WO2025152117A1 - Procédé et appareil permettant de régler une priorité de rapport d'informations d'état de canal, et système de communication - Google Patents

Procédé et appareil permettant de régler une priorité de rapport d'informations d'état de canal, et système de communication

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Publication number
WO2025152117A1
WO2025152117A1 PCT/CN2024/073063 CN2024073063W WO2025152117A1 WO 2025152117 A1 WO2025152117 A1 WO 2025152117A1 CN 2024073063 W CN2024073063 W CN 2024073063W WO 2025152117 A1 WO2025152117 A1 WO 2025152117A1
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WO
WIPO (PCT)
Prior art keywords
state information
channel state
information report
value
report
Prior art date
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Pending
Application number
PCT/CN2024/073063
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English (en)
Chinese (zh)
Inventor
孙刚
王昕�
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Fujitsu Ltd
Original Assignee
Fujitsu Ltd
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Filing date
Publication date
Application filed by Fujitsu Ltd filed Critical Fujitsu Ltd
Priority to PCT/CN2024/073063 priority Critical patent/WO2025152117A1/fr
Publication of WO2025152117A1 publication Critical patent/WO2025152117A1/fr
Pending legal-status Critical Current
Anticipated expiration legal-status Critical

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Classifications

    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04B—TRANSMISSION
    • H04B7/00—Radio transmission systems, i.e. using radiation field
    • H04B7/02—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas
    • H04B7/04—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas
    • H04B7/06—Diversity systems; Multi-antenna system, i.e. transmission or reception using multiple antennas using two or more spaced independent antennas at the transmitting station
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/10—Scheduling measurement reports ; Arrangements for measurement reports

Definitions

  • the embodiments of the present application relate to the field of communication technologies.
  • the millimeter wave band can provide larger bandwidth and has become an important frequency band for 5G NR (new wireless) systems. Due to its shorter wavelength, millimeter waves have different propagation characteristics from traditional low-frequency bands, such as higher propagation loss, poor reflection and diffraction performance, etc. Therefore, larger-scale antenna arrays are usually used to form shaped beams with greater gain, overcome propagation loss, and ensure system coverage.
  • the 5G NR standard has designed a series of solutions for beam management, including beam scanning, beam measurement, beam reporting, and beam indication. However, when the number of transmit and receive beams is relatively large, the system load and delay will be greatly increased.
  • AI artificial intelligence
  • a CSI report In a traditional channel state information report (CSI report), a CSI report is associated with a priority value (i.e., the numerical value of the CSI report priority). Different CSI reports are associated with different priority values. The smaller the priority value, the higher the priority.
  • a terminal device needs to send multiple CSI reports to a network device at the same time, the terminal device sends the reports to the network device in the order of priority values from small to large.
  • the terminal device selects a portion of CSI reports from multiple CSI reports and sends them to the network device.
  • the terminal device selects them in order of priority value from small to large, and sends the CSI with high priority first. report and ignore (omit) the CSI reports with low priority.
  • the terminal device when the terminal device calculates CSI, if the terminal device needs to calculate multiple CSIs at the same time and then generate a CSI report on the terminal side, when computing resources are limited, the terminal device gives priority to calculating the CSI with a high CSI report priority (i.e., a small priority value). In other words, the terminal gives priority to generating a CSI report with a high priority.
  • a high CSI report priority i.e., a small priority value
  • the terminal device calculates the priority values of different CSI reports according to the parameters configured by the network device.
  • the inventors of the present application discovered that when the simulated beam (pair) is predicted in the spatial or time domain through the terminal-side AI model, the terminal-side model needs to report a new report quantity to the network device. For the new report quantity, how to calculate the priority value of its CSI report and what priority rules the terminal uses to send the new report quantity, the prior art has no relevant definition.
  • a device for setting a channel state information report priority is provided, which is applied to a terminal device, wherein the device includes a first processing unit, and the first processing unit controls the terminal device to enable the terminal device to perform the following operations:
  • CSI channel state information
  • AI artificial intelligence
  • a value of the channel state information report priority is calculated based on the parameter, and a priority of the channel state information (CSI) report is determined.
  • a device for setting a channel state information report priority is provided, which is applied to a network device, wherein the device includes a second processing unit, and the second processing unit controls the network device to enable the network device to perform the following operations:
  • the network device configures, for the terminal device, parameters related to a channel state information (CSI) report, wherein the channel state information report includes a first channel state information report related to an artificial intelligence (AI) model, and the parameters are used to calculate a numerical value of a channel state information report priority; and
  • CSI channel state information
  • AI artificial intelligence
  • CSI channel state information
  • One of the beneficial effects of the embodiments of the present application is that: a parameter of a first channel state information report related to an artificial intelligence model is received, and a value of a priority of the first channel state information report is calculated according to the parameter, thereby being able to set a priority for a CSI report related to the AI model, thereby avoiding the behavior of a terminal device when reporting multiple CSI reports. uncertainty.
