WO2022184010A1 - 信息上报方法、装置、第一设备及第二设备 - Google Patents

信息上报方法、装置、第一设备及第二设备 Download PDF

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Publication number
WO2022184010A1
WO2022184010A1 PCT/CN2022/078242 CN2022078242W WO2022184010A1 WO 2022184010 A1 WO2022184010 A1 WO 2022184010A1 CN 2022078242 W CN2022078242 W CN 2022078242W WO 2022184010 A1 WO2022184010 A1 WO 2022184010A1
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Prior art keywords
channel state
state information
information
time
time period
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English (en)
French (fr)
Inventor
杨昂
塔玛拉卡拉盖施
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Vivo Mobile Communication Co Ltd
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Vivo Mobile Communication Co Ltd
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Priority to KR1020237030549A priority Critical patent/KR20230138538A/ko
Priority to JP2023554077A priority patent/JP7830497B2/ja
Priority to EP22762475.6A priority patent/EP4304237A4/en
Publication of WO2022184010A1 publication Critical patent/WO2022184010A1/zh
Priority to US18/460,878 priority patent/US12568001B2/en
Anticipated expiration legal-status Critical
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Definitions

  • the present application belongs to the field of communication technologies, and in particular, relates to an information reporting method, apparatus, first device, and second device.
  • channel state information In mobile communication systems, channel state information (CSI) is very important to channel capacity, especially for multi-antenna systems, the transmitter can optimize signal transmission according to CSI to better match the channel state.
  • the CSI report usually only includes the current channel state information.
  • UE User Equipment
  • the CSI information is often out of date, which is likely to cause beamforming, modulation and coding levels, etc. mismatch, resulting in a reduction in spectral efficiency. It can be seen that in the prior art, there is a problem that the accuracy of the channel state information obtained by the receiving end is poor due to the movement of the transmitting end.
  • Embodiments of the present application provide an information reporting method, apparatus, first device, and second device, which can solve the problem of poor accuracy of channel state information obtained by a receiving end due to movement of a sending end in the prior art.
  • an embodiment of the present application provides a method for reporting information, executed by a first device, and the method includes:
  • the first information includes predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • Channel state information is predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • an embodiment of the present application further provides a method for reporting information, which is executed by a second device, and the method includes:
  • the first information includes predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • Channel state information is predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • an embodiment of the present application provides an information reporting device, and the device includes:
  • a first reporting module configured to report the first information to the second device
  • the first information includes predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • Channel state information is predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • an embodiment of the present application further provides an information reporting device, the device comprising:
  • a first receiving module configured to receive the first information reported by the first device
  • the first information includes predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • Channel state information is predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • an embodiment of the present application further provides a first device, where the first device includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor, the program or the instructions, when executed by the processor, implement the steps of the method as described in the first aspect.
  • an embodiment of the present application further provides a second device, the second device includes a processor, a memory, and a program or instruction stored on the memory and executable on the processor, the program or the instructions, when executed by the processor, implement the steps of the method as described in the second aspect.
  • an embodiment of the present application further provides a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the method according to the first aspect is implemented. steps, or steps for implementing the method according to the second aspect.
  • an embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is configured to run a second device program or instruction to achieve The method according to the first aspect above, or the method according to the second aspect above is implemented.
  • a computer program product is provided, the computer program product is stored in a non-volatile storage medium, the computer program product is executed by at least one processor to implement the method according to the first aspect, Or implement the method as described in the second aspect.
  • the first channel state information includes channel state information located in a first time period after the reference time point, which enables the second device to obtain more accurate channel information when the first device moves, reducing the impact of the first device on communication services. impact on quality.
  • FIG. 1 is a schematic diagram of a neural network provided by an embodiment of the present application.
  • FIG. 2 is a schematic diagram of a neuron provided by an embodiment of the present application.
  • FIG. 3 is a structural diagram of a network system to which an embodiment of the present application can be applied;
  • FIG. 5 is a schematic diagram of predicting channel state information of a first AI network provided by an embodiment of the present application.
  • FIG. 6 is a flowchart of a method for reporting information provided by an embodiment of the present application.
  • FIG. 7 is a structural diagram of an information reporting device provided by an embodiment of the present application.
  • FIG. 8 is a structural diagram of another information reporting device provided by an embodiment of the present application.
  • FIG. 9 is a structural diagram of a first device provided by an embodiment of the present application.
  • FIG. 10 is a structural diagram of a second device provided by an embodiment of the present application.
  • first, second and the like in the description and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It is to be understood that the terms so used are interchangeable under appropriate circumstances so that the embodiments of the present application can be practiced in sequences other than those illustrated or described herein, and that "first”, “second” distinguishes Usually it is a class, and the number of objects is not limited.
  • the first object may be one or multiple.
  • “and/or” in the description and claims indicates at least one of the connected objects, and the character “/" generally indicates that the associated objects are in an "or” relationship.
  • LTE Long Term Evolution
  • LTE-Advanced LTE-Advanced
  • LTE-A Long Term Evolution
  • CDMA Code Division Multiple Access
  • TDMA Time Division Multiple Access
  • FDMA Frequency Division Multiple Access
  • OFDMA Orthogonal Frequency Division Multiple Access
  • SC-FDMA Single-carrier Frequency-Division Multiple Access
  • system and “network” in the embodiments of the present application are often used interchangeably, and the described technology can be used not only for the above-mentioned systems and radio technologies, but also for other systems and radio technologies.
  • NR New Radio
  • 6G most Generation
  • AI networks are implemented in many ways, such as neural networks, decision trees, support vector machines, Bayesian classifiers, and so on. The following takes a neural network as an example for description, but does not limit the specific type of AI network.
  • a schematic diagram of a neural network can be shown in Figure 1.
  • the neural network consists of neurons, and the schematic diagram of the neurons can be shown in Figure 2.
  • z a 1 w 1+...+ a k w k+...+ a K w K+ b, a 1 , a 2 ,... a K are the input
  • w is the weight (multiplicative coefficient)
  • b is the bias ( Additive coefficient)
  • ⁇ (.) is the activation function.
  • Common activation functions include Sigmoid, tanh, ReLU (Rectified Linear Unit, rectified linear unit) and so on.
  • the parameters of the neural network are optimized by an optimization algorithm, wherein the optimization algorithm may be a class of algorithms that can minimize or maximize an objective function (also referred to as a loss function).
  • the objective function is often a mathematical combination of model parameters and data. For example, given data X and its corresponding label Y, construct a neural network model f(.). After constructing the neural network model, the predicted output f(x) can be obtained according to the input x, and the predicted value can be calculated. The gap (f(x)-Y) between it and the true value, this is the loss function.
  • the purpose of neural network model training is to find the appropriate w and b to minimize the value of the above loss function. The smaller the loss value, the closer the neural network model is to the real situation.
  • the current common optimization algorithms are basically based on the error back propagation (error Back Propagation, BP) algorithm.
  • BP error Back Propagation
  • the basic idea of the BP algorithm is that the learning process consists of two processes, the forward propagation of the signal and the back propagation of the error.
  • input samples are passed in from the input layer, processed layer by layer in each hidden layer, and then transmitted to the output layer. If the actual output of the output layer does not match the expected output, it goes to the back-propagation stage of the error.
  • the error back propagation is to pass the output error back to the input layer layer by layer through the hidden layer in some form, and distribute the error to all units of each layer, so as to obtain the error signal of each layer unit, and this error signal is used as the correction unit. basis of weight.
  • the weight adjustment process of each layer of signal forward propagation and error back propagation is carried out repeatedly.
  • the process of continuously adjusting the weights is the learning and training process of the network. This process continues until the error of the network output is reduced to an acceptable level, or until a preset number of learning times is reached.
  • the above optimization algorithms are based on the error/loss obtained by the loss function when the error is back-propagated, and the derivative/partial derivative is obtained for the current neuron, plus the learning rate, the previous gradient/derivative/partial derivative and other influences to obtain the gradient, Pass the gradient to the previous layer.
  • LTE Long Term Evolution
  • LTE-Advanced, LTE-A Long Term Evolution
  • OFDM Orthogonal Frequency Division Multiplexing
  • MIMO technology is advancing in the direction of three-dimensional and large-scale.
  • 3GPP 3rd Generation Partnership Project
  • 3D three-dimensional channel modeling research projects
  • NR New Radio
  • Massive MIMO technology uses a large-scale antenna array, which can greatly improve the efficiency of system frequency band utilization and support a larger number of access users. Therefore, major research organizations regard Massive MIMO technology as one of the most potential physical layer technologies in the next-generation mobile communication system.
  • digital-analog hybrid beamforming technology came into being, that is, on the basis of traditional digital domain beamforming, a first-level beamforming is added to the RF signal at the front end of the antenna system. shape.
  • the analog shaping can achieve rough matching between the transmitted signal and the channel in a relatively simple way.
  • the dimension of the equivalent channel formed after analog shaping is smaller than the actual number of antennas, so the required AD/DA conversion devices, the number of digital channels and the corresponding baseband processing complexity can be greatly reduced.
  • the residual interference of the analog shaped part can be processed again in the digital domain to ensure the quality of MU-MIMO transmission.
  • digital-analog hybrid beamforming is a compromise between performance and complexity.
  • RI Rank Indicator
  • CQI Channel Quality Indicator
  • PMI Precoding Matrix Indicator
  • LI Layer Indicator
  • Beam Quality such as Layer 1 Reference Signal Received Power (Layer 1 Reference Signal Received Power, L1-RSRP).
  • CQI can be used to select an appropriate modulation and coding scheme (Modulation and Coding Scheme, MCS) to achieve link adaptation;
  • PMI can be used to achieve Eigen Beamforming to maximize the strength of the received signal, or to suppress Interference (such as inter-cell interference, multi-user interference, etc.). Therefore, CSI acquisition has always been a research hotspot since the multi-antenna technique (MIMO) was proposed.
  • MCS Modulation and Coding Scheme
  • the terminal sends a Sounding Reference Signal (SRS) to the network device, and then the network device estimates the channel according to the SRS to obtain the uplink channel information.
  • SRS Sounding Reference Signal
  • FDD frequency division multiplexing
  • the uplink channel represented by SRS cannot accurately know the information of the downlink channel.
  • Reference Singal, CSI-RS the terminal performs channel estimation according to the CSI-RS, obtains the information of the downlink channel, and then uses the codebook specified in the protocol to feed back the PMI to the network device.
  • the network device can recover the downlink channel based on the codebook and PMI. information.
  • Type I codebooks Type I codebooks and Type II (Type II) codebooks, the core ideas of which are based on oversampled 2D discrete fourier transformation beam, oversampled 2D DFT beam), the codeword is constructed through certain rules, and the corresponding channel vector or matrix can be retrieved through the bit information of the PMI.
  • the precoding matrix W in the single-panel CSI codebook of Type I can be expressed as the product of two matrices W1 and W2, and the information of W1 and W2 will be reported separately.
  • W1 represents long-term and frequency-independent channel characteristics, and the terminal reports a W1 for the entire reporting bandwidth; while W2 tries to capture short-term and frequency-related channel characteristics, the terminal will report a W2 for each subband, or not Report W2.
  • W1 and W2 consist of oversampled 2D DFT beams.
  • Type II The difference between Type II and Type I is that Type I ultimately reports only one beam, while Type II reports up to four orthogonal beams. For each beam and two polarization directions of the beam, the reported PMI will provide a corresponding amplitude value (broadband and subband) and a phase value (subband). In this way Type II captures the dominant propagation path and corresponding magnitude and phase, providing more detailed channel information. Of course, the overhead of Type II is generally greater than that of Type I.
  • the first device may be a terminal or a network device
  • the second device may be a terminal or a network device.
  • the first device is used as a terminal and the second device as a network device as an example for description.
  • FIG. 3 shows a block diagram of a wireless communication system to which the embodiments of the present application can be applied.
  • the wireless communication system includes a terminal 11 and a network device 12 .
  • the terminal 11 may also be called a terminal device or a user terminal (User Equipment, UE), and the terminal 11 may be a mobile phone, a tablet computer (Tablet Personal Computer), a laptop computer (Laptop Computer) or a notebook computer, a personal digital computer Assistant (Personal Digital Assistant, PDA), handheld computer, netbook, ultra-mobile personal computer (ultra-mobile personal computer, UMPC), mobile Internet device (Mobile Internet Device, MID), wearable device (Wearable Device) or vehicle-mounted device (VUE), pedestrian terminal (PUE) and other terminal-side devices, wearable devices include: bracelets, headphones, glasses, etc. It should be noted that, the embodiment of the present application does not limit the specific type of the terminal 11 .
  • the network device 12 may be a base station or a core network, where the base station may be referred to as a Node B, an evolved Node B, an access point, a Base Transceiver Station (BTS), a radio base station, a radio transceiver, a basic service set (Basic Service Set, BSS), Extended Service Set (Extended Service Set, ESS), Node B, Evolved Node B (eNB), Home Node B, Home Evolved Node B, WLAN Access Point, WiFi Node, Transmission and Reception Point (Transmitting Receiving Point, TRP) or some other suitable term in the field, as long as the same technical effect is achieved, the base station is not limited to specific technical vocabulary, it should be noted that in the embodiment of this application, only NR is used The base station in the system is taken as an example, but the specific type of the base station is not limited.
  • FIG. 4 is a flowchart of an information reporting method provided by an embodiment of the present application. The method may be executed by a first device, as shown in FIG. 4, including the following steps:
  • Step 401 reporting the first information to the second device
  • the first information includes predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • Channel state information is predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • the above-mentioned first device may be a terminal or a network device; the above-mentioned second device may be a terminal or a network device.
  • the first device is a terminal and the second device is a network device, or the first device is a terminal and the second device is a terminal that can communicate with the first device, for example, the second device communicates with the first device through a side link,
  • Another example is the scenarios of the Internet of Vehicles and the Internet of Things.
  • the above-mentioned reference time point may be a time point related to the current channel state information, for example, the current channel state information configuration time, the current channel state information transmission time, the current channel state information reception time, the current channel state information The activation time of the information report, the trigger time of the current channel state information report, or the reference signal measurement time of the current channel state information, etc.
  • the above-mentioned first time period may be K CSI reporting periods, K RS periods, K time slots, K half-slots, K symbols, K subframes, and K radio frames located after the reference time point , K milliseconds, K seconds, or K minutes, etc. It can be understood that, the above-mentioned first time period may also include K other common time units located after the reference time point, which are not listed one by one here, where K is a positive integer.
  • the above-mentioned first channel state information may be channel state information predicted according to at least one of the channel state information at the current moment and the channel state information at the historical moment. It should be noted that the above-mentioned first channel state information may include one or more pieces of channel state information in the first time period. For example, if the first time period includes K time slots, the above-mentioned first channel state information may include K time slots. Channel state information for each slot in the slot.
  • the above-mentioned second information may be information obtained after the first channel state information is subjected to target processing, wherein the above-mentioned target processing may include, but is not limited to, at least one of encoding processing, compression processing, and combining processing.
  • the information reporting method provided by the embodiment of the present application by reporting the channel state information of the predicted first time period to the second device, that is, reporting the channel state information of the future time period to the second device, can be used in the case where the first device moves. In this way, the second device can obtain more accurate channel information, thereby reducing the impact of the movement of the first device on the quality of communication service.
