WO2023051630A1 - 资源利用率统计方法、装置及相关设备 - Google Patents

资源利用率统计方法、装置及相关设备 Download PDF

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Publication number
WO2023051630A1
WO2023051630A1 PCT/CN2022/122216 CN2022122216W WO2023051630A1 WO 2023051630 A1 WO2023051630 A1 WO 2023051630A1 CN 2022122216 W CN2022122216 W CN 2022122216W WO 2023051630 A1 WO2023051630 A1 WO 2023051630A1
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prbs
resource utilization
factor
mimo layers
prb
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English (en)
French (fr)
Inventor
陈宁宇
李新
何文林
邓伟
毛剑慧
王乐
范雯
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China Mobile Communications Group Co Ltd
Research Institute of China Mobile Communication Co Ltd
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China Mobile Communications Group Co Ltd
Research Institute of China Mobile Communication Co Ltd
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Priority to JP2024519804A priority Critical patent/JP7719298B2/ja
Priority to US18/697,100 priority patent/US12452737B2/en
Priority to EP22875013.9A priority patent/EP4412320A4/en
Publication of WO2023051630A1 publication Critical patent/WO2023051630A1/zh
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W28/00—Network traffic management; Network resource management
    • H04W28/02—Traffic management, e.g. flow control or congestion control
    • H04W28/10—Flow control between communication endpoints
    • 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
    • H04B7/0413—MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/003—Arrangements for allocating sub-channels of the transmission path
    • H04L5/0058—Allocation criteria
    • H04L5/0076—Allocation utility-based
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0091—Signalling for the administration of the divided path, e.g. signalling of configuration information
    • H04L5/0092—Indication of how the channel is divided
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L5/00—Arrangements affording multiple use of the transmission path
    • H04L5/0001—Arrangements for dividing the transmission path
    • H04L5/0014—Three-dimensional division
    • H04L5/0023—Time-frequency-space

Definitions

  • the embodiments of the present application relate to the technical field of communications, and in particular, to a method, device, and related equipment for counting resource utilization ratios.
  • PRB Physical Resource Block
  • the PRB utilization is usually described by the quotient of the number of PRBs used and the total number of PRBs.
  • the space division multiplexing technology that can improve the transmission speed has been widely used.
  • Space division multiplexing refers to the antenna signals of different data streams.
  • the frequency of the carrier is exactly the same, and the spectrum width is completely overlapped.
  • space division multiplexing technology is a technology that allows the same frequency band to be reused in different spaces. Therefore, the space division multiplexing technology doubles the data that can be transmitted in the same bandwidth, and the spectrum utilization rate also doubles.
  • the current resource utilization statistics method does not consider the situation of space division multiplexing, resulting in low accuracy of resource utilization in the space division multiplexing scenario.
  • Embodiments of the present application provide a resource utilization rate statistics method, device, and related equipment, so as to solve the problem of inaccurate resource utilization rate statistics in a space division multiplexing scenario.
  • the embodiment of the present application provides a resource utilization statistics method, which is used for a network side device, and the resource utilization statistics method includes:
  • the resource utilization is calculated by using the total number of PRBs corrected by the number of layers factor, the number of layers factor is determined according to the PRB usage information at least one sampling moment, and the PRB usage information at least one sampling moment includes at least the number of PRBs used in data transmission Multiple Input Multiple Output (MIMO, Multiple Input Multiple Output) layers.
  • MIMO Multiple Input Multiple Output
  • the layer number factor is:
  • the maximum value of the elements in the first set, the first set includes at least one MIMO layer average value, and the MIMO layer number average value is the PRB used or all PRBs used during data transmission in the corresponding first period Average number of MIMO layers;
  • the average value of the elements in the second set, the second set includes at least one maximum value of the number of MIMO layers, the maximum value of the number of MIMO layers is the PRB used or all PRBs used during data transmission in the corresponding first period The maximum number of MIMO layers.
  • the average number of MIMO layers is:
  • T1 is the first period
  • j is the sampling moment in the first period
  • a is the serial number of the user equipment UE
  • k is the type of MIMO layers
  • M kj (T1) is At the jth sampling moment of , the number of PRBs transmitted with the number of MIMO layers of the kth type
  • L kj (T1) is the number of MIMO layers corresponding to the number of MIMO layers of the kth type at the jth sampling moment in the first cycle
  • M aj (T1) is the j-th sampling moment in the first cycle, the number of PRBs allocated to the a-th UE
  • L aj (T1) is the j-th UE in the first cycle
  • the total number of PRBs corrected by the layer number factor is: the product of the layer number factor and the total number of available PRBs.
  • the total number of available PRBs is:
  • the second period is the same as the first period.