  • FIG1 is a schematic diagram of a communication system of the present application.
  • FIG2 is a schematic diagram of a transmit beam and a receive beam in a communication system according to various embodiments of the present application;
  • FIG. 3 is a schematic diagram of a method for setting the priority of a channel state information report according to an embodiment of the first aspect of the present application
  • FIG. 4 is a schematic diagram of a method for setting the channel state information report priority according to an embodiment of the second aspect of the present application
  • FIG. 5 is a schematic diagram of a device for setting a channel state information report priority according to an embodiment of the third aspect
  • FIG. 6 is a schematic diagram of a device for setting a channel state information report priority according to an embodiment of the fourth aspect
  • FIG7 is a schematic diagram of a terminal device according to an embodiment of the fifth aspect.
  • FIG8 is a schematic diagram of a network device according to an embodiment of the fifth aspect.
  • communication between devices in the communication system may be carried out according to communication protocols of any stage, such as but not limited to the following communication protocols: 1G (generation), 2G, 2.5G, 2.75G, 3G, 4G, 4.5G and 5G, New Radio (NR), etc., and/or other communication protocols currently known or to be developed in the future.
  • 1G generation
  • 2G 2.5G
  • 2.75G 3G
  • 4G 4G
  • 4.5G and 5G
  • NR New Radio
  • the term "network device” refers to, for example, a device in a communication system that connects a terminal device to a communication network and provides services for the terminal device.
  • the network device may include, but is not limited to, the following devices: an integrated access and backhaul node (IAB-node), a base station (BS), an access point (AP), a transmission reception point (TRP), a broadcast transmitter, a mobile management entity (MME), a gateway, a server, a radio network controller (RNC), a base station controller (BSC), and the like.
  • IAB-node integrated access and backhaul node
  • BS base station
  • AP access point
  • TRP transmission reception point
  • MME mobile management entity
  • gateway a gateway
  • server a radio network controller
  • RNC radio network controller
  • BSC base station controller
  • the base station may include but is not limited to: NodeB (NodeB or NB), evolved NodeB (eNodeB or eNB) and 5G base station (gNB), etc., and may also include remote radio head (RRH, Remote Radio Head), remote radio unit (RRU, Remote Radio Unit), relay or low-power node (such as femeto, pico, etc.).
  • NodeB NodeB
  • eNodeB or eNB evolved NodeB
  • gNB 5G base station
  • RRH Remote Radio Head
  • RRU Remote Radio Unit
  • relay or low-power node such as femeto, pico, etc.
  • base station may include some or all of their functions, each base station Communication coverage can be provided for a particular geographic area.
  • the term “cell” can refer to a base station and/or its coverage area, depending on the context in which the term is used.
  • the term "user equipment” (UE) or “terminal equipment” (TE) refers to a device that accesses a communication network through a network device and receives network services.
  • the terminal device may be fixed or mobile, and may also be referred to as a mobile station (MS), a terminal, a subscriber station (SS), an access terminal (AT), a station, and the like.
  • terminal devices may include but are not limited to the following devices: cellular phones, personal digital assistants (PDA, Personal Digital Assistant), wireless modems, wireless communication devices, handheld devices, machine-type communication devices, laptop computers, cordless phones, smart phones, smart watches, digital cameras, etc.
  • PDA personal digital assistants
  • wireless modems wireless communication devices
  • handheld devices machine-type communication devices
  • laptop computers cordless phones
  • smart phones smart watches, digital cameras, etc.
  • the terminal device can also be a machine or device for monitoring or measuring, such as but not limited to: machine type communication (MTC) terminal, vehicle-mounted communication terminal, device to device (D2D) terminal, machine to machine (M2M) terminal, and so on.
  • MTC machine type communication
  • D2D device to device
  • M2M machine to machine
  • network side refers to one side of the network, which may be a base station, or may include one or more network devices as described above.
  • user side or “terminal side” or “terminal device side” refers to one side of the user or terminal, which may be a UE, or may include one or more terminal devices as described above.