  • the first channel state information may include at least one of the following: precoding matrix indication PMI; channel quality indication CQI; rank indication RI; layer indication LI; original channel information; channel quality indicator value; beam information; channel The time domain stability index value of the channel; the large-scale parameters of the channel; the location information of the first device indicated by the channel.
  • first channel state information may also include other common channel state feature information, which are not listed one by one here.
  • the foregoing PMI may also be referred to as beamforming information, and may be used to implement eigenbeamforming.
  • the above-mentioned original channel information can be used to reflect the original channel information, for example, a channel matrix, characteristic information obtained by decomposing the channel matrix, and the like.
  • the above-mentioned channel quality index values may include, but are not limited to, at least one of a signal-to-noise ratio (Signal Noise Ratio, SNR), a signal to interference plus noise ratio (Signal to Interference Plus Noise Ratio, SINR), signal power, noise power, and interference power. one.
  • SNR Signal-to-noise ratio
  • SINR Signal to Interference Plus Noise Ratio
  • the beam information may include, but is not limited to, a reference signal (Reference Signal, RS) identifier of the beam, beam quality information, and the like.
  • RS Reference Signal
  • the time-domain stability index value of the channel can be used to reflect the change of the channel information, for example, the variance, worst value, optimal value, and variation range of the channel information within a period of time.
  • the large-scale parameters of the above channel may include, but are not limited to, Doppler shift (Doppler shift), Doppler spread (Doppler spread), average delay (average delay), delay spread (delay spread), and the like.
  • the location information of the first device indicated by the channel may refer to the location information of the first device determined according to the channel information.
  • the original channel information includes at least one of the following: a channel matrix, and feature information obtained by decomposing the channel matrix by a target decomposition method.
  • the above-mentioned channel matrix may include channel information from each antenna or transceiver unit (TX, RU) at the transmitting end to each antenna or transceiver unit (TX, RU) at the receiving end, including amplitude, phase, delay, and Doppler at least one of extensions, etc.
  • the feature information obtained by decomposing the channel matrix through the target decomposition method may include at least one of an eigenvector, an eigenmatrix or an eigenvalue obtained by decomposing the channel matrix through the target decomposition method.
  • the above-mentioned channel matrix may include an eigenvector (also referred to as a singular vector or SVD vector) or an eigenvalue (also referred to as a singular value) obtained by the channel matrix through singular value decomposition (Singular Value Decomposition, SVD).
  • the target decomposition manner includes at least one of the following: singular value decomposition; triangular factorization (Triangular Factorization); QR Factorization (QR Factorization); Cholesky decomposition; spectral decomposition.
  • the feature information obtained by decomposing the above-mentioned channel matrix by the target decomposition method may include the characteristic information obtained by the above-mentioned channel matrix through each decomposition method, for example, if the above-mentioned target decomposition method Including singular value decomposition and triangular decomposition, the characteristic information obtained by the above-mentioned channel matrix decomposed by the target decomposition method may include the characteristic information obtained by the channel matrix by the singular value decomposition, such as singular vectors, singular values, etc., and the channel matrix obtained by triangular decomposition. feature information, such as feature matrix, eigenvector, eigenvalue, etc.
  • the beam information may include:
  • the RS identifier of the beam in each time unit of the first time period and the beam quality indicator value corresponding to the RS identifier are the RS identifier of the beam in each time unit of the first time period and the beam quality indicator value corresponding to the RS identifier.
  • the above-mentioned time unit may include, but is not limited to, a CSI reporting period, an RS period, a time slot, a half-slot, a symbol, a subframe, a radio frame, a millisecond, a second, or a minute, and the like.
  • the above-mentioned beam quality index value may be used to measure the beam quality, for example, may include reference signal received power (Reference Signal Receiving Power, RSRP), reference signal reception quality (Reference Signal Receiving Quality, RSRQ), SINR, and the like.
  • the reference signal identifier (RS ID) of the beam in the above-mentioned first time period does not change, and the beam quality of the RS may change
  • the above-mentioned beam information can include the RS ID of the beam and the RS ID in the beam.
  • Beam quality indicator values of each time unit of the first time period For example, if the first time period includes multiple time slots, the beam information may include the RS ID of the beam and each time slot in the first time period. The beam quality indicator value of the slot.
  • both the RS ID and the beam quality of the beam in the first time period may vary.
  • the beam information may include the RS ID and the beam quality of each time unit in the first time period.
  • the beam quality index value corresponding to the RS ID For example, if the above-mentioned first time period includes multiple symbols, the above-mentioned beam information may include the RS ID of the beam of each symbol in the above-mentioned first time period and the beam corresponding to the RS ID. Quality indicator value.
  • the time domain stability index value of the channel is determined according to at least one of the following: the variance of the channel state information in the second time period, the worst value of the channel state information in the second time period, the second time period.
  • the difference between the optimal value of the channel state information in the segment and the worst value of the channel state information in the second time segment, the variation range of the channel state information in the second time segment, the respective channel state information in the second time segment The difference between the value of and the limit value of the channel state information in the second time period.
  • the above-mentioned second time period may be the above-mentioned first time period or a time period within the above-mentioned first time period.
  • the channel state information in the second time period may include, but is not limited to, at least one of PMI, CQI, RI, LI, channel quality index value, large-scale parameters of the channel, etc. in the second time period.
  • the channel state information in the second time period includes a plurality of channel state information in the second time period, for example, the channel state information in the second time period includes a plurality of PMIs in the second time period .
  • the limit value of the channel state information in the above-mentioned second time period may refer to the optimal value or the worst value of the channel state information in the above-mentioned second time period.
  • the above-mentioned second time period includes CQI#1 to CQI#m, where m is an integer greater than 1, and the optimal value among CQI#1 to CQI#m is the value of CQI#2, then the CQI can be calculated separately The difference between the value of each CQI in #1 to CQI#m and the value of CQI#2.
  • the above-mentioned second time period includes RI#1 to RI#n, where n is an integer greater than 1, the maximum value of RI#1 to RI#n is the value x1 of RI#1, and the minimum value is RI The value of #3 is x2, then the variation range of RI is [x2, x1].
  • the time-domain stability index value of the channel may include at least one of the above-mentioned index values, and an index value obtained by calculating the above-mentioned index values according to a preset calculation method, wherein the above-mentioned preset calculation
  • the manner may include, but is not limited to, at least one of addition, subtraction, multiplication, division, N power, N square root, logarithm, derivation, partial derivation, and the like.
  • N can be any number, for example, N can be a positive number or a negative number or 0, or N can be a real number or a complex number, etc.
  • the start time point of the first time period is one of the following: the reference time point, the reference time point is advanced by a first time period, and the reference time point is delayed by a second time period;
  • the end time point of the first time period is one of the following: K time units after the start time point of the first time period, K time units after the start time point of the first time period are ahead of the first time. Three durations, K time units after the start time point of the first time period are delayed by a fourth duration, where K is a positive integer.
  • At least one of the first duration, the second duration, the third duration, the fourth duration, the value of K, the type of the time unit, etc. may be predefined by the protocol, or may be configured by the second device .
  • the above-mentioned reference time point being advanced by the first period of time may be: the above-mentioned reference time point-the first period of time.
  • the above-mentioned reference time point delay by the second duration may be: the above-mentioned reference time point+second duration.
  • the K time units after the start time point of the first time period may be: the start time point of the first time period+K time units.
  • the K time units ahead of the start time point of the first time period by the third time period may be: the start time point of the first time period ⁇ the third time period+K time units.
  • the delay of K time units after the start time point of the first time period and the fourth time period may be: the start time point of the first time period+K time units+the fourth time period.
  • the start time point of the first time period may be: reference time point + 3 time slots
  • the end time point of the first time period may be: reference time point+3 time slots+K CSI reporting periods-2 time slots.
  • the time unit includes one of the following items: CSI reporting period; RS period; time slot; half-slot; symbol; subframe; radio frame; millisecond; second; minute.
  • the above-mentioned RS period may refer to the period of the RS used for CSI feedback measurement.
  • the above symbols may be orthogonal frequency division multiplexing (Orthogonal Frequency Division Multiplexing, OFDM) symbols.
  • the parameters of the first time period are configured by the second device
  • the parameters of the first time period include at least one of the following: the first duration; the second duration; the value of K; the type of the time unit; the third duration; the fourth duration.
  • the types of the above-mentioned time units include a CSI reporting period, an RS period, a time slot, a half-slot, a symbol, a subframe, a radio frame, a millisecond, a second, a minute, and the like.
  • the parameters of the first time period can be controlled by the second device through radio resource control (Radio Resource Control, RRC), media access control control element (Media Access Control Control Element, MAC CE), downlink control information ( Downlink control information, DCI) configuration or activation.
  • RRC Radio Resource Control
  • media access control control element Media Access Control Control Element, MAC CE
  • DCI Downlink control information
  • the reference time point includes the following item: the configuration time of the current channel state information, the transmission time of the current channel state information, the reception time of the current channel state information, and the activation time of the current channel state information report. , the trigger moment of the current channel state information reporting, and the reference signal measurement moment of the current channel state information.
  • the above-mentioned DCI sending time or DCI receiving time is the above-mentioned time.
  • the activation time or trigger time of the current channel state information report for example, if the reporting of the current channel state information is activated or triggered through DCI, the above-mentioned DCI sending time or DCI receiving time is the above-mentioned time.
  • the first channel state information is predicted and obtained according to second channel state information
  • the second channel state information includes at least one of the following:
  • the channel state information of the reference time point and the channel state information of the third time period before the reference time point may include PMI, CQI, RI, LI, original channel information, channel quality index value, beam information, the time domain stability index value of the channel, the large-scale parameters of the channel, and the location information of the first device indicated by the channel. This will not be repeated.
  • the end time point of the third time period may be one of the following: the reference time point, the reference time point is advanced by a fifth time period, and the reference time point is delayed by a sixth time period;
  • the start time point of the above-mentioned third time period is one of the following: J time units before the end time point of the third time period, and J time units before the end time point of the third time period are seventh in advance. duration, J time units before the end time point of the third time period are delayed by an eighth duration, where J is a positive integer.
  • At least one of the fifth duration, the sixth duration, the seventh duration, the eighth duration, the value of J, the type of the time unit, etc. may be predefined by the protocol or configured by the second device.
  • the type of the time unit may include a CSI reporting period, an RS period, a time slot, a half-slot, a symbol, a subframe, a radio frame, a millisecond, a second, a minute, and the like.
  • This embodiment of the present application predicts the channel state information of the first time period according to at least one of the channel state information of the reference time point and the channel state information of the third time period before the reference time point, which can improve the predicted result. Accuracy of channel state information.
  • the signal-to-noise ratio or signal-to-interference-to-noise ratio of the channel the broadband characteristics of the channel, the Channel characteristic information such as time-domain correlation, frequency-domain correlation of the channel, and time-delay-Doppler-domain characteristics of the channel predict the channel state information of the first time period.
  • the first channel state information is channel state information output by the first AI network after the second channel state information is input to the first AI network.
  • the above-mentioned first AI network may be a pre-trained AI network for predicting channel state information, for example, a pre-trained neural network for predicting channel state information.
  • the second channel state information may be input into the first AI network, and the first AI network outputs the predicted channel state information according to the second channel state information.
  • the channel information obtained by measuring the periodic reference signal in the past 4 periods passes through the first AI network to predict the channel information of 4 time slots before the next reference signal measurement period, among which 1 reference signal The measurement period is 5 time slots.
  • the input of the first AI network may also include the moving speed of the first device, the signal-to-noise ratio or the signal-to-interference-to-noise ratio of the channel, the channel bandwidth characteristics, and the time of the channel.
  • Channel feature information such as domain correlation, channel frequency domain correlation, channel delay-Doppler domain feature, etc., is not limited in this embodiment.
  • the format of the first channel state information output by the above-mentioned first AI network may be reasonably set according to the actual situation, for example, it may be a binary format.
  • the second information is information obtained by subjecting the first channel state information to target processing, where the target processing includes at least one of encoding processing and compression processing.
  • the foregoing encoding process may include, but is not limited to, entropy encoding or Huffman encoding.
  • the above-mentioned compression processing may include, but is not limited to, lossy compression or lossless compression.
  • the first channel state information includes the channel state information of K time units, that is, it includes the channel state information of the first time unit, the channel state information of the second time unit, and the channel state information of the Kth time unit. information
  • the channel state information of the K time units may be encoded and compressed before being sent to the second device, so as to reduce the size of the transmission data and save the resource overhead.
  • the method further includes:
  • the first device may report the channel state information of the reference time point and the channel state information of the first time period predicted to the second device, so that the second device can obtain more abundant channel state information, so as to Know the channel state more accurately.
  • the first channel state information includes at least one of wideband channel state information and subband channel state information.
  • the subbands are divided in one of the following manners: dividing by frequency domain, dividing by code domain, dividing by space domain, dividing by time delay domain, and dividing by Doppler domain.
  • frequency domain resources are divided by resource block (Resource Block, RB), physical resource block (Physical Resource Block, PRB), subband, Physical Resource Group (Physical Resource Group, PRG) or bandwidth part (Bandwidth Part, BWP) and other methods.
  • resource block Resource Block
  • PRB Physical Resource Block
  • PRG Physical Resource Group
  • BWP bandwidth part
  • code domain resources are divided by orthogonal codes, quasi-orthogonal codes or semi-orthogonal codes.
  • the above-mentioned division is based on spatial domains, for example, spatial resources are divided by antennas, antenna elements, antenna panels, transmitting and receiving units, beams, layers, ranks, or antenna angles.
  • the information type of the first channel state information is the same as the information type of the channel state information at the reference time point;
  • the information type of the first channel state information is determined according to the capability information of the first device
  • the information type of the first channel state information is configured by the second device
  • the information type of the first channel state information is broadband channel state information
  • the information type of the first channel state information is the channel state information of the subband
  • the information types include broadband channel state information and subband channel state information.
  • the information type of the first channel state information is the same as the information type of the channel state information at the reference time point.
  • the first channel state information at the reference time point is broadband channel state information
  • the first channel state information The state information is broadband channel state information
  • the channel state information at the reference time point is the channel state information of the subband
  • the above-mentioned first channel state information is the channel state information of the subband.
  • the information type of the first channel state information is determined according to the capability information of the first device. For example, if the capability of the first device only supports broadband channel state information, the first channel state information is broadband If the capability of the first device only supports the channel state information of the subband, the above-mentioned first channel state information is the channel state information of the subband.
  • the above-mentioned first channel state information may be the subband channel state information.
  • the information type of the first channel state information can be determined according to other parameters, for example, according to the configuration sent by the second device.
  • the parameter determines the information type of the above-mentioned first channel state information.
  • the information type of the first channel state information is configured by the second device. For example, if the information type of the first channel state information configured by the second device is broadband channel state information, the second device configures the information type of the first channel state information as broadband channel state information.
  • One channel state information is broadband channel state information; if the second device configures the information type of the first channel state information as subband channel state information, the first channel state information is subband channel state information.
  • the information type of the first channel state information is broadband channel state information, regardless of whether the information type of the channel state information at the reference time point is broadband channel state information or subband channel state information.
  • the information type of the first channel state information is subband channel state information, regardless of whether the information type of the channel state information at the reference time point is broadband channel state information or subband channel state information.
  • the method before the reporting of the first information to the second device, the method further includes:
  • a first indication sent by the second device is received, where the first indication is used to instruct the first device to report the predicted channel state information.