  • an embodiment of the present application provides a resource utilization statistics device, and the resource utilization statistics device includes:
  • a calculation module configured to calculate the resource utilization rate by using the total number of PRBs corrected by the layer number factor, the layer number factor is determined according to the PRB usage information at least one sampling moment, and the PRB usage information at least one sampling moment includes at least The number of multiple-input multiple-output MIMO layers used by the PRB during data transmission.
  • the layer number factor is:
  • the maximum value of the elements in the first set, the first set includes at least one MIMO layer average value, and the MIMO layer number average value is the PRB used or all PRBs used during data transmission in the corresponding first period Average number of MIMO layers;
  • the average value of the elements in the second set, the second set includes at least one maximum value of the number of MIMO layers, the maximum value of the number of MIMO layers is the PRB used or all PRBs used during data transmission in the corresponding first period The maximum number of MIMO layers.
  • the average number of MIMO layers is:
  • T1 is the first period
  • j is the sampling moment in the first period
  • a is the serial number of the user equipment UE
  • k is the type of MIMO layers
  • M kj (T1) is At the jth sampling moment of , the number of PRBs transmitted with the number of MIMO layers of the kth type
  • L kj (T1) is the number of MIMO layers corresponding to the number of MIMO layers of the kth type at the jth sampling moment in the first cycle
  • M aj (T1) is the j-th sampling moment in the first cycle, the number of PRBs allocated to the a-th UE
  • L aj (T1) is the j-th UE in the first cycle
  • the total number of PRBs corrected by the layer number factor is: the product of the layer number factor and the total number of available PRBs.
  • the total number of available PRBs is:
  • the second period is the same as the first period.
  • the embodiment of the present application further provides a network side device, including:
  • a processor configured to calculate resource utilization by using the total number of PRBs corrected by a layer factor, where the layer factor is determined according to PRB usage information at least one sampling moment, and the PRB usage information at least one sampling moment includes at least The number of multiple-input multiple-output MIMO layers used by the PRB during data transmission.
  • the layer number factor is:
  • the maximum value of the elements in the first set, the first set includes at least one MIMO layer average value, and the MIMO layer number average value is the PRB used or all PRBs used during data transmission in the corresponding first period Average number of MIMO layers;
  • the average value of the elements in the second set, the second set includes at least one maximum value of the number of MIMO layers, the maximum value of the number of MIMO layers is the PRB used or all PRBs used during data transmission in the corresponding first period The maximum number of MIMO layers.
  • the average number of MIMO layers is:
  • T1 is the first period
  • j is the sampling moment in the first period
  • a is the serial number of the user equipment UE
  • k is the type of MIMO layers
  • M kj (T1) is At the jth sampling moment of , the number of PRBs transmitted with the number of MIMO layers of the kth type
  • L kj (T1) is the number of MIMO layers corresponding to the number of MIMO layers of the kth type at the jth sampling moment in the first cycle
  • M aj (T1) is the j-th sampling moment in the first cycle, the number of PRBs allocated to the a-th UE
  • L aj (T1) is the j-th UE in the first cycle
  • the total number of PRBs corrected by the layer number factor is: the product of the layer number factor and the total number of available PRBs.
  • the total number of available PRBs is:
  • the second period is the same as the first period.
  • the embodiment of the present application also provides a communication device, including a processor, a memory, and a computer program stored in the memory and operable on the processor, and the computer program is executed by the processor
  • a communication device including a processor, a memory, and a computer program stored in the memory and operable on the processor, and the computer program is executed by the processor
  • the embodiment of the present application also provides a computer-readable storage medium, where a computer program is stored on the computer-readable storage medium, and when the computer program is executed by a processor, the method described in the aforementioned first aspect is implemented. in the steps.
  • the stratum number factor is determined according to the PRB usage information at least one sampling time, since different PRB usage information can be obtained under different load states of the cell within the at least one sampling time, and then can be determined Dynamic layer factor. It is understandable that during the network operation process, the layer number factor can change according to changes in the cell channel conditions, network status, number of users, etc., and the total number of PRBs corrected by such a dynamic layer number factor can more accurately reflect the actual number of cells. With respect to the utilization degree of PRB resources, the accuracy of the calculated resource utilization rate is improved, and the evaluation of the load condition of the cell is also more accurate.
  • FIG. 1 is a schematic flowchart of a resource utilization statistical method provided in an embodiment of the present application
  • FIG. 2 is a schematic diagram of PRB usage statistics provided by the embodiment of the present application.
  • FIG. 3 is a schematic structural diagram of a resource utilization statistics device provided in an embodiment of the present application.
  • FIG. 4 is a schematic structural diagram of network-side equipment provided by the implementation of the present application.
  • FIG. 5 is a schematic structural diagram of a communication device provided by the implementation of the present application.