  • uplink control signal and “uplink control information (UCI)” or “physical uplink control channel (PUCCH)” are interchangeable, and the terms “uplink data signal” and “uplink data information” or “physical uplink shared channel (PUSCH)” are interchangeable if no confusion is caused;
  • downlink control signal and “downlink control information (DCI)” or “physical downlink control channel (PDCCH)” are interchangeable, and the terms “downlink data signal” and “downlink data information” or “physical downlink shared channel (PDSCH)” are interchangeable.
  • DCI downlink control information
  • PDCCH physical downlink control channel
  • sending or receiving PUSCH can be understood as sending or receiving uplink data carried by PUSCH
  • sending or receiving PUCCH can be understood as sending or receiving uplink information carried by PUCCH
  • sending or receiving PRACH can be understood as sending or receiving preamble carried by PRACH
  • uplink signals may include uplink Data signals and/or uplink control signals, etc., may also be referred to as uplink transmission (UL transmission) or uplink information or uplink channels.
  • Sending uplink transmission on uplink resources may be understood as sending the uplink transmission using the uplink resources.
  • downlink data/signals/channels/information may be understood accordingly.
  • the high-level signaling may be, for example, a radio resource control (RRC) signaling; for example, an RRC message (RRC message), including, for example, MIB, system information (system information), a dedicated RRC message; or an RRC IE (RRC information element).
  • RRC radio resource control
  • the high-level signaling may also be, for example, a MAC (Medium Access Control) signaling; or a MAC CE (MAC control element).
  • RRC radio resource control
  • Figure 1 is a schematic diagram of the communication system of the present application, which schematically illustrates a situation taking a terminal device and a network device as an example.
  • the communication system 100 may include a network device 101 and a terminal device 102 (for simplicity, Figure 1 only illustrates one terminal device as an example).
  • AI artificial intelligence
  • AI/ML artificial intelligence/machine learning
  • the AI model includes but is not limited to: an input layer (input), multiple convolutional layers, a connection layer (concat), a fully connected layer (FC), and a quantizer, etc. Among them, the processing results of multiple convolutional layers are merged in the connection layer.
  • the specific structure of the AI model can refer to the prior art and will not be repeated here.
  • Ncells is a parameter maxNrofSrevingCells configured by a higher layer, that is, the maximum number of serving cells.
  • the terminal device When the AI model on the terminal device side predicts the simulated beam (pair) in the spatial or temporal domain, the terminal device reports the new report quantity to the network device. For the new report quantity, how to calculate the priority value of its CSI report and what priority rules the terminal device uses to send the new report quantity are problems that need to be solved.
  • Operation 302 Calculate the value of the channel state information report priority based on the parameter, and determine the priority of the channel state information (CSI) report.
  • CSI channel state information
  • a terminal device receives a parameter of a first channel state information report related to an artificial intelligence (AI) model, and calculates a value of a first channel state information report priority according to the parameter, thereby being able to It is possible to set priorities for CSI reports related to AI models, thereby avoiding uncertainty in the behavior of terminal devices when reporting multiple CSI reports.
  • AI artificial intelligence
  • the numerical value of the channel state information report (CSI report) priority may also be referred to as the priority value of the channel state information report (CSI report), wherein the smaller the numerical value of the channel state information report priority is, the higher the priority of the channel state information report is.
  • the terminal device may send channel state information reports in order of priority from high to low.
  • the terminal device selects a part of CSI reports from multiple CSI reports and sends them to the network device.
  • the terminal device selects in order of priority value from small to large, preferentially sends CSI reports with high priority, and ignores (omit) CSI reports with low priority.
  • the terminal device when the terminal device calculates CSI, if the terminal device needs to calculate multiple CSIs at the same time and then generate a CSI report on the terminal side, when computing resources are limited, the terminal device gives priority to calculating the CSI with a high CSI report priority (i.e., a small priority value). In other words, the terminal gives priority to generating a CSI report with a high priority.
  • a high CSI report priority i.e., a small priority value
  • the channel state information report quantity (CSI report quantity) related to the AI model may include: predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR), probability information of beam prediction, or performance metrics of the model.
  • L1-RSRP predicted layer 1 reference signal received power
  • L1-SINR layer 1 signal to interference plus noise ratio
  • the predicted layer 1 reference signal received power (L1-RSRP) or layer 1 signal to interference plus noise ratio (L1-SINR), or the probability information of beam prediction can be obtained by the terminal device through reasoning of the artificial intelligence (AI) model, which can be called model reasoning related report quantity; the performance measurement value of the model can be obtained by the terminal device through performance monitoring of the artificial intelligence (AI) model, which can be called model performance monitoring related report quantity.