  • the first device may receive the first indication sent by the second device through RRC, MAC CE, or DCI, etc., and execute the foregoing step 401 in the case of receiving the foregoing first indication.
  • the second device may activate the information reporting method provided by the embodiments of the present application through RRC, MAC CE, or DCI.
  • the first device receives the first indication sent by the second device, if the first device supports reporting of the predicted channel state information, the above step 401 is performed.
  • FIG. 6 is a flowchart of another information reporting method provided by an embodiment of the present application. The method is executed by a second device, as shown in FIG. 6, and includes the following steps:
  • Step 601 Receive first information reported by a first device
  • the first information includes predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • Channel state information is predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • the above-mentioned first device may be a terminal or a network device; the above-mentioned second device may be a terminal or a network device.
  • the first device is a terminal and the second device is a network device, or the first device is a terminal and the second device is a terminal that can communicate with the first device.
  • the second device communicates with the first device through a side link.
  • the above-mentioned reference time point may be a time point related to the current channel state information, for example, the current channel state information configuration time, the current channel state information transmission time, the current channel state information reception time, the current channel state information The activation time of the information report, the trigger time of the current channel state information report, or the reference signal measurement time of the current channel state information, etc.
  • the above-mentioned first time period may be K CSI reporting periods, K RS periods, K time slots, K half-slots, K symbols, K subframes, and K radio frames located after the reference time point , K milliseconds, K seconds, or K minutes, etc., where K is a positive integer.
  • the above-mentioned first channel state information may be channel state information predicted according to at least one of the channel state information at the current moment and the channel state information at the historical moment. It should be noted that the above-mentioned first channel state information may include one or more pieces of channel state information in the first time period. For example, if the first time period includes K time slots, the above-mentioned first channel state information may include K time slots. Channel state information for each slot in the slot.
  • the above-mentioned second information may be information obtained after the first channel state information is subjected to target processing, wherein the above-mentioned target processing may include, but is not limited to, at least one of encoding processing, compression processing, and combining processing.
  • the second device may determine the desired channel state information according to the first information, or may determine the desired channel state information according to the first information and the channel state information at the reference time point.
  • the type of the desired channel state information and the type of the first information may be the same.
  • the information type of the first information is the predicted CQI of the first time period, and the desired channel state information may also be the CQI.
  • the type of the desired channel state information and the type of the first information may also be different, for example, the first information is the predicted CQI of the first time period, and the desired channel state information may be a channel matrix.
  • the information reporting method provided by the embodiment of the present application can move the mobile phone between the first device by receiving the channel state information of the predicted first time period reported by the first device, that is, receiving the channel state information of the future period reported by the first device.
  • the second device can obtain more accurate channel information, thereby reducing the impact of the movement of the first device on the communication service quality.
  • the first channel state information includes at least one of the following: precoding matrix indication PMI; channel quality indication CQI; rank indication RI; layer indication LI; original channel information; channel quality indicator value; beam information; Time domain stability index value; large-scale parameters of the channel; location information of the first device indicated by the channel.
  • the original channel information includes at least one of the following: a channel matrix, and feature information obtained by decomposing the channel matrix by a target decomposition method.
  • the target decomposition manner includes at least one of the following: singular value decomposition; triangular decomposition; regular triangular decomposition; Cholesky decomposition; spectrum decomposition.
  • the beam information includes:
  • the RS identifier of the beam in each time unit of the first time period and the beam quality indicator value corresponding to the RS identifier are the RS identifier of the beam in each time unit of the first time period and the beam quality indicator value corresponding to the RS identifier.
  • the time domain stability index value of the channel is determined according to at least one of the following: the variance of the channel state information in the second time period, the worst value of the channel state information in the second time period, the second time period.
  • the difference between the optimal value of the channel state information in the segment and the worst value of the channel state information in the second time segment, the variation range of the channel state information in the second time segment, the respective channel state information in the second time segment The difference between the value of and the limit value of the channel state information in the second time period.
  • the start time point of the first time period is one of the following: the reference time point, the reference time point is advanced by a first time period, and the reference time point is delayed by a second time period;
  • the end time point of the first time period is one of the following: K time units after the start time point of the first time period, K time units after the start time point of the first time period are ahead of the first time. Three durations, K time units after the start time point of the first time period are delayed by a fourth duration, where K is a positive integer.
  • the time unit includes one of the following items: CSI reporting period; RS period; time slot; half-slot; symbol; subframe; radio frame; millisecond; second; minute.
  • the parameters of the first time period are configured by the second device
  • the parameters of the first time period include at least one of the following: the first duration; the second duration; the value of K; the type of the time unit; the third duration; the fourth duration.
  • the reference time point includes the following item: the configuration time of the current channel state information, the transmission time of the current channel state information, the reception time of the current channel state information, and the activation time of the current channel state information report. , the trigger moment of the current channel state information reporting, and the reference signal measurement moment of the current channel state information.
  • the first channel state information is predicted and obtained according to second channel state information
  • the second channel state information includes at least one of the following:
  • the first channel state information is channel state information output by the first AI network after the second channel state information is input to the first AI network.
  • the second device may input the first channel state information into the second AI network to obtain desired channel state information.
  • the above-mentioned second AI network and the first AI network may be two AI networks obtained by joint training, wherein the above-mentioned first AI network is used for the encoding process, and the second AI network is used for the decoding process.
  • the second information is information obtained by subjecting the first channel state information to target processing, where the target processing includes at least one of encoding processing and compression processing.
  • the method further includes:
  • the first channel state information includes at least one of wideband channel state information and subband channel state information.
  • the subbands are divided in one of the following manners: dividing by frequency domain, dividing by code domain, dividing by space domain, dividing by time delay domain, and dividing by Doppler domain.
  • the information type of the first channel state information is the same as the information type of the channel state information at the reference time point;
  • the information type of the first channel state information is determined according to the capability information of the first device
  • the information type of the first channel state information is configured by the second device
  • the information type of the first channel state information is broadband channel state information
  • the information type of the first channel state information is the channel state information of the subband
  • the information types include broadband channel state information and subband channel state information.
  • the method further includes:
  • Desired channel state information is determined according to the first information and the channel state information at the reference time point.
  • the second device may directly determine the desired channel state information according to the first information, that is, directly restore the desired channel state information according to the predicted channel state information of the first time period. For example, if the first information is the channel state information output by the first AI network, the second device may input it into the matching second AI network to obtain the desired channel state information.
  • the second device may determine desired channel state information based on the first information and the channel state information at the reference time point, that is, according to the predicted channel state information in the first time period and the channel state at the reference time point information to determine the desired channel state information to improve the accuracy of the obtained channel state information. For example, if the first information is the channel state information output by the first AI network, the second device can input the channel state information output by the first AI network together with the channel state information at the reference time point into the matching second AI network to obtain the desired channel state information.
  • the method before receiving the first information reported by the first device, the method further includes:
  • this embodiment is an implementation of the second device corresponding to the embodiment shown in FIG. 4 .
  • FIG. 7 is a structural diagram of an information reporting apparatus provided by an embodiment of the present application. As shown in FIG. 7, the information reporting apparatus 700 includes:
  • a first reporting module 701, configured to report the first information to the second device
  • the first information includes predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • Channel state information is predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • the first channel state information includes at least one of the following: precoding matrix indication PMI; channel quality indication CQI; rank indication RI; layer indication LI; original channel information; channel quality indicator value; beam information; Time domain stability index value; large-scale parameters of the channel; location information of the first device indicated by the channel.
  • the original channel information includes at least one of the following: a channel matrix, and feature information obtained by decomposing the channel matrix by a target decomposition method.
  • the target decomposition manner includes at least one of the following: singular value decomposition; triangular decomposition; regular triangular decomposition; Cholesky decomposition; spectrum decomposition.
  • the beam information includes:
  • the RS identifier of the beam in each time unit of the first time period and the beam quality indicator value corresponding to the RS identifier are the RS identifier of the beam in each time unit of the first time period and the beam quality indicator value corresponding to the RS identifier.
  • the time domain stability index value of the channel is determined according to at least one of the following: the variance of the channel state information in the second time period, the worst value of the channel state information in the second time period, the second time period.
  • the difference between the optimal value of the channel state information in the segment and the worst value of the channel state information in the second time segment, the variation range of the channel state information in the second time segment, the respective channel state information in the second time segment The difference between the value of and the limit value of the channel state information in the second time period.
  • the start time point of the first time period is one of the following: the reference time point, the reference time point is advanced by a first time period, and the reference time point is delayed by a second time period;
  • the end time point of the first time period is one of the following: K time units after the start time point of the first time period, K time units after the start time point of the first time period are ahead of the first time. Three durations, K time units after the start time point of the first time period are delayed by a fourth duration, where K is a positive integer.
  • the time unit includes one of the following items: CSI reporting period; RS period; time slot; half-slot; symbol; subframe; radio frame; millisecond; second; minute.
  • the parameters of the first time period are configured by the second device
  • the parameters of the first time period include at least one of the following: the first duration; the second duration; the value of K; the type of the time unit; the third duration; the fourth duration.
  • the reference time point includes the following item: the configuration time of the current channel state information, the transmission time of the current channel state information, the reception time of the current channel state information, and the activation time of the current channel state information report. , the trigger moment of the current channel state information reporting, and the reference signal measurement moment of the current channel state information.
  • the first channel state information is predicted and obtained according to second channel state information
  • the second channel state information includes at least one of the following:
  • the first channel state information is channel state information output by the first AI network after the second channel state information is input to the first AI network.
  • the second information is information obtained by subjecting the first channel state information to target processing, where the target processing includes at least one of encoding processing and compression processing.
  • the device further includes:
  • the second reporting module is configured to report the channel state information of the reference time point to the second device.
  • the first channel state information includes at least one of wideband channel state information and subband channel state information.
  • the subbands are divided in one of the following manners: dividing by frequency domain, dividing by code domain, dividing by space domain, dividing by time delay domain, and dividing by Doppler domain.
  • the information type of the first channel state information is the same as the information type of the channel state information at the reference time point;
  • the information type of the first channel state information is determined according to the capability information of the first device
  • the information type of the first channel state information is configured by the second device
  • the information type of the first channel state information is broadband channel state information
  • the information type of the first channel state information is the channel state information of the subband
  • the information types include broadband channel state information and subband channel state information.
  • the device further includes:
  • a receiving module configured to receive a first indication sent by the second device before reporting the first information to the second device, where the first indication is used to instruct the first device to report the predicted channel state information.
  • the information reporting apparatus provided in this embodiment of the present application can implement each process in the method embodiment shown in FIG. 4 , which is not repeated here to avoid repetition.
  • the information reporting apparatus in this embodiment of the present application may be an apparatus, or may be a component, an integrated circuit, or a chip in the first device.
  • FIG. 8 is a structural diagram of another information reporting apparatus provided by an embodiment of the present application. As shown in FIG. 8, the information reporting apparatus 800 includes:
  • the first information includes predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • Channel state information is predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • the first channel state information includes at least one of the following: precoding matrix indication PMI; channel quality indication CQI; rank indication RI; layer indication LI; original channel information; channel quality indicator value; beam information; Time domain stability index value; large-scale parameters of the channel; location information of the first device indicated by the channel.
  • the original channel information includes at least one of the following: a channel matrix, and feature information obtained by decomposing the channel matrix by a target decomposition method.
  • the target decomposition manner includes at least one of the following: singular value decomposition; triangular decomposition; regular triangular decomposition; Cholesky decomposition; spectrum decomposition.
  • the beam information includes:
  • the RS identifier of the beam in each time unit of the first time period and the beam quality indicator value corresponding to the RS identifier are the RS identifier of the beam in each time unit of the first time period and the beam quality indicator value corresponding to the RS identifier.
  • the time domain stability index value of the channel is determined according to at least one of the following: the variance of the channel state information in the second time period, the worst value of the channel state information in the second time period, the second time period.
  • the difference between the optimal value of the channel state information in the segment and the worst value of the channel state information in the second time segment, the variation range of the channel state information in the second time segment, the respective channel state information in the second time segment The difference between the value of and the limit value of the channel state information in the second time period.
  • the start time point of the first time period is one of the following: the reference time point, the reference time point is advanced by a first time period, and the reference time point is delayed by a second time period;
  • the end time point of the first time period is one of the following: K time units after the start time point of the first time period, K time units after the start time point of the first time period are ahead of the first time. Three durations, K time units after the start time point of the first time period are delayed by a fourth duration, where K is a positive integer.
  • the time unit includes one of the following items: CSI reporting period; RS period; time slot; half-slot; symbol; subframe; radio frame; millisecond; second; minute.
  • the parameters of the first time period are configured by the second device
  • the parameters of the first time period include at least one of the following: the first duration; the second duration; the value of K; the type of the time unit; the third duration; the fourth duration.
  • the reference time point includes the following item: the configuration time of the current channel state information, the transmission time of the current channel state information, the reception time of the current channel state information, and the activation time of the current channel state information report. , the trigger moment of the current channel state information reporting, and the reference signal measurement moment of the current channel state information.
  • the first channel state information is predicted and obtained according to second channel state information
  • the second channel state information includes at least one of the following:
  • the first channel state information is channel state information output by the first AI network after the second channel state information is input to the first AI network.
  • the second information is information obtained by subjecting the first channel state information to target processing, where the target processing includes at least one of encoding processing and compression processing.
  • the device further includes:
  • the second receiving module is configured to receive the channel state information of the reference time point reported by the first device.
  • the first channel state information includes at least one of wideband channel state information and subband channel state information.
  • the subbands are divided in one of the following manners: dividing by frequency domain, dividing by code domain, dividing by space domain, dividing by time delay domain, and dividing by Doppler domain.
  • the information type of the first channel state information is the same as the information type of the channel state information at the reference time point;
  • the information type of the first channel state information is determined according to the capability information of the first device
  • the information type of the first channel state information is configured by the second device
  • the information type of the first channel state information is broadband channel state information
  • the information type of the first channel state information is the channel state information of the subband
  • the information types include broadband channel state information and subband channel state information.
  • the device further includes:
  • a first determining module configured to determine desired channel state information according to the first information
  • a second determining module configured to determine desired channel state information according to the first information and the channel state information at the reference time point.
  • the device further includes:
  • a sending module configured to send a first indication to the first device before receiving the first information reported by the first device, where the first indication is used to instruct the first device to report the predicted channel state information .
  • the information reporting apparatus provided in this embodiment of the present application can implement each process in the method embodiment of FIG. 6 , and to avoid repetition, details are not described here.
  • the information reporting apparatus in this embodiment of the present application may be an apparatus, or may be a component, an integrated circuit, or a chip in the second device.
  • FIG. 9 is a structural diagram of a first device provided by an embodiment of the present application.
  • the first device 900 includes but is not limited to: a radio frequency unit 901, a network module 902, an audio output unit 903, an input unit 904, a sensor 905, a display unit 906, a user input unit 907, an interface unit 908, and a memory 909 and the processor 910 and other components.
  • the first device 900 may also include a power source (such as a battery) for supplying power to various components, and the power source may be logically connected to the processor 910 through a power management system, so as to manage charging, discharging, and Power management and other functions.
  • a power source such as a battery
  • the terminal structure shown in FIG. 9 does not constitute a limitation on the terminal, and the terminal may include more or less components than shown, or combine some components, or arrange different components, which will not be repeated here.