  • SDM Space Division Multiplexing
  • antenna signals of different data streams may have the same carrier frequency, and their spectrum widths may also completely overlap. Therefore, under the same bandwidth, space division multiplexing can double the data transmission volume, and the spectrum utilization rate can also double.
  • MIMO layers User Equipment (UE) with better channel conditions can be configured with multi-stream MIMO, which is equivalent to using the same PRB resource to transmit multiple copies of data.
  • the number of MIMO layers may also be called the number of MIMO streams, the number of space-division streams, the number of space-division multiplexing layers, or the number of scheduling layers. For example, if the number of MIMO layers is 2 streams, the same PRB resource can transmit two sets of data; if the number of MIMO layers is 3 streams, the same PRB resource can transmit three sets of data.
  • the number of PRBs used also known as the number of occupied PRBs or the number of scheduled PRBs, refers to the number of PRBs used for physical downlink shared channel (Physical Downlink Shared Channel, PDSCH) transmission, which can be understood as the current cell scheduling to all The number of PRBs used by the UE.
  • Physical Downlink Shared Channel Physical Downlink Shared Channel
  • Total number of PRBs refers to the total number of PRBs configured in the current cell.
  • FIG. 1 is a schematic flowchart of a resource utilization statistics method provided in an embodiment of the present application.
  • the resource utilization statistics method shown in FIG. 1 may be executed by a network side device.
  • the resource utilization statistics method may include the following steps:
  • Step 101 Calculate resource utilization by using the total number of PRBs corrected by the layer number factor.
  • ⁇ is used herein to refer to the factor of the number of layers.
  • the above-mentioned layer factor can also be called multiplexing factor, correction factor, multiplication factor, adjustment factor, MIMO flow factor, and MIMO layer factor, which are used to correct the total number of PRBs and determine more accurate actual usable The total number of PRB resources is more in line with the actual situation of the network.
  • the layer number factor ⁇ is determined according to PRB usage information at least one sampling time (Sampling Occasion), and the PRB usage information at least one sampling time includes at least the number of multiple-input multiple-output MIMO layers used by the PRB during data transmission.
  • the PRB usage information includes at least the number of MIMO layers.
  • the number of MIMO layers used by the PRB for data transmission is not fixed.
  • the larger the number of MIMO layers the more data a single PRB can transmit at the same time, which is equivalent to the PRB of a cell.
  • the greater the degree of availability the different layer factors ⁇ should be determined.
  • the number of MIMO layers corresponding to the cell in different network environments is different, and then different layer number factors ⁇ should also be determined.
  • ⁇ is determined based on PRB usage information at least one sampling moment, in other words, ⁇ is determined based on historical PRB usage information.
  • the historical usage information can faithfully record the number of MIMO layers used by PRBs during data transmission, it can actually reflect the spatial division multiplexing usage of PRBs under different load states and different network environments (such as the number of UEs, the intensity of communication, etc.) , so using the ⁇ determined based on the historical PRB usage information to correct the total number of PRBs can more accurately characterize the total number of PRB resources that can be actually used in the space division multiplexing scenario, thereby obtaining a more accurate resource utilization rate.
  • the PRB usage information may also include other information, such as the number of PRBs used, etc., so that the layer number factor ⁇ can be jointly determined in combination with the MIMO layer number and other usage information, which is not specifically limited here.
  • the at least one sampling moment may include sampling moments within one time period, or may include sampling moments within multiple time periods, and when the at least one sampling moment includes sampling moments within multiple time periods, it may be integrated
  • the layer number factor ⁇ can be more accurately determined by the PRB usage information in multiple time periods.
  • the sampling moment may be in units of slots (slots), symbols, or subframes, which are not specifically limited here.
  • the layer number factor ⁇ can represent the PRB space division multiplexing situation at different stages.
  • the PRB usage information at the at least one sampling moment may represent the historical PRB usage of the cell, and the historical PRB usage may reflect the historical load of the cell.
  • the total number of usable PRB resources in a cell in a certain historical period is determined by the above layer number factor ⁇ .
  • the PRB usage information at the at least one sampling moment can also represent the real-time usage of PRBs, the real-time usage of PRBs can reflect the real-time load of the cell, and determine the total number of PRB resources that are currently actually available in the cell through the above-mentioned layer number factor ⁇ .
  • the above layer number factor ⁇ is a stage-related factor based on historical data statistics, and has characteristics that vary with time (or it can be called dynamic characteristics). Compared with the preset static layer number factor, through the above The actual total number of available PRB resources adjusted by the layer number factor ⁇ is more in line with the actual situation of the network.
  • the layer number factor ⁇ obtained in the above situations can be used as the basis for correcting the total number of PRBs in the current stage, so as to make the current load situation of the cell based on the evaluation of the resource utilization rate more accurate.
  • the above layer number factor ⁇ can also be used for resource utilization evaluation in the next stage.