  • AI artificial intelligence
  • the terminal device may expect that the first channel state information report of the bearer model reasoning related reporting quantity and the first channel state information report of the bearer model performance monitoring related reporting quantity are not sent at the same time.
  • the channel state information (CSI) report described in operation 301 also includes a second channel state information report that is not related to the artificial intelligence (AI) model.
  • AI artificial intelligence
  • the terminal device may desire that the first channel state information report and the second channel state information report are not sent at the same time.
  • the parameters used to calculate the value of the channel state information report priority may include at least one of the following parameters:
  • Parameter y indicating the channel state information report configuration type (CSI report configuration type);
  • the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model can be used to indicate whether the channel state information report contains the channel state information (CSI) report amount related to the artificial intelligence (AI) model.
  • the parameter x takes a value, it can indicate that the channel state information report contains the channel state information (CSI) report amount related to the artificial intelligence (AI) model, that is, the channel state information report is related to the artificial intelligence (AI) model, that is, the channel state information report is a first channel state information report; when the parameter x takes another value, it can indicate that the channel state information report does not contain the channel state information (CSI) report amount related to the artificial intelligence (AI) model, that is, the channel state information report is not related to the artificial intelligence (AI) model, that is, the channel state information report is a second channel state information report.
  • CSI channel state information
  • the channel state information report priority For example, for the calculation of the value of the first channel state information report priority, it means that the channel state information report
  • the value of the parameter k representing the channel state information report amount may be different from the first value and the second value.
  • the first channel state information report priority carrying the report quantity related to artificial intelligence (AI) model reasoning and the first channel state information report priority carrying the report quantity related to artificial intelligence (AI) model performance monitoring are distinguished through at least one of the channel state information (CSI) report configuration identifier, service cell index and channel state information report configuration type.
  • CSI channel state information
  • the value of the channel state information report priority can be calculated based on a parameter x indicating whether the channel state information report is related to an artificial intelligence AI model.
  • the value of the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model is one of the fifth value and the sixth value; for the calculation of the value of the second channel state information report priority that is not related to the artificial intelligence (AI) model, the value of the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model is the other of the fifth value and the sixth value.
  • the fifth value is, for example, 0, and the sixth value is, for example, 1.
  • the parameter x indicating whether the channel state information report is related to the artificial intelligence (AI) model can be used to adjust the weight of at least one of the parameter s indicating the channel state information (CSI) report configuration identifier, the parameter c indicating the serving cell index, the parameter k indicating the channel state information report quantity (CSI report quantity), and the parameter y indicating the channel state information report configuration type (CSI report configuration type).
  • AI artificial intelligence
  • the terminal device sends one or more CSI reports to the network device, and calculates the priority value for each report (see formula (1) for the specific method). The smaller the priority value, the higher the priority.
  • the terminal device needs to send multiple CSI reports on the same time resource, when the resource is limited, the terminal device will give priority to sending the CSI report with a high priority and ignore (omit) the CSI report with a low priority according to the calculated priority value.
  • the network device does not want the CSI reports related to AI model performance monitoring to be ignored. Then the network device can use its scheduling algorithm to prevent CSI reports related to AI model performance monitoring and CSI reports unrelated to AI model performance monitoring from being sent at different times. In other words, the terminal device expects that CSI reports related to AI model performance monitoring (i.e., the first CSI report carrying the model performance monitoring related report quantity) and CSI reports unrelated to AI model performance monitoring (i.e., the first CSI report and/or the second CSI report carrying the model reasoning related report quantity) will not be sent at different times.
  • CSI reports related to AI model performance monitoring i.e., the first CSI report carrying the model performance monitoring related report quantity
  • CSI reports unrelated to AI model performance monitoring i.e., the first CSI report and/or the second CSI report carrying the model reasoning related report quantity
  • the values of the priorities of these CSI reports can be calculated according to at least one of the following parameters:
  • CSI channel state information
  • Parameter c representing the serving cell index
  • Parameter k representing the channel state information report quantity (CSI report quantity);
  • the terminal device expects the numerical value of the priority of the CSI report related to the AI model to be less than the numerical value of the priority of the CSI report not related to the AI model; or, the numerical value of the priority of the CSI report related to the AI model is greater than the numerical value of the priority of the CSI report not related to the AI model.
  • the terminal device simultaneously sends a CSI report carrying the L1-SINR of the current serving cell and a CSI report carrying the report quantity related to the AI model (assuming that the parameters indicating the CSI report configuration type and the parameters indicating the serving cell index of the two CSI reports are the same).