  • the input unit 904 may include a graphics processor (Graphics Processing Unit, GPU) 9041 and a microphone 9042. Such as camera) to obtain still pictures or video image data for processing.
  • the display unit 906 may include a display panel 9061, which may be configured in the form of a liquid crystal display, an organic light emitting diode, or the like.
  • the user input unit 907 includes a touch panel 9071 and other input devices 9072 .
  • the touch panel 9071 is also called a touch screen.
  • the touch panel 9071 may include two parts, a touch detection device and a touch controller.
  • Other input devices 9072 may include, but are not limited to, physical keyboards, function keys (such as volume control keys, switch keys, etc.), trackballs, mice, and joysticks, which will not be repeated here.
  • the radio frequency unit 901 receives the downlink data from the second device, and then processes it to the processor 910; in addition, sends the uplink data to the second device.
  • the radio frequency unit 901 includes, but is not limited to, an antenna, at least one amplifier, a transceiver, a coupler, a low noise amplifier, a duplexer, and the like.
  • Memory 909 may be used to store software programs or instructions as well as various data.
  • the memory 909 may mainly include a storage program or instruction area and a storage data area, wherein the stored program or instruction area may store an operating system, an application program or instruction required for at least one function (such as a sound playback function, an image playback function, etc.) and the like.
  • the memory 909 may include a high-speed random access memory, and may also include a non-volatile memory, wherein the non-volatile memory may be a read-only memory (Read-Only Memory, ROM), a programmable read-only memory (Programmable ROM) , PROM), erasable programmable read-only memory (Erasable PROM, EPROM), electrically erasable programmable read-only memory (Electrically EPROM, EEPROM) or flash memory.
  • ROM Read-Only Memory
  • PROM programmable read-only memory
  • PROM erasable programmable read-only memory
  • Erasable PROM Erasable PROM
  • EPROM electrically erasable programmable read-only memory
  • EEPROM electrically erasable programmable read-only memory
  • flash memory for example at least one magnetic disk storage device, flash memory device, or other non-volatile solid state storage device.
  • the processor 910 may include one or more processing units; optionally, the processor 910 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface, application programs or instructions, etc., Modem processors mainly deal with wireless communications, such as baseband processors. It can be understood that, the above-mentioned modulation and demodulation processor may not be integrated into the processor 910.
  • the radio frequency unit 901 is used to report the first information to the second device
  • the first information includes predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • Channel state information is predicted first channel state information, or second information determined according to the predicted first channel state information, where the first channel state information includes a first time period after the reference time point.
  • the above-mentioned processor 910 and the radio frequency unit 901 can implement each process implemented by the first device in the method embodiment of FIG. 4 , and can achieve the same technical effect.
  • an embodiment of the present application further provides a first device, including a processor 910, a memory 909, a program or instruction stored in the memory 909 and executable on the processor 910, the program or instruction being processed
  • a first device including a processor 910, a memory 909, a program or instruction stored in the memory 909 and executable on the processor 910, the program or instruction being processed
  • the device 910 is executed, each process of the above-mentioned information reporting method embodiments can be achieved, and the same technical effect can be achieved. To avoid repetition, details are not repeated here.
  • FIG. 10 is a structural diagram of a second device provided by an embodiment of the present application.
  • the second device 1000 includes: a processor 1001, a transceiver 1002, a memory 1003, and a bus interface, wherein:
  • the transceiver 1002 is configured to receive first information reported by a first device; wherein the first information includes predicted first channel state information, or second information determined according to the predicted first channel state information, the first A channel state information includes channel state information for a first time period after the reference time point.
  • processor 1001 and transceiver 1002 can implement each process implemented by the second device in the method embodiment of FIG. 6 , and can achieve the same technical effect.
  • the transceiver 1002 is configured to receive and transmit data under the control of the processor 1001, and the transceiver 1002 includes at least two antenna ports.
  • the bus architecture may include any number of interconnected buses and bridges, specifically one or more processors represented by processor 1001 and various circuits of memory represented by memory 1003 linked together.
  • the bus architecture may also link together various other circuits, such as peripherals, voltage regulators, and power management circuits, which are well known in the art and, therefore, will not be described further herein.
  • the bus interface provides the interface.
  • Transceiver 1002 may be a number of elements, including a transmitter and a receiver, that provide a means for communicating with various other devices over a transmission medium.
  • the user interface 1004 may also be an interface capable of externally connecting the required equipment, and the connected equipment includes but is not limited to a keypad, a display, a speaker, a microphone, a joystick, and the like.
  • the processor 1001 is responsible for managing the bus architecture and general processing, and the memory 1003 may store data used by the processor 1001 in performing operations.
  • an embodiment of the present application further provides a second device, including a processor 1001, a memory 1003, a program or instruction stored in the memory 1003 and executable on the processor 1001, the program or instruction being processed
  • a second device including a processor 1001, a memory 1003, a program or instruction stored in the memory 1003 and executable on the processor 1001, the program or instruction being processed
  • the device 1001 is executed, each process of the above-mentioned information reporting method embodiments can be realized, and the same technical effect can be achieved. In order to avoid repetition, details are not repeated here.
  • Embodiments of the present application further provide a readable storage medium, where a program or an instruction is stored on the readable storage medium, and when the program or instruction is executed by a processor, the above-mentioned method for reporting information on the terminal side or information on the second device side is implemented.
  • a process of the reporting method embodiment can achieve the same technical effect, and in order to avoid repetition, it will not be repeated here.
  • the processor is the processor in the electronic device described in the foregoing embodiments.
  • the readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, and the like.
  • An embodiment of the present application further provides a chip, where the chip includes a processor and a communication interface, the communication interface is coupled to the processor, and the processor is used to run a program or an instruction to implement the information on the first device side.
  • the chip includes a processor and a communication interface
  • the communication interface is coupled to the processor
  • the processor is used to run a program or an instruction to implement the information on the first device side.
  • the chip mentioned in the embodiments of the present application may also be referred to as a system-on-chip, a system-on-chip, a system-on-a-chip, or a system-on-a-chip, or the like.
  • the method of the above embodiment can be implemented by means of software plus a necessary general hardware platform, and of course can also be implemented by hardware, but in many cases the former is better implementation.
  • the technical solution of the present application can be embodied in the form of a software product in essence or in a part that contributes to the prior art, and the computer software product is stored in a storage medium (such as ROM/RAM, magnetic disk, CD-ROM), including several instructions to make a terminal (which may be a mobile phone, a computer, a server, an air conditioner, or a base station, etc.) execute the methods described in the various embodiments of this application.
  • a storage medium such as ROM/RAM, magnetic disk, CD-ROM

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Abstract

本申请公开了一种信息上报方法、装置、第一设备及第二设备，属于通信技术领域。该方法包括：向第二设备上报第一信息；其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。

Description

信息上报方法、装置、第一设备及第二设备
相关申请的交叉引用
本申请主张在2021年03月05日在中国提交的中国专利申请No.202110246010.3的优先权，其全部内容通过引用包含于此。
技术领域
本申请属于通信技术领域，尤其涉及一种信息上报方法、装置、第一设备及第二设备。
背景技术
在移动通信系统中，信道状态信息(channel state information,CSI)对信道容量至关重要，尤其对于多天线系统，发送端可以根据CSI优化信号的发送，使其更加匹配信道的状态。目前，CSI上报通常只包含当前的信道状态信息，当用户设备(User Equipment，UE)(也可以称为终端)移动时，该CSI信息往往已经过时，容易造成波束赋形、调制编码等级等方面的不匹配，带来频谱效率的降低。可见，现有技术中存在因发送端移动导致接收端获取的信道状态信息准确性较差的问题。
发明内容
本申请实施例提供一种信息上报方法、装置、第一设备及第二设备，能够解决现有技术中因发送端移动导致接收端获取的信道状态信息准确性较差的问题。
第一方面，本申请实施例提供了一种信息上报方法，由第一设备执行，该方法包括：
向第二设备上报第一信息；
其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
第二方面，本申请实施例还提供了一种信息上报方法，由第二设备执行，该方法包括：
接收第一设备上报的第一信息；
其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
第三方面，本申请实施例提供了一种信息上报装置，该装置包括：
第一上报模块，用于向第二设备上报第一信息；
其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
第四方面，本申请实施例还提供了一种信息上报装置，该装置包括：
第一接收模块，用于接收第一设备上报的第一信息；
其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
第五方面，本申请实施例还提供了一种第一设备，该第一设备包括处理器、存储器及存储在所述存储器上并可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如第一方面所述的方法的步骤。
第六方面，本申请实施例还提供了一种第二设备，该第二设备包括处理器、存储器及存储在所述存储器上并可在所述处理器上运行的程序或指令，所述程序或指令被所述处理器执行时实现如第二方面所述的方法的步骤。
第七方面，本申请实施例还提供了一种可读存储介质，所述可读存储介质上存储程序或指令，所述程序或指令被处理器执行时实现如第一方面所述的方法的步骤，或者实现如第二方面所述的方法的步骤。
第八方面，本申请实施例还提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行第二设备程序或指令，实现如上述第一方面所述的方法，或者实现如上面第二方面所述的方法。
第九方面，提供了一种计算机程序产品，所述计算机程序产品被存储在非易失的存储介质中，所述计算机程序产品被至少一个处理器执行以实现如第一方面所述的方法，或实现如第二方面所述的方法。
在本申请实施例中，通过向第二设备上报第一信息，其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息，能够在第一设备移动的情况下使第二设备获取更为准确的信道信息，减少第一设备移动对通信服务质量的影响。
附图说明
图1是本申请实施例提供的神经网络的示意图；
图2是本申请实施例提供的神经元的示意图；
图3是本申请实施例可应用的一种网络系统的结构图；
图4是本申请实施例提供的一种信息上报方法的流程图；
图5是本申请实施例提供的第一AI网络预测信道状态信息的示意图；
图6是本申请实施例提供的一种信息上报方法的流程图；
图7是本申请实施例提供的一种信息上报装置的结构图；
图8是本申请实施例提供的另一种信息上报装置的结构图；
图9是本申请实施例提供的一种第一设备的结构图；
图10是本申请实施例提供的一种第二设备的结构图。
具体实施方式
下面将结合本申请实施例中的附图，对本申请实施例中的技术方案进行清楚、完整地描述，显然，所描述的实施例是本申请一部分实施例，而不是全部的实施例。基于本申请中的实施例，本领域普通技术人员所获得的所有其他实施例，都属于本申请保护的范围。
本申请的说明书和权利要求书中的术语“第一”、“第二”等是用于区别类似的对象，而不用于描述特定的顺序或先后次序。应该理解这样使用的术语在适当情况下可以互换，以便本申请的实施例能够以除了在这里图示或描 述的那些以外的顺序实施，且“第一”、“第二”所区别的对象通常为一类，并不限定对象的个数，例如第一对象可以是一个，也可以是多个。此外，说明书以及权利要求中“和/或”表示所连接对象的至少其中之一，字符“/”一般表示前后关联对象是一种“或”的关系。
值得指出的是，本申请实施例所描述的技术不限于长期演进型(Long Term Evolution，LTE)/LTE的演进(LTE-Advanced，LTE-A)系统，还可用于其他无线通信系统，诸如码分多址(Code Division Multiple Access，CDMA)、时分多址(Time Division Multiple Access，TDMA)、频分多址(Frequency Division Multiple Access，FDMA)、正交频分多址(Orthogonal Frequency Division Multiple Access，OFDMA)、单载波频分多址(Single-carrier Frequency-Division Multiple Access，SC-FDMA)和其他系统。本申请实施例中的术语“系统”和“网络”常被可互换地使用，所描述的技术既可用于以上提及的系统和无线电技术，也可用于其他系统和无线电技术。然而，以下描述出于示例目的描述了新空口(New Radio，NR)系统，并且在以下大部分描述中使用NR术语，这些技术也可应用于NR系统应用以外的应用，如第6代(6th Generation，6G)通信系统。
为了方便理解，以下对本申请实施例涉及的一些内容进行说明：
一、人工智能
人工智能目前在各个领域获得了广泛的应用。人工智能(Artificial Intelligence，AI)网络有多种实现方式，例如，神经网络、决策树、支持向量机、贝叶斯分类器等。以下以神经网络为例进行说明，但是并不限定AI网络的具体类型。
一个神经网络的示意图可以如图1所示。其中，神经网络由神经元组成，神经元的示意图可以如图2所示。其中，z＝a 1w 1+…+a kw k+…+a Kw K+b，a 1,a 2,…a K为输入，w为权值(乘性系数)，b为偏置(加性系数)，σ(.)为激活函数。常见的激活函数包括Sigmoid、tanh、ReLU(Rectified Linear Unit，修正线性单元)等等。
神经网络的参数通过优化算法进行优化，其中，优化算法可以是一种能够最小化或者最大化目标函数(也可称为损失函数)的一类算法。而目标函 数往往是模型参数和数据的数学组合。例如，给定数据X和其对应的标签Y，构建一个神经网络模型f(.)，构建了神经网络模型后，可以根据输入x就可以得到预测输出f(x)，并且可以计算出预测值和真实值之间的差距(f(x)-Y)，这个就是损失函数。神经网络模型训练的目的就是找到合适的w,b，使上述的损失函数的值达到最小，损失值越小，则说明神经网络模型越接近于真实情况。
目前常见的优化算法，基本都是基于误差反向传播(error Back Propagation，BP)算法。BP算法的基本思想是，学习过程由信号的正向传播与误差的反向传播两个过程组成。正向传播时，输入样本从输入层传入，经各隐层逐层处理后，传向输出层。若输出层的实际输出与期望的输出不符，则转入误差的反向传播阶段。误差反传是将输出误差以某种形式通过隐层向输入层逐层反传，并将误差分摊给各层的所有单元，从而获得各层单元的误差信号，此误差信号即作为修正各单元权值的依据。这种信号正向传播与误差反向传播的各层权值调整过程，是周而复始地进行的。权值不断调整的过程，也就是网络的学习训练过程。此过程一直进行到网络输出的误差减少到可接受的程度，或进行到预先设定的学习次数为止。
常见的优化算法有梯度下降(Gradient Descent)、随机梯度下降(Stochastic Gradient Descent，SGD)、小批量梯度下降(mini-batch Gradient Descent)、动量法(Momentum)、带动量的随机梯度下降(Nesterov)、自适应梯度下降(Adaptive GRADient descent，Adagrad)、Adadelta、均方根误差降速(Root Mean Square prop，RMSprop)、自适应动量估计(Adaptive Moment Estimation，Adam)等。
上述优化算法在误差反向传播时，都是根据损失函数得到的误差/损失，对当前神经元求导数/偏导，加上学习速率、之前的梯度/导数/偏导等影响，得到梯度，将梯度传给上一层。
二、多天线
长期演进(Long Term Evolution，LTE)/增强的长期演进(LTE-Advanced，LTE-A)等无线接入技术标准都是以多输入多输出(Multiple-Input Multiple-Output，MIMO)MIMO和正交频分复用(Orthogonal Frequency Division Multiplexing，OFDM)技术为基础构建起来的。其中，MIMO技术 利用多天线系统所能获得的空间自由度，来提高峰值速率与系统频谱利用率。
在标准化发展过程中MIMO技术的维度不断扩展。在LTE第八版本(Rel-8)中，最多可以支持4层的MIMO传输。在LTE第九版本(Rel-9)中增强多用户MIMO(Multiple-User MIMO，MU-MIMO)技术，传输模式(Transmission Mode，TM)-8的MU-MIMO传输中最多可以支持4个下行数据层。在第十版本(Rel-10)中将单用户MIMO(Single-User MIMO，SU-MIMO)的传输能力扩展至最多8个数据层。
MIMO技术正向着三维化和大规模化的方向推进。目前，第三代合作计划(3rd Generation Partnership Project，3GPP)已经完成了三维(3D)信道建模的研究项目，并且正在开展eFD-MIMO和新空口(New Radio，NR)MIMO的研究和标准化工作。可以预见，在未来的第五代(5th-Generation，5G)移动通信系统中，更大规模、更多天线端口的MIMO技术将被引入。
大规模(Massive)MIMO技术使用大规模天线阵列，能够极大地提升系统频带利用效率，支持更大数量的接入用户。因此各大研究组织均将Massive MIMO技术视为下一代移动通信系统中最有潜力的物理层技术之一。
在Massive MIMO技术中如果采用全数字阵列，可以实现最大化的空间分辨率以及最优MU-MIMO性能，但是这种结构需要大量的AD/DA转换器件以及大量完整的射频-基带处理通道，无论是设备成本还是基带处理复杂度都将是巨大的负担。
为了避免上述的实现成本与设备复杂度，数模混合波束赋形技术应运而生，即在传统的数字域波束赋形基础上，在靠近天线系统的前端，在射频信号上增加一级波束赋形。模拟赋形能够通过较为简单的方式，使发送信号与信道实现较为粗略的匹配。模拟赋形后形成的等效信道的维度小于实际的天线数量，因此其后所需的AD/DA转换器件、数字通道数以及相应的基带处理复杂度都可以大为降低。模拟赋形部分残余的干扰可以在数字域再进行一次处理，从而保证MU-MIMO传输的质量。相对于全数字赋形而言，数模混合波束赋形是性能与复杂度的一种折中方案，在高频段大带宽或天线数量很大的系统中具有较高的实用前景。
三、NR的信道状态信息(Channel State Information，CSI)上报
由信息论可知，准确的信道状态信息对信道容量的至关重要。尤其是对于多天线系统来讲，发送端可以根据CSI优化信号的发送，使其更加匹配信道的状态。目前NR的CSI上报包括：秩指示(Rank Indicator，RI)、信道质量指示(Channel Quality Indicator，CQI)、预编码矩阵指示(Precoding Matrix Indicator，PMI)、层指示(Layer Indicator，LI)，以及波束质量，如层1参考信号接收功率(Layer 1Reference Signal Received Power，L1-RSRP)。其中，CQI可以用来选择合适的调制编码方案(Modulation and Coding Scheme,MCS)实现链路自适应；PMI可以用来实现特征波束成形(Eigen Beamforming)从而最大化接收信号的强度，或者用来抑制干扰(如小区间干扰、多用户之间干扰等)。因此，自从多天线技术(MIMO)被提出以来，CSI获取一直都是研究热点。
如果存在信道互易性，如时分复用(Time Division Duplexing，TDD)系统，终端向网络设备发送探测参考信号(Sounding Reference Signal，SRS)，然后网络设备根据SRS做信道估计，从而获得上行信道的信息。如果不存在信道互易性，如频分复用(Frequency Division Duplexing，FDD)系统，SRS表征的上行信道，无法准确获知下行信道的信息，此时就需要网络设备发送信道状态信息参考信号(CSI Reference Singal，CSI-RS)，终端根据CSI-RS做信道估计，获得下行信道的信息，然后用协议规定的码本，反馈PMI给网络设备，网络设备基于码本和PMI可以恢复出下行信道的信息。
目前的码本分为类型一(Type I)码本和类型二(Type II)码本，其核心思想都是基于过采样的二维离散傅里叶变换波束(oversampled 2D discrete fourier transformation beam，oversampled 2D DFT beam)，通过一定规则构造出码字，通过PMI的比特信息，可以检索到相对应的信道向量或矩阵。
Type I的单面板CSI码本中的预编码矩阵W可以表示为两个矩阵W1和W2的乘积，W1和W2的信息会分别上报。其中W1代表长期的且和频率无关的信道特性，终端对整个上报带宽至汇报一个W1；而W2则试图捕捉短期的且和频率相关的信道特性，终端对每个子带都会上报一个W2，或者不报W2。W1和W2由oversampled 2D DFT beam组成。
Type II与Type I不同的地方在于，Type I最终只上报一个波束(beam)， 而Type II则上报最多4个正交的beam。对每一个beam，以及该beam的两个极化方向，上报的PMI都会提供一个与之对应的幅度值(宽带和子带)和一个相位值(子带)。这样Type II就捕捉了主要的传播路径和相应的幅度与相位，从而提供了更详细的信道信息。当然，Type II的开销一般也大于Type I。
本申请实施例提供的信息上报方法中，第一设备可以为终端，也可以为网络设备，同样的，第二设备可以为终端，也可以为网络设备。为了方便理解，本申请实施例中以第一设备为终端，第二设备为网络设备为例进行说明。
图3示出本申请实施例可应用的一种无线通信系统的框图。无线通信系统包括终端11和网络设备12。其中，终端11也可以称作终端设备或者用户终端(User Equipment，UE)，终端11可以是手机、平板电脑(Tablet Personal Computer)、膝上型电脑(Laptop Computer)或称为笔记本电脑、个人数字助理(Personal Digital Assistant，PDA)、掌上电脑、上网本、超级移动个人计算机(ultra-mobile personal computer，UMPC)、移动上网装置(Mobile Internet Device，MID)、可穿戴式设备(Wearable Device)或车载设备(VUE)、行人终端(PUE)等终端侧设备，可穿戴式设备包括：手环、耳机、眼镜等。需要说明的是，在本申请实施例并不限定终端11的具体类型。