  • the above-mentioned configuration method for the CSI report configuration identifier s can also be applied to the service cell index and/or channel state information report configuration type, for example, for the calculation of the numerical value of the first channel state information report priority that carries the report amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information report priority that carries the report amount related to artificial intelligence (AI) model performance monitoring, it means that the values of the parameters of the channel state information (CSI) report amount are the same (for example, both are equal to the first value or the second value), and the channel state information (CSI) report configuration identifier and/or service cell index and/or channel state information report configuration type configured by the network device are different.
  • AI artificial intelligence
  • the values of the priorities of these CSI reports can be calculated according to at least one of the following parameters:
  • CSI channel state information
  • Parameter c representing the serving cell index
  • Parameter k representing the channel state information report quantity (CSI report quantity);
  • Parameter y representing the channel state information report configuration type (CSI report configuration type).
  • the value of k can be extended based on formula (1), and different values of k can be set for CSI reports related to the AI model and CSI reports not related to the AI model.
  • the following formula (2) can be used to calculate the numerical value Pri CSI of the priority of the CSI report.
  • Pri CSI (y,k,c,s) M k ⁇ N cells ⁇ M s ⁇ y+N cells ⁇ M s ⁇ k+M s ⁇ c+s (2)
  • k is a parameter used to represent the amount of CSI report
  • M k -1 represents the maximum value of k.
  • k may also take other values, and the corresponding value of M k may also change accordingly, but the present application is not limited to this.
  • this application does not limit which report quantity corresponds to the value of k.
  • the correspondence between the report quantity and the value of k can be set as needed.
  • the AI model-related reporting quantities namely, the reporting quantities related to model reasoning and model performance monitoring, correspond to different k values.
  • the CSI report configuration identifier and/or the serving cell index and/or the channel state information report configuration type configured by the network device. For example, the network device does not want the CSI report related to the AI model performance monitoring to be ignored.
  • the network device configures a smaller CSI report configuration identifier for the CSI report related to performance monitoring (for example, indicating that the parameter of the CSI report configuration identifier is smaller), and configures a larger CSI report configuration identifier for the CSI report related to model reasoning (for example, indicating that the parameter of the CSI report configuration identifier is larger).
  • CSI channel state information
  • the value Pri CSI of the CSI report priority can be calculated by the following formula (3).
  • Pri CSI (y,k,c,s) M y ⁇ M k ⁇ N cells ⁇ M s ⁇ x+M k ⁇ N cells ⁇ M s ⁇ y+N cells ⁇ M s ⁇ k+ Ms ⁇ c+s (3)
  • My -1 represents the maximum value of y.
  • k is a parameter representing the amount of CSI reports, and M k -1 represents the maximum value of k.
  • L1-RSRP or L1-SINR Signal to Interference plus Noise Ratio
  • This application does not restrict the value of k corresponding to which type of report amount the CSI report carries.
  • the value Pri CSI of the CSI report priority can be calculated by the following formula (4).
  • Pri CSI (y,k,c,s) M x ⁇ M k ⁇ N cells ⁇ M s ⁇ y+M k ⁇ N cells ⁇ M s ⁇ x+N cells ⁇ M s ⁇ k+ Ms ⁇ c+s (4)
  • M x -1 represents the maximum value of x.
  • M x 2
  • the definitions of other parameters in formula (4) are the same as those in formula (3).
  • the value Pri CSI of the CSI report priority can be calculated by the following formula (5).
  • Pri CSI (y,k,c,s) M k ⁇ M x ⁇ N cells ⁇ M s ⁇ y+M x ⁇ N cells ⁇ M s ⁇ k+N cells ⁇ M s ⁇ x+ Ms ⁇ c+s (5)
  • the value Pri CSI of the CSI report priority can be calculated by the following formula (6).
  • Pri CSI (y,k,c,s) M k ⁇ N cells ⁇ M x ⁇ M s ⁇ y+N cells ⁇ M x ⁇ M s ⁇ k+M x ⁇ M s ⁇ c+M s ⁇ x+s (6)
  • the value Pri CSI of the CSI report priority can be calculated by the following formula (7).
  • Pri CSI (y,k,c,s) M k ⁇ N cells ⁇ M s ⁇ M x ⁇ y+N cells ⁇ M s ⁇ M x ⁇ k+M s ⁇ M x ⁇ c+M x ⁇ s+x (7)
  • Embodiments 1 to 4 do not limit the implementation of the technical solution of the present application.
  • Embodiments 1 to 4 can be reasonably combined or modified.
  • the embodiment of the second aspect provides a method for setting the priority of channel state information reporting, which is applied to a network device, for example, the network device 101 of Figure 1.