网络设备12可以是基站或核心网，其中，基站可被称为节点B、演进节点B、接入点、基收发机站(Base Transceiver Station，BTS)、无线电基站、无线电收发机、基本服务集(Basic Service Set，BSS)、扩展服务集(Extended Service Set，ESS)、B节点、演进型B节点(eNB)、家用B节点、家用演进型B节点、WLAN接入点、WiFi节点、发送接收点(Transmitting Receiving Point，TRP)或所述领域中其他某个合适的术语，只要达到相同的技术效果，所述基站不限于特定技术词汇，需要说明的是，在本申请实施例中仅以NR系统中的基站为例，但是并不限定基站的具体类型。
下面结合附图，通过具体的实施例及其应用场景对本申请实施例提供的信息上报方法进行详细地说明。
请参见图4，图4是本申请实施例提供的一种信息上报方法的流程图，该方法可以由第一设备执行，如图4所示，包括以下步骤：
步骤401、向第二设备上报第一信息；
其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
本实施例中，上述第一设备可以是终端，也可以是网络设备；上述第二设备可以是终端，也可以是网络设备。例如，第一设备为终端，第二设备为网络设备，或者，第一设备为终端，第二设备为可以与第一设备通信的终端，例如第二设备通过旁链路与第一设备通信，又例如车联网、物联网的场景。
上述参考时间点可以是与当前的信道状态信息相关的时间点，例如，当前的信道状态信息的配置时刻、当前的信道状态信息的发送时刻、当前的信道状态信息的接收时刻、当前的信道状态信息上报的激活时刻、当前的信道状态信息上报的触发时刻、或者当前的信道状态信息的参考信号测量时刻等。上述第一时间段，例如，可以是位于参考时间点之后的K个CSI上报周期、K个RS周期、K个时隙、K个半时隙、K个符号、K个子帧、K个无线帧、K毫秒、K秒或K分等。可以理解的是，上述第一时间段还可以包括位于参考时间点之后的K个其他常见的时间单位，在此不一一列举，其中，K为正整数。
上述第一信道状态信息可以是依据当前时刻的信道状态信息和历史时刻的信道状态信息中的至少一项预测得到的信道状态信息。需要说明的是，上述第一信道状态信息可以包括第一时间段内的一个或多个信道状态信息，例如，第一时间段包括K个时隙，则上述第一信道状态信息可以包括K个时隙中每个时隙的信道状态信息。
上述第二信息可以是第一信道状态信息经目标处理后得到的信息，其中，上述目标处理可以包括但不限于编码处理、压缩处理和合并处理等中的至少一项。
本申请实施例提供的信息上报方法，通过向第二设备上报预测的第一时间段的信道状态信息，也即向第二设备上报未来一段时间的信道状态信息，能够在第一设备移动的情况下使第二设备获取更为准确的信道信息，减少第一设备移动对通信服务质量的影响。
可选地，所述第一信道状态信息可以包括如下至少一项：预编码矩阵指示PMI；信道质量指示CQI；秩指示RI；层指示LI；原始信道信息；信道质量指标值；波束信息；信道的时域稳定性指标值；信道的大尺度参数；信道指示的第一设备位置信息。
可以理解的是，上述第一信道状态信息还可以包括其他常见的信道状态特征信息，在此不一一列举。
本实施例中，上述PMI也可以称为波束赋形信息，可以用来实现特征波束成形。上述原始信道信息可以用于反映原始的信道信息，例如，信道矩阵、信道矩阵经分解后得到的特征信息等。上述信道质量指标值可以包括但不限于信噪比(Signal Noise Ratio，SNR)、信号与干扰加噪声比(Signal to Interference Plus Noise Ratio，SINR)、信号功率、噪声功率和干扰功率等中的至少一项。上述波束信息可以包括但不限于波束的参考信号(Reference Signal，RS)标识、波束质量信息等。上述信道的时域稳定性指标值可以用于反映信道信息的变化情况，例如，一段时间内信道信息的方差、最差值、最优值、变化范围等。上述信道的大尺度参数可以包括但不限于多普勒平移(Doppler shift)、多普勒扩展(Doppler spread)、平均时延(average delay)、时延扩展(delay spread)等。上述信道指示的第一设备位置信息可以是指依据信道信息确定的第一设备的位置信息。
可选地，所述原始信道信息包括如下至少一项：信道矩阵，信道矩阵经目标分解方式分解得到的特征信息。
本实施例中，上述信道矩阵可以包括发送端各天线或收发单元(TX、RU)到接收端各天线或收发单元(TX、RU)的信道信息，包括幅度、相位、时延和多普勒扩展等中的至少一项。
上述信道矩阵经目标分解方式分解得到的特征信息可以包括信道矩阵经目标分解方式分解得到的特征向量、特征矩阵或特征值中的至少一项。例如，上述信道矩阵可以包括信道矩阵经奇异值分解(Singular Value Decomposition,SVD)得到的特征向量(也可以称为奇异向量或SVD向量)或特征值(也可以称为奇异值)。
可选地，所述目标分解方式包括如下至少一种：奇异值分解；三角分解 (Triangular Factorization)；正三角分解(QR Factorization)；Cholesky分解；频谱分解。
需要说明的是，在目标分解方式包括多种的情况下，上述信道矩阵经目标分解方式分解得到的特征信息可以包括上述信道矩阵分别经各个分解方式得到的特征信息，例如，若上述目标分解方式包括奇异值分解和三角分解，则上述信道矩阵经目标分解方式分解得到的特征信息可以包括信道矩阵经奇异值分解得到的特征信息，例如，奇异向量、奇异值等，以及信道矩阵经三角分解得到的特征信息，例如，特征矩阵、特征向量、特征值等。
可选地，所述波束信息可以包括：
波束的参考信号RS标识和在所述第一时间段的各个时间单位的波束质量指标值；
或者
在所述第一时间段的各个时间单位的波束的RS标识和所述RS标识对应的波束质量指标值。
本实施例中，上述时间单位可以包括但不限于CSI上报周期、RS周期、时隙、半时隙、符号、子帧、无线帧、毫秒、秒或分等。上述波束质量指标值可以用于衡量波束质量，例如，可以包括参考信号接收功率(Reference Signal Receiving Power，RSRP)、参考信号接收质量(Reference Signal Receiving Quality，RSRQ)和SINR等。
在一实施方式中，上述第一时间段内波束的参考信号标识(RS ID)不变，而该RS的波束质量可能变化，在该情况下，上述波束信息可以包括该波束的RS ID和在所述第一时间段的各个时间单位的波束质量指标值，例如，若上述第一时间段包括多个时隙，则上述波束信息可以包括波束的RS ID以及上述第一时间段内的各个时隙的波束质量指标值。
在另一实施方式中，上述第一时间段内波束的RS ID和波束质量均可能变化，在该情况下，上述波束信息可以包括在所述第一时间段的各个时间单位的RS ID和该RS ID对应的波束质量指标值，例如，若上述第一时间段包括多个符号，则上述波束信息可以包括在上述第一时间段内的各个符号的波束的RS ID以及该RS ID对应的波束质量指标值。
可选地，所述信道的时域稳定性指标值根据如下至少一项确定：第二时间段内的信道状态信息的方差，第二时间段内的信道状态信息的最差值，第二时间段内的信道状态信息的最优值与第二时间段内的信道状态信息的最差值之差，第二时间段内的信道状态信息的变化范围，第二时间段内的各个信道状态信息的值与第二时间段内的信道状态信息的极限值之差。
本实施例中，上述第二时间段可以为上述第一时间段或者位于上述第一时间段内的时间段。上述第二时间段内的信道状态信息可以包括但不限于第二时间段内的PMI、CQI、RI、LI、信道质量指标值、信道的大尺度参数等中的至少一项。需要说明的是，上述第二时间段内的信道状态信息包括第二时间段内的多个信道状态信息，例如，上述第二时间段内的信道状态信息包括第二时间段内的多个PMI。上述第二时间段内的信道状态信息的极限值可以是指上述第二时间段内的信道状态信息的最优值或者最差值。
例如，上述第二时间段内包括CQI#1至CQI#m，其中，m为大于1的整数，CQI#1至CQI#m中最优值为CQI#2的取值，则可以分别计算CQI#1至CQI#m中各个CQI的取值与CQI#2的取值的差值。又例如，上述第二时间段内包括RI#1至RI#n，其中，n为大于1的整数，RI#1至RI#n中最大值为RI#1的取值x1，最小值为RI#3的取值x2，则RI的变化范围为[x2，x1]。
本实施例中，上述信道的时域稳定性指标值可以包括上述各项指标值中的至少一项，以及上述各项指标值按照预设计算方式计算得到的指标值，其中，上述预设计算方式可以包括但不限于加、减、乘、除、N次方、N次开根号、对数、求导和求偏导等中的至少一项。其中，N可以为任意数，例如，N可以为正数或负数或0，或者N可以为实数或复数等。
可选地，所述第一时间段的开始时间点为如下一项：所述参考时间点，所述参考时间点提前第一时长，所述参考时间点延迟第二时长；
所述第一时间段的结束时间点为如下一项：所述第一时间段的开始时间点之后的K个时间单位，所述第一时间段的开始时间点之后的K个时间单位提前第三时长，所述第一时间段的开始时间点之后的K个时间单位延迟第四时长，其中，K为正整数。
本实施例中，上述第一时长、第二时长、第三时长、第四时长、K的取 值和时间单位的类型等中的至少一项可以由协议预定义，也可以由第二设备配置。
上述参考时间点提前第一时长可以为：上述参考时间点-第一时长。上述所述参考时间点延迟第二时长可以为：上述参考时间点+第二时长。上述第一时间段的开始时间点之后的K个时间单位可以为：上述第一时间段的开始时间点+K个时间单位。上述第一时间段的开始时间点之后的K个时间单位提前第三时长可以为：上述第一时间段的开始时间点-第三时长+K个时间单位。上述第一时间段的开始时间点之后的K个时间单位延迟第四时长可以为：上述第一时间段的开始时间点+K个时间单位+第四时长。
例如，K个时间单位为K个CSI上报周期，开始阶段的延迟为3个时隙，结束阶段的提前为2个时隙，则上述第一时间段的开始时间点可以为：参考时间点+3个时隙，上述第一时间段的结束时间点可以为：参考时间点+3个时隙+K个CSI上报周期-2个时隙。
可选地，所述时间单位包括如下一项：CSI上报周期；RS周期；时隙；半时隙；符号；子帧；无线帧；毫秒；秒；分。
本实施例中，上述RS周期可以是指用于CSI反馈测量的RS的周期。上述符号可以是正交频分复用(Orthogonal Frequency Division Multiplexing，OFDM)符号。
可选地，所述第一时间段的参数由所述第二设备配置；
其中，所述第一时间段的参数包括如下至少一项：所述第一时长；所述第二时长；K的取值；所述时间单位的类型；所述第三时长；所述第四时长。
本实施例中，上述时间单位的类型包括CSI上报周期、RS周期、时隙、半时隙、符号、子帧、无线帧、毫秒、秒和分等。
可选地，所述第一时间段的参数可以由第二设备通过无线资源控制(Radio Resource Control，RRC)、媒体接入控制控制单元(Media Access Control Control Element，MAC CE)、下行控制信息(Downlink control information，DCI)配置或激活。
可选地，所述参考时间点包括如下一项：当前的信道状态信息的配置时刻，当前的信道状态信息的发送时刻，当前的信道状态信息的接收时刻，当 前的信道状态信息上报的激活时刻，当前的信道状态信息上报的触发时刻，当前的信道状态信息的参考信号测量时刻。
本实施例中，对于上述当前的信道状态信息上报的激活时刻或触发时刻，例如，若通过DCI激活或触发当前的信道状态信息的上报，则上述DCI的发送时刻或DCI的接收时刻即为上述当前的信道状态信息上报的激活时刻或触发时刻。
可选地，所述第一信道状态信息依据第二信道状态信息预测得到，所述第二信道状态信息包括如下至少一项：
所述参考时间点的信道状态信息；
所述参考时间点之前的第三时间段的信道状态信息。
本实施例中，上述参考时间点的信道状态信息和所述参考时间点之前的第三时间段的信道状态信息均可以包括PMI、CQI、RI、LI、原始信道信息、信道质量指标值、波束信息、信道的时域稳定性指标值、信道的大尺度参数和信道指示的第一设备位置信息中的至少一项，其中，相关内容的详细说明可以参见前述第一信道状态信息相关说明，在此不做赘述。
上述第三时间段的结束时间点可以为如下一项：所述参考时间点，所述参考时间点提前第五时长，所述参考时间点延迟第六时长；
上述第三时间段的开始时间点为如下一项：所述第三时间段的结束时间点之前的J个时间单位，所述第三时间段的结束时间点之前的J个时间单位提前第七时长，所述第三时间段的结束时间点之前的J个时间单位延迟第八时长，其中，J为正整数。
上述第五时长、第六时长、第七时长、第八时长、J的取值和时间单位的类型等中的至少一项可以由协议预定义，也可以由第二设备配置。其中，时间单位的类型可以包括CSI上报周期、RS周期、时隙、半时隙、符号、子帧、无线帧、毫秒、秒和分等。
本申请实施例根据所述参考时间点的信道状态信息和所述参考时间点之前的第三时间段的信道状态信息中的至少一项预测第一时间段的信道状态信息，可以提高预测得到的信道状态信息的准确性。
可选地，为了进一步提高信道信息预测的准确性，本申请实施例可以根 据第二信道状态信息以及第一设备的移动速度、信道的信噪比或信干噪比、信道宽带特征、信道的时域相关性、信道的频域相关性、信道的时延-多普勒域特征等信道特征信息预测第一时间段的信道状态信息。
可选地，所述第一信道状态信息为将所述第二信道状态信息输入第一AI网络后所述第一AI网络输出的信道状态信息。
本实施例中，上述第一AI网络可以是预先训练得到的用于预测信道状态信息的AI网络，例如，预先训练的用于信道状态信息预测的神经网络。
实际应用中，可以将第二信道状态信息输入第一AI网络，由第一AI网络依据第二信道状态信息输出预测的信道状态信息。例如，如图5所示，由过去4个周期测量周期性参考信号得到的信道信息经过第一AI网络预测下一个参考信号测量周期之前的4个时隙的信道信息，其中，1个参考信号测量周期为5个时隙。
需要说明的是，上述第一AI网络的输入除了上述第二信道状态信息之外，还可以包括第一设备的移动速度、信道的信噪比或信干噪比、信道宽带特征、信道的时域相关性、信道的频域相关性、信道的时延-多普勒域特征等信道特征信息，本实施例对此不做限定。
此外，还需说明的是，上述第一AI网络输出的第一信道状态信息的格式可以根据实际情况进行合理设置，例如，可以为二进制格式。
可选地，所述第二信息为所述第一信道状态信息经目标处理后的信息，所述目标处理包括编码处理和压缩处理中的至少一项。
本实施例中，上述编码处理可以包括但不限于熵编码或哈夫曼编码等。上述压缩处理可以包括但不限于有损压缩或无损压缩等。
例如，若上述第一信道状态信息包括K个时间单位的信道状态信息，也即包括第一个时间单位的信道状态信息、第二个时间单位的信道状态信息直至第K个时间单位的信道状态信息，则可以对上述K个时间单位的信道状态信息进行编码处理和压缩处理后再发送给第二设备，以减少传输数据大小，节省资源开销。
可选地，所述方法还包括：
向所述第二设备上报所述参考时间点的信道状态信息。
本实施例中，第一设备可以向第二设备上报参考时间点的信道状态信息以及预测的第一时间段的信道状态信息，以便于第二设备可以获取到更为丰富的信道状态信息，以更为准确地获知信道状态。
可选地，所述第一信道状态信息包括宽带的信道状态信息和子带的信道状态信息中的至少一项。
可选地，所述子带的划分方式为如下之一：按频域划分，按码域划分，按空域划分，按时延域划分，按多普勒域划分。
本实施例中，上述按频域划分，例如，频域资源按资源块(Resource Block，RB)、物理资源块(Physical Resource Block，PRB)、子带、物理资源组(Physical Resource Group，PRG)或带宽部分(Bandwidth Part，BWP)等方式划分。上述按码域划分，例如，码域资源按正交码、准正交码或半正交码等方式划分。上述按空域划分，例如，空域资源按天线、天线元、天线面板、发送接收单元、波束、层、秩或天线角度等划分。
可选地，所述第一信道状态信息的信息类型与所述参考时间点的信道状态信息的信息类型相同；
或者
所述第一信道状态信息的信息类型根据所述第一设备的能力信息确定；
或者
所述第一信道状态信息的信息类型由所述第二设备配置；
或者
所述第一信道状态信息的信息类型为宽带的信道状态信息；
或者
所述第一信道状态信息的信息类型为子带的信道状态信息；
其中，所述信息类型包括宽带的信道状态信息和子带的信道状态信息。
在一实施方式中，上述第一信道状态信息的信息类型与参考时间点的信道状态信息的信息类型相同，例如，若参考时间点的信道状态信息为宽带的信道状态信息，则上述第一信道状态信息为宽带的信道状态信息；若参考时间点的信道状态信息为子带的信道状态信息，则上述第一信道状态信息为子带的信道状态信息。
在另一实施方式中，上述第一信道状态信息的信息类型根据第一设备的能力信息确定，例如，若第一设备的能力只支持宽带的信道状态信息，则上述第一信道状态信息为宽带的信道状态信息；若第一设备的能力只支持子带的信道状态信息，则上述第一信道状态信息为子带的信道状态信息。
可选地，若第一设备的能力同时支持宽带的信道状态信息和子带的信道状态信息，则上述第一信道状态信息可以为子带的信道状态信息。
可选地，若第一设备的能力同时支持宽带的信道状态信息和子带的信道状态信息，则可以根据其他参数确定上述第一信道状态信息的信息类型，例如，可以根据第二设备发送的配置参数确定上述第一信道状态信息的信息类型。
在另一实施方式中，上述第一信道状态信息的信息类型由所述第二设备配置，例如，若第二设备配置上述第一信道状态信息的信息类型为宽带的信道状态信息，则上述第一信道状态信息为宽带的信道状态信息；若第二设备配置上述第一信道状态信息的信息类型为子带的信道状态信息，则上述第一信道状态信息为子带的信道状态信息。
在另一实施方式中，上述第一信道状态信息的信息类型为宽带的信道状态信息，无论参考时间点的信道状态信息的信息类型为宽带的信道状态信息还是子带的信道状态信息。
在另一实施方式中，上述第一信道状态信息的信息类型为子带的信道状态信息，无论参考时间点的信道状态信息的信息类型为宽带的信道状态信息还是子带的信道状态信息。
可选地，所述向第二设备上报第一信息之前，所述方法还包括：
接收所述第二设备发送的第一指示，其中，所述第一指示用于指示所述第一设备上报预测的信道状态信息。
本实施例中，第一设备可以接收所述第二设备通过RRC、MAC CE或DCI等发送的第一指示，并在接收到上述第一指示的情况下执行上述步骤401。
实际应用中，第二设备可以通过RRC、MAC CE或DCI等激活本申请实施例提供的信息上报方法。可选地，第一设备在接收到第二设备发送的第一指示的情况下，若第一设备支持上报预测的信道状态信息，则执行上述步骤 401。
需要说明的是，本实施例的上述各个实施方式可以根据实际情况进行组合。
请参见图6，图6是本申请实施例提供的另一种信息上报方法的流程图，该方法由第二设备执行，如图6所示，包括以下步骤：
步骤601、接收第一设备上报的第一信息；
其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
本实施例中，上述第一设备可以是终端，也可以是网络设备；上述第二设备可以是终端，也可以是网络设备。例如，第一设备为终端，第二设备为网络设备，或者，第一设备为终端，第二设备为可以与第一设备通信的终端，例如第二设备通过旁链路与第一设备通信。