  • a network device for example, the network device 101 of Figure 1.
  • FIG4 is a schematic diagram of a method for setting a channel state information report priority according to an embodiment of the second aspect. As shown in FIG4 , the method includes:
  • Operation 402 Receive a channel state information (CSI) report sent by the terminal device.
  • CSI channel state information
  • the smaller the value of the channel state information report priority the higher the channel state information report priority. The higher the priority.
  • the channel state information (CSI) report also includes a second channel state information report that is not related to the artificial intelligence (AI) model, and the network device schedules the first channel state information report and the second channel state information report to be sent at different times.
  • AI artificial intelligence
  • the channel state information (CSI) report also includes a second channel state information report that is not related to the artificial intelligence (AI) model
  • the network device schedules the sending of the first channel state information report and the second channel state information report simultaneously, the network device configures the first channel state information report priority value to be greater than the second channel state information report priority value, or the network device configures the second channel state information report priority value to be greater than the first channel state information report priority value.
  • AI artificial intelligence
  • the network device schedules the first channel state information report of the bearer model reasoning related reporting quantity and the first channel state information report of the bearer model performance monitoring related reporting quantity to be sent at different times.
  • the parameter used to calculate the value of the channel state information report priority includes at least one of the following:
  • a parameter representing the channel state information report quantity (CSI report quantity);
  • the third value is equal to the fourth value, and for the calculation of the numerical value of the first channel state information report priority that carries the reporting amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information report priority that carries the reporting amount related to artificial intelligence (AI) model performance monitoring, the channel state information (CSI) report configuration identifier and/or service cell index and/or channel state information report configuration type configured by the network device are different.
  • the channel state information (CSI) report configuration identifier and/or service cell index and/or channel state information report configuration type configured by the network device are different.
  • the embodiment of the third aspect of the present application provides a setting of channel state information report priority, which is applied to a terminal device and corresponds to the embodiment of the first aspect.
  • CSI channel state information
  • AI artificial intelligence
  • a value of the channel state information report priority is calculated based on the parameter, and a priority of the channel state information (CSI) report is determined.
  • the terminal device further performs the following operations:
  • the terminal device expects that the first channel state information report of the bearer model reasoning related reporting quantity and the first channel state information report of the bearer model performance monitoring related reporting quantity are not sent at the same time.
  • the channel state information (CSI) report also includes a second channel state information report that is not related to the artificial intelligence (AI) model.
  • AI artificial intelligence
  • the parameter used to calculate the value of the channel state information report priority includes at least one of the following:
  • a parameter representing the channel state information report quantity (CSI report quantity);
  • CSI report configuration type Parameter indicating the channel state information report configuration type
  • a parameter indicating whether the channel state information report is related to the artificial intelligence (AI) model is related to the artificial intelligence (AI) model.
  • the channel state information report quantity is associated with an artificial intelligence (AI) model, wherein the channel state information report quantity (CSI report quantity) includes a predicted layer 1 reference signal received power (L1-RSRP) or a layer 1 signal to interference plus noise ratio (L1-SINR), probability information of beam prediction, or a performance metric of a model;
  • AI artificial intelligence
  • the predicted layer 1 reference signal received power or layer 1 signal to interference plus noise ratio, or the probability information of the beam prediction is obtained by the terminal device through reasoning of an artificial intelligence (AI) model, and the performance metric value of the model is obtained by the terminal device through performance monitoring of the artificial intelligence (AI) model.
  • AI artificial intelligence
  • the parameter indicating whether the channel state information report is related to an artificial intelligence (AI) model is used to indicate whether the channel state information report includes a channel state information (CSI) report amount related to the artificial intelligence (AI) model.
  • AI artificial intelligence
  • the value of a parameter representing the channel state information report amount is a first value or a second value
  • the value of the parameter representing the amount of channel state information reports is one of a first value and a second value; for calculation of the numerical value of the first channel state information reporting priority carrying the amount of reports related to artificial intelligence (AI) model performance monitoring, the value of the parameter representing the amount of channel state information reports is the other of the first value and the second value; or
  • the values of the parameters representing the channel state information (CSI) report amount are both the first value or the second value, and the terminal device expects that the channel state information (CSI) report configuration identifier and/or service cell index and/or channel state information report configuration type configured by the network device are different.
  • the value of the parameter representing the channel state information report quantity is a fourth value
  • the third value is equal to or unequal to the fourth value
  • the value of the channel state information report priority is calculated based on a parameter x indicating whether the channel state information report is related to an artificial intelligence (AI) model.
  • AI artificial intelligence
  • the network device configures, for the terminal device, relevant parameters of a channel state information (CSI) report, wherein the channel state information report includes a first channel state information report related to an artificial intelligence (AI) model, and the parameters are used to calculate a numerical value of a channel state information report priority; and
  • CSI channel state information
  • AI artificial intelligence
  • the channel state information (CSI) report also includes a second channel state information report that is not related to the artificial intelligence (AI) model, and the network device schedules the first channel state information report and the second channel state information report to be sent at different times; and/or
  • the first channel state information report of the bearer model reasoning related reporting quantity and the first channel state information report of the bearer model performance monitoring related reporting quantity scheduled by the network device are not sent at the same time.
  • the channel state information (CSI) report also includes a second channel state information report that is not associated with an artificial intelligence (AI) model, and the network device schedules sending the first channel state information report and the second channel state information report simultaneously;
  • AI artificial intelligence
  • the network device configures the first channel state information report priority value to be greater than the second channel state information report priority value, or the network device configures the second channel state information report priority value to be greater than the first channel state information report priority value.
  • the parameter used to calculate the value of the channel state information report priority includes at least one of the following:
  • a parameter representing the channel state information report quantity (CSI report quantity);
  • CSI report configuration type Parameter indicating the channel state information report configuration type
  • a parameter indicating whether the channel state information report is related to the artificial intelligence (AI) model is related to the artificial intelligence (AI) model.
  • the parameter indicating whether the channel state information report is related to an artificial intelligence (AI) model is used to indicate whether the channel state information report includes a channel state information (CSI) report amount related to the artificial intelligence (AI) model.
  • AI artificial intelligence
  • the value of a parameter representing the channel state information report amount is a first value or a second value
  • the value of the parameter representing the amount of channel state information reporting is one of a first value and a second value
  • the value of the parameter representing the amount of channel state information reporting is the other of the first value and the second value
  • the values of the parameters representing the channel state information (CSI) report amount are both the first value or the second value, and the channel state information (CSI) report configuration identifier and/or service cell index and/or channel state information report configuration type configured by the network device are different.
  • the value of the parameter representing the channel state information report amount is different from the first value and the second value, wherein, for calculation of the numerical value of the second channel state information report priority that is not related to the artificial intelligence (AI) model, the value of the parameter representing the channel state information report amount is the first value or the second value.
  • AI artificial intelligence
  • the value of the parameter representing the channel state information report quantity is a fourth value
  • the third value is equal to or unequal to the fourth value
  • the third value is equal to the fourth value, and for the calculation of the numerical value of the first channel state information report priority that carries the reporting amount related to artificial intelligence (AI) model reasoning, and for the calculation of the numerical value of the first channel state information report priority that carries the reporting amount related to artificial intelligence (AI) model performance monitoring, the channel state information (CSI) report configuration identifier and/or service cell index and/or channel state information report configuration type configured by the network device are different.
  • the channel state information (CSI) report configuration identifier and/or service cell index and/or channel state information report configuration type configured by the network device are different.
  • An embodiment of the fifth aspect of the present application provides a communication system, which may include a network device and a terminal device.
  • FIG7 is a schematic diagram of a terminal device of an embodiment of the fifth aspect.
  • the terminal device 700 e.g., corresponding to the terminal device 102 of FIG1
  • the terminal device 700 may include a processor 710 and a memory 720; the memory 720 stores data and programs and is coupled to the processor 710. It is worth noting that the figure is exemplary; other types of structures may also be used to supplement or replace the structure to implement telecommunication functions or other functions.
  • the processor 710 may be configured to execute a program to implement the method in the embodiment of the first aspect.
  • the network device 800 may further include: a transceiver 840 and an antenna 850, etc.
  • the functions of the above components are similar to those in the prior art and are not described in detail here. It is worth noting that the network device 800 does not necessarily include all the components shown in FIG8 ; in addition, the network device 800 may also include components not shown in FIG8 For the components shown, reference may be made to the prior art.
  • An embodiment of the present application also provides a computer program, wherein when the program is executed in a terminal device, the program causes the terminal device to execute the method described in the embodiment of the first aspect.
  • An embodiment of the present application also provides a storage medium storing a computer program, wherein the computer program enables a terminal device to execute the method described in the embodiment of the first aspect.
  • An embodiment of the present application also provides a computer program, wherein when the program is executed in a network device, the program causes the network device to execute the method described in the embodiment of the second aspect.
  • An embodiment of the present application also provides a storage medium storing a computer program, wherein the computer program enables a network device to execute the method described in the embodiment of the second aspect.