上述参考时间点可以是与当前的信道状态信息相关的时间点，例如，当前的信道状态信息的配置时刻、当前的信道状态信息的发送时刻、当前的信道状态信息的接收时刻、当前的信道状态信息上报的激活时刻、当前的信道状态信息上报的触发时刻、或者当前的信道状态信息的参考信号测量时刻等。上述第一时间段，例如，可以是位于参考时间点之后的K个CSI上报周期、K个RS周期、K个时隙、K个半时隙、K个符号、K个子帧、K个无线帧、K毫秒、K秒或K分等，其中，K为正整数。
上述第一信道状态信息可以是依据当前时刻的信道状态信息和历史时刻的信道状态信息中的至少一项预测得到的信道状态信息。需要说明的是，上述第一信道状态信息可以包括第一时间段内的一个或多个信道状态信息，例如，第一时间段包括K个时隙，则上述第一信道状态信息可以包括K个时隙中每个时隙的信道状态信息。
上述第二信息可以是第一信道状态信息经目标处理后得到的信息，其中，上述目标处理可以包括但不限于编码处理、压缩处理和合并处理等中的至少一项。
实际应用中，第二设备接收第一信息之后，可以依据第一信息确定期望 的信道状态信息，也可以依据第一信息和参考时间点的信道状态信息确定期望的信道状态信息。需要说明的是，上述期望的信道状态信息的类型和第一信息的类型可以相同，例如，第一信息的信息类型为预测的第一时间段的CQI，上述期望的信道状态信息也可以为CQI；上述期望的信道状态信息的类型和第一信息的类型也可以不相同，例如，第一信息为预测的第一时间段的CQI，上述期望的信道状态信息可以为信道矩阵。
本申请实施例提供的信息上报方法，通过接收第一设备上报的预测的第一时间段的信道状态信息，也即接收第一设备上报的未来一段时间的信道状态信息，能够在第一设备移动的情况下使第二设备获取更为准确的信道信息，减少第一设备移动对通信服务质量的影响。
可选地，所述第一信道状态信息包括如下至少一项：预编码矩阵指示PMI；信道质量指示CQI；秩指示RI；层指示LI；原始信道信息；信道质量指标值；波束信息；信道的时域稳定性指标值；信道的大尺度参数；信道指示的第一设备位置信息。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述原始信道信息包括如下至少一项：信道矩阵，信道矩阵经目标分解方式分解得到的特征信息。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述目标分解方式包括如下至少一种：奇异值分解；三角分解；正三角分解；Cholesky分解；频谱分解。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述波束信息包括：
波束的参考信号RS标识和在所述第一时间段的各个时间单位的波束质量指标值；
或者
在所述第一时间段的各个时间单位的波束的RS标识和所述RS标识对 应的波束质量指标值。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述信道的时域稳定性指标值根据如下至少一项确定：第二时间段内的信道状态信息的方差，第二时间段内的信道状态信息的最差值，第二时间段内的信道状态信息的最优值与第二时间段内的信道状态信息的最差值之差，第二时间段内的信道状态信息的变化范围，第二时间段内的各个信道状态信息的值与第二时间段内的信道状态信息的极限值之差。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述第一时间段的开始时间点为如下一项：所述参考时间点，所述参考时间点提前第一时长，所述参考时间点延迟第二时长；
所述第一时间段的结束时间点为如下一项：所述第一时间段的开始时间点之后的K个时间单位，所述第一时间段的开始时间点之后的K个时间单位提前第三时长，所述第一时间段的开始时间点之后的K个时间单位延迟第四时长，其中，K为正整数。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述时间单位包括如下一项：CSI上报周期；RS周期；时隙；半时隙；符号；子帧；无线帧；毫秒；秒；分。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述第一时间段的参数由所述第二设备配置；
其中，所述第一时间段的参数包括如下至少一项：所述第一时长；所述第二时长；K的取值；所述时间单位的类型；所述第三时长；所述第四时长。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述参考时间点包括如下一项：当前的信道状态信息的配置时刻，当前的信道状态信息的发送时刻，当前的信道状态信息的接收时刻，当 前的信道状态信息上报的激活时刻，当前的信道状态信息上报的触发时刻，当前的信道状态信息的参考信号测量时刻。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述第一信道状态信息依据第二信道状态信息预测得到，所述第二信道状态信息包括如下至少一项：
所述参考时间点的信道状态信息；
所述参考时间点之前的第三时间段的信道状态信息。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述第一信道状态信息为将所述第二信道状态信息输入第一AI网络后所述第一AI网络输出的信道状态信息。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
需要说明的是，第二设备接收到第一AI网络输出的信道状态信息(即第一信道状态信息)后，可以将第一信道状态信息输入第二AI网络，以获取期望的信道状态信息。其中，上述第二AI网络与第一AI网络可以是联合训练得到的两个AI网络，其中，上述第一AI网络用于编码过程，第二AI网络用于解码过程。
可选地，所述第二信息为所述第一信道状态信息经目标处理后的信息，所述目标处理包括编码处理和压缩处理中的至少一项。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述方法还包括：
接收所述第一设备上报的所述参考时间点的信道状态信息。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述第一信道状态信息包括宽带的信道状态信息和子带的信道状态信息中的至少一项。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述子带的划分方式为如下之一：按频域划分，按码域划分，按空域划分，按时延域划分，按多普勒域划分。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述第一信道状态信息的信息类型与所述参考时间点的信道状态信息的信息类型相同；
或者
所述第一信道状态信息的信息类型根据所述第一设备的能力信息确定；
或者
所述第一信道状态信息的信息类型由所述第二设备配置；
或者
所述第一信道状态信息的信息类型为宽带的信道状态信息；
或者
所述第一信道状态信息的信息类型为子带的信道状态信息；
其中，所述信息类型包括宽带的信道状态信息和子带的信道状态信息。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
可选地，所述方法还包括：
根据所述第一信息确定期望的信道状态信息；
或者
根据所述第一信息和所述参考时间点的信道状态信息确定期望的信道状态信息。
在一实施方式中，第二设备可以直接依据第一信息确定期望的信道状态信息，也即直接依据预测的第一时间段的信道状态信息恢复期望的信道状态信息。例如，若第一信息为第一AI网络输出的信道状态信息，第二设备可以将其输入匹配的第二AI网络，得到期望的信道状态信息。
在另一实施方式中，第二设备可以基于第一信息和参考时间点的信道状 态信息确定期望的信道状态信息，也即依据预测的第一时间段的信道状态信息和参考时间点的信道状态信息确定期望的信道状态信息，以提高所获得的信道状态信息的准确性。例如，若第一信息为第一AI网络输出的信道状态信息，第二设备可以将第一AI网络输出的信道状态信息以及参考时间点的信道状态信息一起输入匹配的第二AI网络，得到期望的信道状态信息。
可选地，所述接收第一设备上报的第一信息之前，所述方法还包括：
向所述第一设备发送第一指示，其中，所述第一指示用于指示所述第一设备上报预测的信道状态信息。
该实施方式的实现方式可以参见图4所示的实施例的相关说明，此处不作赘述。
需要说明的是，本实施例作为图4所示的实施例对应的第二设备的实施方式，其具体的实施方式可以参见图4所示的实施例相关说明，以及达到相同的有益效果，为了避免重复说明，此处不再赘述。
需要说明的是，本实施例的上述各个实施方式可以根据实际情况进行组合。
请参见图7，图7是本申请实施例提供的一种信息上报装置的结构图，如图7所示，信息上报装置700包括：
第一上报模块701，用于向第二设备上报第一信息；
其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
可选地，所述第一信道状态信息包括如下至少一项：预编码矩阵指示PMI；信道质量指示CQI；秩指示RI；层指示LI；原始信道信息；信道质量指标值；波束信息；信道的时域稳定性指标值；信道的大尺度参数；信道指示的第一设备位置信息。
可选地，所述原始信道信息包括如下至少一项：信道矩阵，信道矩阵经目标分解方式分解得到的特征信息。
可选地，所述目标分解方式包括如下至少一种：奇异值分解；三角分解；正三角分解；Cholesky分解；频谱分解。
可选地，所述波束信息包括：
波束的参考信号RS标识和在所述第一时间段的各个时间单位的波束质量指标值；
或者
在所述第一时间段的各个时间单位的波束的RS标识和所述RS标识对应的波束质量指标值。
可选地，所述信道的时域稳定性指标值根据如下至少一项确定：第二时间段内的信道状态信息的方差，第二时间段内的信道状态信息的最差值，第二时间段内的信道状态信息的最优值与第二时间段内的信道状态信息的最差值之差，第二时间段内的信道状态信息的变化范围，第二时间段内的各个信道状态信息的值与第二时间段内的信道状态信息的极限值之差。
可选地，所述第一时间段的开始时间点为如下一项：所述参考时间点，所述参考时间点提前第一时长，所述参考时间点延迟第二时长；
所述第一时间段的结束时间点为如下一项：所述第一时间段的开始时间点之后的K个时间单位，所述第一时间段的开始时间点之后的K个时间单位提前第三时长，所述第一时间段的开始时间点之后的K个时间单位延迟第四时长，其中，K为正整数。
可选地，所述时间单位包括如下一项：CSI上报周期；RS周期；时隙；半时隙；符号；子帧；无线帧；毫秒；秒；分。
可选地，所述第一时间段的参数由所述第二设备配置；
其中，所述第一时间段的参数包括如下至少一项：所述第一时长；所述第二时长；K的取值；所述时间单位的类型；所述第三时长；所述第四时长。
可选地，所述参考时间点包括如下一项：当前的信道状态信息的配置时刻，当前的信道状态信息的发送时刻，当前的信道状态信息的接收时刻，当前的信道状态信息上报的激活时刻，当前的信道状态信息上报的触发时刻，当前的信道状态信息的参考信号测量时刻。
可选地，所述第一信道状态信息依据第二信道状态信息预测得到，所述第二信道状态信息包括如下至少一项：
所述参考时间点的信道状态信息；
所述参考时间点之前的第三时间段的信道状态信息。
可选地，所述第一信道状态信息为将所述第二信道状态信息输入第一AI网络后所述第一AI网络输出的信道状态信息。
可选地，所述第二信息为所述第一信道状态信息经目标处理后的信息，所述目标处理包括编码处理和压缩处理中的至少一项。
可选地，所述装置还包括：
第二上报模块，用于向所述第二设备上报所述参考时间点的信道状态信息。
可选地，所述第一信道状态信息包括宽带的信道状态信息和子带的信道状态信息中的至少一项。
可选地，所述子带的划分方式为如下之一：按频域划分，按码域划分，按空域划分，按时延域划分，按多普勒域划分。
可选地，所述第一信道状态信息的信息类型与所述参考时间点的信道状态信息的信息类型相同；
或者
所述第一信道状态信息的信息类型根据第一设备的能力信息确定；
或者
所述第一信道状态信息的信息类型由所述第二设备配置；
或者
所述第一信道状态信息的信息类型为宽带的信道状态信息；
或者
所述第一信道状态信息的信息类型为子带的信道状态信息；
其中，所述信息类型包括宽带的信道状态信息和子带的信道状态信息。
可选地，所述装置还包括：
接收模块，用于所述向第二设备上报第一信息之前，接收所述第二设备发送的第一指示，其中，所述第一指示用于指示第一设备上报预测的信道状态信息。
本申请实施例提供的信息上报装置能够实现图4的方法实施例中各个过程，为避免重复，这里不再赘述。
需要说明的是，本申请实施例中的信息上报装置可以是装置，也可以是第一设备中的部件、集成电路、或芯片。
请参见图8，图8是本申请实施例提供的另一种信息上报装置的结构图，如图8所示，信息上报装置800包括：
第一接收模块801，用于接收第一设备上报的第一信息；
其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
可选地，所述第一信道状态信息包括如下至少一项：预编码矩阵指示PMI；信道质量指示CQI；秩指示RI；层指示LI；原始信道信息；信道质量指标值；波束信息；信道的时域稳定性指标值；信道的大尺度参数；信道指示的第一设备位置信息。
可选地，所述原始信道信息包括如下至少一项：信道矩阵，信道矩阵经目标分解方式分解得到的特征信息。
可选地，所述目标分解方式包括如下至少一种：奇异值分解；三角分解；正三角分解；Cholesky分解；频谱分解。
可选地，所述波束信息包括：
波束的参考信号RS标识和在所述第一时间段的各个时间单位的波束质量指标值；
或者
在所述第一时间段的各个时间单位的波束的RS标识和所述RS标识对应的波束质量指标值。
可选地，所述信道的时域稳定性指标值根据如下至少一项确定：第二时间段内的信道状态信息的方差，第二时间段内的信道状态信息的最差值，第二时间段内的信道状态信息的最优值与第二时间段内的信道状态信息的最差值之差，第二时间段内的信道状态信息的变化范围，第二时间段内的各个信道状态信息的值与第二时间段内的信道状态信息的极限值之差。
可选地，所述第一时间段的开始时间点为如下一项：所述参考时间点，所述参考时间点提前第一时长，所述参考时间点延迟第二时长；
所述第一时间段的结束时间点为如下一项：所述第一时间段的开始时间点之后的K个时间单位，所述第一时间段的开始时间点之后的K个时间单位提前第三时长，所述第一时间段的开始时间点之后的K个时间单位延迟第四时长，其中，K为正整数。
可选地，所述时间单位包括如下一项：CSI上报周期；RS周期；时隙；半时隙；符号；子帧；无线帧；毫秒；秒；分。
可选地，所述第一时间段的参数由所述第二设备配置；
其中，所述第一时间段的参数包括如下至少一项：所述第一时长；所述第二时长；K的取值；所述时间单位的类型；所述第三时长；所述第四时长。
可选地，所述参考时间点包括如下一项：当前的信道状态信息的配置时刻，当前的信道状态信息的发送时刻，当前的信道状态信息的接收时刻，当前的信道状态信息上报的激活时刻，当前的信道状态信息上报的触发时刻，当前的信道状态信息的参考信号测量时刻。
可选地，所述第一信道状态信息依据第二信道状态信息预测得到，所述第二信道状态信息包括如下至少一项：
所述参考时间点的信道状态信息；
所述参考时间点之前的第三时间段的信道状态信息。
可选地，所述第一信道状态信息为将所述第二信道状态信息输入第一AI网络后所述第一AI网络输出的信道状态信息。
可选地，所述第二信息为所述第一信道状态信息经目标处理后的信息，所述目标处理包括编码处理和压缩处理中的至少一项。
可选地，所述装置还包括：
第二接收模块，用于接收所述第一设备上报的所述参考时间点的信道状态信息。
可选地，所述第一信道状态信息包括宽带的信道状态信息和子带的信道状态信息中的至少一项。
可选地，所述子带的划分方式为如下之一：按频域划分，按码域划分，按空域划分，按时延域划分，按多普勒域划分。
可选地，所述第一信道状态信息的信息类型与所述参考时间点的信道状 态信息的信息类型相同；
或者
所述第一信道状态信息的信息类型根据所述第一设备的能力信息确定；
或者
所述第一信道状态信息的信息类型由第二设备配置；
或者
所述第一信道状态信息的信息类型为宽带的信道状态信息；
或者
所述第一信道状态信息的信息类型为子带的信道状态信息；
其中，所述信息类型包括宽带的信道状态信息和子带的信道状态信息。
可选地，所述装置还包括：
第一确定模块，用于根据所述第一信息确定期望的信道状态信息；
或者
第二确定模块，用于根据所述第一信息和所述参考时间点的信道状态信息确定期望的信道状态信息。
可选地，所述装置还包括：
发送模块，用于所述接收第一设备上报的第一信息之前，向所述第一设备发送第一指示，其中，所述第一指示用于指示所述第一设备上报预测的信道状态信息。
本申请实施例提供的信息上报装置能够实现图6的方法实施例中各个过程，为避免重复，这里不再赘述。
需要说明的是，本申请实施例中的信息上报装置可以是装置，也可以是第二设备中的部件、集成电路、或芯片。
请参见图9，图9是本申请实施例提供的一种第一设备的结构图。如图9所示，该第一设备900包括但不限于：射频单元901、网络模块902、音频输出单元903、输入单元904、传感器905、显示单元906、用户输入单元907、接口单元908、存储器909以及处理器910等部件。
本领域技术人员可以理解，第一设备900还可以包括给各个部件供电的电源(比如电池)，电源可以通过电源管理系统与处理器910逻辑相连，从而 通过电源管理系统实现管理充电、放电、以及功耗管理等功能。图9中示出的终端结构并不构成对终端的限定，终端可以包括比图示更多或更少的部件，或者组合某些部件，或者不同的部件布置，在此不再赘述。
应理解的是，本申请实施例中，输入单元904可以包括图形处理器(Graphics Processing Unit，GPU)9041和麦克风9042，图形处理器9041对在视频捕获模式或图像捕获模式中由图像捕获装置(如摄像头)获得的静态图片或视频的图像数据进行处理。显示单元906可包括显示面板9061，可以采用液晶显示器、有机发光二极管等形式来配置显示面板9061。用户输入单元907包括触控面板9071以及其他输入设备9072。触控面板9071，也称为触摸屏。触控面板9071可包括触摸检测装置和触摸控制器两个部分。其他输入设备9072可以包括但不限于物理键盘、功能键(比如音量控制按键、开关按键等)、轨迹球、鼠标、操作杆，在此不再赘述。
本申请实施例中，射频单元901将来自第二设备的下行数据接收后，给处理器910处理；另外，将上行的数据发送给第二设备。通常，射频单元901包括但不限于天线、至少一个放大器、收发信机、耦合器、低噪声放大器、双工器等。