  • the above devices and methods of the present application can be implemented by hardware, or by hardware combined with software.
  • the present application relates to such a computer-readable program, which, when executed by a logic component, enables the logic component to implement the above-mentioned devices or components, or enables the logic component to implement the various methods or steps described above.
  • the present application also relates to a storage medium for storing the above program, such as a hard disk, a magnetic disk, an optical disk, a DVD, a flash memory, etc.
  • the method/device described in conjunction with the embodiments of the present application may be directly embodied as hardware, a software module executed by a processor, or a combination of the two.
  • one or more of the functional block diagrams shown in the figure and/or one or more combinations of the functional block diagrams may correspond to various software modules of the computer program flow or to various hardware modules.
  • These software modules may correspond to the various steps shown in the figure, respectively.
  • These hardware modules may be implemented by solidifying these software modules, for example, using a field programmable gate array (FPGA).
  • FPGA field programmable gate array
  • the software module may be located in a RAM memory, a flash memory, a ROM memory, an EPROM memory, an EEPROM memory, a register, a hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
  • a storage medium may be coupled to a processor so that the processor can read information from the storage medium and write information to the storage medium; or the storage medium may be an integral part of the processor.
  • the processor and the storage medium may be located in an ASIC.
  • the software module may be stored in a memory of a mobile terminal or in a memory card that can be inserted into the mobile terminal.
  • the software module may be stored in the MEGA-SIM card or the large-capacity flash memory device.
  • One or more of the functional blocks and/or one or more combinations of the functional blocks described in the drawings may be implemented as a general purpose processor, a digital signal processor (DSP), an application specific integrated circuit (ASIC), a field programmable gate array (FPGA) or other programmable logic device, a discrete Gate or transistor logic devices, discrete hardware components, or any suitable combination thereof.
  • DSP digital signal processor
  • ASIC application specific integrated circuit
  • FPGA field programmable gate array
  • One or more of the functional blocks described in the drawings and/or one or more combinations of functional blocks may also be implemented as a combination of computing devices, such as a combination of a DSP and a microprocessor, multiple microprocessors, one or more microprocessors in communication with a DSP, or any other such configuration.
  • a method for setting a priority of a channel state information report, applied to a network device comprising:
  • the network device configures, for the terminal device, relevant parameters of a channel state information (CSI) report, wherein the channel state information report includes a first channel state information report related to an artificial intelligence (AI) model, and the parameters are used to calculate a numerical value of a channel state information report priority; and
  • CSI channel state information
  • AI artificial intelligence
  • CSI channel state information
  • the channel state information (CSI) report also includes a second channel state information report that is not related to an artificial intelligence (AI) model, and the network device schedules the first channel state information report and the second channel state information report to be sent at different times; and/or
  • AI artificial intelligence
  • the channel state information (CSI) report also includes a second channel state information report not associated with an artificial intelligence (AI) model,
  • the network device configures the first channel state information report priority value to be greater than the second channel state information report priority value, or the network device configures the second channel state information report priority value to be greater than the first channel state information report priority value.
  • the value of the parameter representing the channel state information report quantity is a fourth value
  • the third value is equal to or unequal to the fourth value
  • the channel state information (CSI) report configuration identifier and/or service cell index and/or channel state information report configuration type configured by the network device are different.

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente demande concerne, dans les modes de réalisation, un procédé et un appareil permettant de régler une priorité de rapport d'informations d'état de canal (CSI), et un système de communication. L'appareil permettant de régler une priorité de rapport de CSI est appliqué à un dispositif terminal et l'appareil comprend une première unité de traitement, qui commande un dispositif terminal, de telle sorte que le dispositif terminal effectue les opérations suivantes : la réception de paramètres associés d'un rapport de CSI configuré par un dispositif de réseau, le rapport de CSI comprenant un premier rapport de CSI associé à un modèle d'intelligence artificielle (IA) ; et le calcul de la valeur d'une priorité de rapport de CSI sur la base des paramètres, et la détermination de la priorité pour le rapport de CSI.
PCT/CN2024/073063 2024-01-18 2024-01-18 Procédé et appareil permettant de régler une priorité de rapport d'informations d'état de canal, et système de communication Pending WO2025152117A1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
PCT/CN2024/073063 WO2025152117A1 (fr) 2024-01-18 2024-01-18 Procédé et appareil permettant de régler une priorité de rapport d'informations d'état de canal, et système de communication

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2024/073063 WO2025152117A1 (fr) 2024-01-18 2024-01-18 Procédé et appareil permettant de régler une priorité de rapport d'informations d'état de canal, et système de communication

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