存储器909可用于存储软件程序或指令以及各种数据。存储器909可主要包括存储程序或指令区和存储数据区，其中，存储程序或指令区可存储操作系统、至少一个功能所需的应用程序或指令(比如声音播放功能、图像播放功能等)等。此外，存储器909可以包括高速随机存取存储器，还可以包括非易失性存储器，其中，非易失性存储器可以是只读存储器(Read-Only Memory，ROM)、可编程只读存储器(Programmable ROM，PROM)、可擦除可编程只读存储器(Erasable PROM，EPROM)、电可擦除可编程只读存储器(Electrically EPROM，EEPROM)或闪存。例如至少一个磁盘存储器件、闪存器件、或其他非易失性固态存储器件。
处理器910可包括一个或多个处理单元；可选的，处理器910可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序或指令等，调制解调处理器主要处理无线通信，如基带处理器。可以理解的是，上述调制解调处理器也可以不集成到处理器910中。
其中，射频单元901，用于向第二设备上报第一信息；
其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
应理解，本实施例中，上述处理器910和射频单元901能够实现图4的方法实施例中第一设备实现的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
可选地，本申请实施例还提供一种第一设备，包括处理器910，存储器909，存储在存储器909上并可在所述处理器910上运行的程序或指令，该程序或指令被处理器910执行时实现上述信息上报方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
请参见图10，图10是本申请实施例提供的一种第二设备的结构图，该第二设备1000包括：处理器1001、收发机1002、存储器1003和总线接口，其中：
收发机1002，用于接收第一设备上报的第一信息；其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
应理解，本实施例中，上述处理器1001和收发机1002能够实现图6的方法实施例中第二设备实现的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
需要说明的是，收发机1002，用于在处理器1001的控制下接收和发送数据，所述收发机1002包括至少两个天线端口。
在图10中，总线架构可以包括任意数量的互联的总线和桥，具体由处理器1001代表的一个或多个处理器和存储器1003代表的存储器的各种电路链接在一起。总线架构还可以将诸如外围设备、稳压器和功率管理电路等之类的各种其他电路链接在一起，这些都是本领域所公知的，因此，本文不再对其进行进一步描述。总线接口提供接口。收发机1002可以是多个元件，即包括发送机和接收机，提供用于在传输介质上与各种其他装置通信的单元。针 对不同的用户设备，用户接口1004还可以是能够外接内接需要设备的接口，连接的设备包括但不限于小键盘、显示器、扬声器、麦克风、操纵杆等。
处理器1001负责管理总线架构和通常的处理，存储器1003可以存储处理器1001在执行操作时所使用的数据。
可选地，本申请实施例还提供一种第二设备，包括处理器1001，存储器1003，存储在存储器1003上并可在所述处理器1001上运行的程序或者指令，该程序或者指令被处理器1001执行时实现上述信息上报方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
本申请实施例还提供一种可读存储介质，所述可读存储介质上存储有程序或指令，该程序或指令被处理器执行时实现上述终端侧的信息上报方法或者第二设备侧的信息上报方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
其中，所述处理器为上述实施例中所述的电子设备中的处理器。所述可读存储介质，包括计算机可读存储介质，如计算机只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等。
本申请实施例另提供了一种芯片，所述芯片包括处理器和通信接口，所述通信接口和所述处理器耦合，所述处理器用于运行程序或指令，实现上述第一设备侧的信息上报方法或者第二设备侧的信息上报方法实施例的各个过程，且能达到相同的技术效果，为避免重复，这里不再赘述。
应理解，本申请实施例提到的芯片还可以称为系统级芯片、系统芯片、芯片系统或片上系统芯片等。
需要说明的是，在本文中，术语“包括”、“包含”或者其任何其他变体意在涵盖非排他性的包含，从而使得包括一系列要素的过程、方法、物品或者装置不仅包括那些要素，而且还包括没有明确列出的其他要素，或者是还包括为这种过程、方法、物品或者装置所固有的要素。在没有更多限制的情况下，由语句“包括一个……”限定的要素，并不排除在包括该要素的过程、方法、物品或者装置中还存在另外的相同要素。此外，需要指出的是，本申请实施方式中的方法和装置的范围不限按示出或讨论的顺序来执行功能，还可 包括根据所涉及的功能按基本同时的方式或按相反的顺序来执行功能，例如，可以按不同于所描述的次序来执行所描述的方法，并且还可以添加、省去、或组合各种步骤。另外，参照某些示例所描述的特征可在其他示例中被组合。
通过以上的实施方式的描述，本领域的技术人员可以清楚地了解到上述实施例方法可借助软件加必需的通用硬件平台的方式来实现，当然也可以通过硬件，但很多情况下前者是更佳的实施方式。基于这样的理解，本申请的技术方案本质上或者说对现有技术做出贡献的部分可以以软件产品的形式体现出来，该计算机软件产品存储在一个存储介质(如ROM/RAM、磁碟、光盘)中，包括若干指令用以使得一台终端(可以是手机，计算机，服务器，空调器，或者基站等)执行本申请各个实施例所述的方法。
上面结合附图对本申请的实施例进行了描述，但是本申请并不局限于上述的具体实施方式，上述的具体实施方式仅仅是示意性的，而不是限制性的，本领域的普通技术人员在本申请的启示下，在不脱离本申请宗旨和权利要求所保护的范围情况下，还可做出很多形式，均属于本申请的保护之内。

Claims (48)

  1. 一种信息上报方法，由第一设备执行，所述方法包括：
    向第二设备上报第一信息；
    其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
  2. 根据权利要求1所述的方法，其中，所述第一信道状态信息包括如下至少一项：预编码矩阵指示PMI；信道质量指示CQI；秩指示RI；层指示LI；原始信道信息；信道质量指标值；波束信息；信道的时域稳定性指标值；信道的大尺度参数；信道指示的第一设备位置信息。
  3. 根据权利要求2所述的方法，其中，所述原始信道信息包括如下至少一项：信道矩阵，信道矩阵经目标分解方式分解得到的特征信息。
  4. 根据权利要求3所述的方法，其中，所述目标分解方式包括如下至少一种：奇异值分解；三角分解；正三角分解；Cholesky分解；频谱分解。
  5. 根据权利要求2所述的方法，其中，所述波束信息包括：
    波束的参考信号RS标识和在所述第一时间段的各个时间单位的波束质量指标值；
    或者
    在所述第一时间段的各个时间单位的波束的RS标识和所述RS标识对应的波束质量指标值。
  6. 根据权利要求2所述的方法，其中，所述信道的时域稳定性指标值根据如下至少一项确定：第二时间段内的信道状态信息的方差，第二时间段内的信道状态信息的最差值，第二时间段内的信道状态信息的最优值与第二时间段内的信道状态信息的最差值之差，第二时间段内的信道状态信息的变化范围，第二时间段内的各个信道状态信息的值与第二时间段内的信道状态信息的极限值之差。
  7. 根据权利要求1所述的方法，其中，所述第一时间段的开始时间点为如下一项：所述参考时间点，所述参考时间点提前第一时长，所述参考时间 点延迟第二时长；
    所述第一时间段的结束时间点为如下一项：所述第一时间段的开始时间点之后的K个时间单位，所述第一时间段的开始时间点之后的K个时间单位提前第三时长，所述第一时间段的开始时间点之后的K个时间单位延迟第四时长，其中，K为正整数。
  8. 根据权利要求7所述的方法，其中，所述时间单位包括如下一项：CSI上报周期；RS周期；时隙；半时隙；符号；子帧；无线帧；毫秒；秒；分。
  9. 根据权利要求7所述的方法，其中，所述第一时间段的参数由所述第二设备配置；
    其中，所述第一时间段的参数包括如下至少一项：所述第一时长；所述第二时长；K的取值；所述时间单位的类型；所述第三时长；所述第四时长。
  10. 根据权利要求1所述的方法，其中，所述参考时间点包括如下一项：当前的信道状态信息的配置时刻，当前的信道状态信息的发送时刻，当前的信道状态信息的接收时刻，当前的信道状态信息上报的激活时刻，当前的信道状态信息上报的触发时刻，当前的信道状态信息的参考信号测量时刻。
  11. 根据权利要求1所述的方法，其中，所述第一信道状态信息依据第二信道状态信息预测得到，所述第二信道状态信息包括如下至少一项：
    所述参考时间点的信道状态信息；
    所述参考时间点之前的第三时间段的信道状态信息。
  12. 根据权利要求11所述的方法，其中，所述第一信道状态信息为将所述第二信道状态信息输入第一AI网络后所述第一AI网络输出的信道状态信息。
  13. 根据权利要求1所述的方法，其中，所述第二信息为所述第一信道状态信息经目标处理后的信息，所述目标处理包括编码处理和压缩处理中的至少一项。
  14. 根据权利要求1所述的方法，其中，所述方法还包括：
    向所述第二设备上报所述参考时间点的信道状态信息。
  15. 根据权利要求1所述的方法，其中，所述第一信道状态信息包括宽带的信道状态信息和子带的信道状态信息中的至少一项。
  16. 根据权利要求15所述的方法，其中，所述子带的划分方式为如下之一：按频域划分，按码域划分，按空域划分，按时延域划分，按多普勒域划分。
  17. 根据权利要求1所述的方法，其中，所述第一信道状态信息的信息类型与所述参考时间点的信道状态信息的信息类型相同；
    或者
    所述第一信道状态信息的信息类型根据所述第一设备的能力信息确定；
    或者
    所述第一信道状态信息的信息类型由所述第二设备配置；
    或者
    所述第一信道状态信息的信息类型为宽带的信道状态信息；
    或者
    所述第一信道状态信息的信息类型为子带的信道状态信息；
    其中，所述信息类型包括宽带的信道状态信息和子带的信道状态信息。
  18. 根据权利要求1所述的方法，其中，所述向第二设备上报第一信息之前，所述方法还包括：
    接收所述第二设备发送的第一指示，其中，所述第一指示用于指示所述第一设备上报预测的信道状态信息。
  19. 一种信息上报方法，由第二设备执行，所述方法包括：
    接收第一设备上报的第一信息；
    其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
  20. 根据权利要求19所述的方法，其中，所述第一信道状态信息包括如下至少一项：预编码矩阵指示PMI；信道质量指示CQI；秩指示RI；层指示LI；原始信道信息；信道质量指标值；波束信息；信道的时域稳定性指标值；信道的大尺度参数；信道指示的第一设备位置信息。
  21. 根据权利要求20所述的方法，其中，所述原始信道信息包括如下至少一项：信道矩阵，信道矩阵经目标分解方式分解得到的特征信息。
  22. 根据权利要求21所述的方法，其中，所述目标分解方式包括如下至少一种：奇异值分解；三角分解；正三角分解；Cholesky分解；频谱分解。
  23. 根据权利要求20所述的方法，其中，所述波束信息包括：
    波束的参考信号RS标识和在所述第一时间段的各个时间单位的波束质量指标值；
    或者
    在所述第一时间段的各个时间单位的波束的RS标识和所述RS标识对应的波束质量指标值。
  24. 根据权利要求20所述的方法，其中，所述信道的时域稳定性指标值根据如下至少一项确定：第二时间段内的信道状态信息的方差，第二时间段内的信道状态信息的最差值，第二时间段内的信道状态信息的最优值与第二时间段内的信道状态信息的最差值之差，第二时间段内的信道状态信息的变化范围，第二时间段内的各个信道状态信息的值与第二时间段内的信道状态信息的极限值之差。
  25. 根据权利要求19所述的方法，其中，所述第一时间段的开始时间点为如下一项：所述参考时间点，所述参考时间点提前第一时长，所述参考时间点延迟第二时长；
    所述第一时间段的结束时间点为如下一项：所述第一时间段的开始时间点之后的K个时间单位，所述第一时间段的开始时间点之后的K个时间单位提前第三时长，所述第一时间段的开始时间点之后的K个时间单位延迟第四时长，其中，K为正整数。
  26. 根据权利要求25所述的方法，其中，所述时间单位包括如下一项：CSI上报周期；RS周期；时隙；半时隙；符号；子帧；无线帧；毫秒；秒；分。
  27. 根据权利要求25所述的方法，其中，所述第一时间段的参数由所述第二设备配置；
    其中，所述第一时间段的参数包括如下至少一项：所述第一时长；所述第二时长；K的取值；所述时间单位的类型；所述第三时长；所述第四时长。
  28. 根据权利要求19所述的方法，其中，所述参考时间点包括如下一项： 当前的信道状态信息的配置时刻，当前的信道状态信息的发送时刻，当前的信道状态信息的接收时刻，当前的信道状态信息上报的激活时刻，当前的信道状态信息上报的触发时刻，当前的信道状态信息的参考信号测量时刻。
  29. 根据权利要求19所述的方法，其中，所述第一信道状态信息依据第二信道状态信息预测得到，所述第二信道状态信息包括如下至少一项：
    所述参考时间点的信道状态信息；
    所述参考时间点之前的第三时间段的信道状态信息。
  30. 根据权利要求29所述的方法，其中，所述第一信道状态信息为将所述第二信道状态信息输入第一AI网络后所述第一AI网络输出的信道状态信息。
  31. 根据权利要求19所述的方法，其中，所述第二信息为所述第一信道状态信息经目标处理后的信息，所述目标处理包括编码处理和压缩处理中的至少一项。
  32. 根据权利要求19所述的方法，其中，所述方法还包括：
    接收所述第一设备上报的所述参考时间点的信道状态信息。
  33. 根据权利要求19所述的方法，其中，所述第一信道状态信息包括宽带的信道状态信息和子带的信道状态信息中的至少一项。
  34. 根据权利要求33所述的方法，其中，所述子带的划分方式为如下之一：按频域划分，按码域划分，按空域划分，按时延域划分，按多普勒域划分。
  35. 根据权利要求19所述的方法，其中，所述第一信道状态信息的信息类型与所述参考时间点的信道状态信息的信息类型相同；
    或者
    所述第一信道状态信息的信息类型根据所述第一设备的能力信息确定；
    或者
    所述第一信道状态信息的信息类型由所述第二设备配置；
    或者
    所述第一信道状态信息的信息类型为宽带的信道状态信息；
    或者
    所述第一信道状态信息的信息类型为子带的信道状态信息；
    其中，所述信息类型包括宽带的信道状态信息和子带的信道状态信息。
  36. 根据权利要求19所述的方法，其中，所述方法还包括：
    根据所述第一信息确定期望的信道状态信息；
    或者
    根据所述第一信息和所述参考时间点的信道状态信息确定期望的信道状态信息。
  37. 根据权利要求19所述的方法，其中，所述接收第一设备上报的第一信息之前，所述方法还包括：
    向所述第一设备发送第一指示，其中，所述第一指示用于指示所述第一设备上报预测的信道状态信息。
  38. 一种信息上报装置，所述装置包括：
    第一上报模块，用于向第二设备上报第一信息；
    其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
  39. 根据权利要求38所述的装置，其中，所述第一时间段的开始时间点为如下一项：所述参考时间点，所述参考时间点提前第一时长，所述参考时间点延迟第二时长；
    所述第一时间段的结束时间点为如下一项：所述第一时间段的开始时间点之后的K个时间单位，所述第一时间段的开始时间点之后的K个时间单位提前第三时长，所述第一时间段的开始时间点之后的K个时间单位延迟第四时长，其中，K为正整数。
  40. 根据权利要求38所述的装置，其中，所述参考时间点包括如下一项：当前的信道状态信息的配置时刻，当前的信道状态信息的发送时刻，当前的信道状态信息的接收时刻，当前的信道状态信息上报的激活时刻，当前的信道状态信息上报的触发时刻，当前的信道状态信息的参考信号测量时刻。
  41. 根据权利要求38所述的装置，其中，所述第一信道状态信息依据第二信道状态信息预测得到，所述第二信道状态信息包括如下至少一项：
    所述参考时间点的信道状态信息；
    所述参考时间点之前的第三时间段的信道状态信息。
  42. 一种信息上报装置，所述装置包括：
    第一接收模块，用于接收第一设备上报的第一信息；
    其中，所述第一信息包括预测的第一信道状态信息，或者根据预测的第一信道状态信息确定的第二信息，所述第一信道状态信息包括位于参考时间点之后的第一时间段的信道状态信息。
  43. 根据权利要求42所述的装置，其中，所述第一时间段的开始时间点为如下一项：所述参考时间点，所述参考时间点提前第一时长，所述参考时间点延迟第二时长；
    所述第一时间段的结束时间点为如下一项：所述第一时间段的开始时间点之后的K个时间单位，所述第一时间段的开始时间点之后的K个时间单位提前第三时长，所述第一时间段的开始时间点之后的K个时间单位延迟第四时长，其中，K为正整数。
  44. 根据权利要求42所述的装置，其中，所述参考时间点包括如下一项：当前的信道状态信息的配置时刻，当前的信道状态信息的发送时刻，当前的信道状态信息的接收时刻，当前的信道状态信息上报的激活时刻，当前的信道状态信息上报的触发时刻，当前的信道状态信息的参考信号测量时刻。
  45. 根据权利要求42所述的装置，其中，所述第一信道状态信息依据第二信道状态信息预测得到，所述第二信道状态信息包括如下至少一项：
    所述参考时间点的信道状态信息；
    所述参考时间点之前的第三时间段的信道状态信息。
  46. 一种第一设备，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的程序或指令，其中，所述程序或指令被所述处理器执行时实现如权利要求1至18中任一项所述的信息上报方法中的步骤。
  47. 一种第二设备，包括：存储器、处理器及存储在所述存储器上并可在所述处理器上运行的程序或指令，其中，所述程序或指令被所述处理器执行时实现如权利要求19至37中任一项所述的信息上报方法中的步骤。
  48. 一种可读存储介质，所述可读存储介质上存储程序或指令，其中，所 述程序或指令被处理器执行时实现如权利要求1至18中任一项所述的信息上报方法的步骤，或者所述程序或指令被处理器执行时实现如权利要求19至37中任一项所述的信息上报方法的步骤。
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