  • the layer number factor ⁇ is determined according to the PRB usage information at least one sampling time, since different PRB usage information can be obtained under different load states of the cell within the at least one sampling time, and then can be determined Dynamic layer number factor ⁇ . It is understandable that during the network operation process, the layer number factor ⁇ can also change according to changes in cell channel conditions, network status, number of users, etc., and the total number of PRBs corrected by such a dynamic layer number factor ⁇ can be more accurately It reflects the actual utilization degree of PRB resources in the cell, which is more in line with the actual situation of the network, the accuracy of the calculated resource utilization rate is improved, and the evaluation of the load status of the cell is also more accurate.
  • the greater the number of MIMO layers used by the PRB during data transmission the greater the layer number factor ⁇ . That is to say, the number of MIMO layers is positively correlated with the layer number factor ⁇ .
  • the layer number factor ⁇ is:
  • the maximum value of the elements in the first set, the first set includes at least one MIMO layer average value, and the MIMO layer number average value is the PRB used or all PRBs used during data transmission in the corresponding first period Average number of MIMO layers;
  • the average value of the elements in the second set, the second set includes at least one maximum value of the number of MIMO layers, the maximum value of the number of MIMO layers is the PRB used or all PRBs used during data transmission in the corresponding first period The maximum number of MIMO layers.
  • the method of determining the layer number factor ⁇ includes at least the following two methods: the first method of determination is to determine the layer number factor ⁇ according to the maximum value of the average value of the MIMO layer number; the second method of determination is The layer number factor ⁇ is determined according to the average value of the maximum value of the MIMO layer number.
  • the first set includes N average values of MIMO layers, and one MIMO The average value of the number of layers corresponds to a sampling time interval; the second set includes N maximum values of the number of MIMO layers, and one maximum value of the number of MIMO layers corresponds to a sampling time interval.
  • the first period may be understood as any sampling time interval in the N sampling time intervals, denoted as T1 herein, and the first period includes at least one sampling moment.
  • Step 1 Calculate the average number of MIMO layers corresponding to each sampling time interval.
  • the average value of the number of MIMO layers corresponding to the first period can be expressed as formula 1:
  • j is the sampling moment in the first period.
  • the numerators of the above formulas 1 and 2 can be understood as first calculating the sum of the products of the PRBs used corresponding to each sampling moment and the respective MIMO layer numbers, which is recorded as the first sum value here, and then the first period The sum of the first sum values at all sampling instants within is summed.
  • the denominator of the above formula 1 can be understood as the sum of the number of PRBs used at all sampling moments in the first period (when a certain PRB is multiplexed n times, the count of the PRB is correspondingly n), the above formula 2
  • the denominator of can be understood as the sum of the available PRB numbers at all sampling moments in the first period.
  • the available PRBs at a certain sampling time include PRB1, PRB2, and PRB3, and the MIMO layers corresponding to PRB1, PRB2, and PRB3 are 4, 2, and 0 respectively, then the corresponding use of The number of PRBs is 2, and the number of available PRBs corresponding to this sampling moment is 3.
  • the above formula 1, compared with formula 2, can more accurately reflect the actual transmission capability of the PRB because it excludes unused PRBs.
  • the layer number factor ⁇ is determined based on the average value of the MIMO layers obtained by formula 1 The space division multiplexing situation of the cell can be reflected more accurately, and thus the resource utilization rate obtained through statistics can be more accurate.
  • the average number of MIMO layers can be further described as:
  • T1 is the first period
  • j is the sampling moment in the first period
  • a is the UE serial number
  • k is the category of MIMO layers
  • M kj (T1) is the first At the j sampling moment, the number of PRBs transmitted with the kth type of MIMO layer number
  • L kj (T1) is the jth sampling moment in the first cycle, the number of MIMO layers corresponding to the kth type of MIMO layer number
  • M aj (T1) is the number of PRBs allocated to the a-th UE at the j-th sampling moment in the first period
  • L aj (T1) is the j-th PRB of the a-th UE in the first period
  • the first of the above two calculation manners is to determine the average value of the number of MIMO layers corresponding to the first period from the perspective of the type of the number of MIMO layers.
  • the category of MIMO layers that is, the value of k
  • the category of MIMO layers can be globally pre-defined, that is, the number of MIMO layers that may exist globally can be pre-defined, and all possible values of k can be pre-defined globally
  • the defined value of L kj (T1) is the same at all sampling instants.
  • the value of k can also be redefined based on the actual situation at each sampling moment.
  • the first period includes five sampling moments, which are respectively sampling moment 1 (slot0), sampling moment 2 (slot1), sampling moment 3 (slot2), sampling moment 4 (slot3) and sampling moment 5 (slot4).
  • M 1j (T1) represents the number of PRBs transmitted with 0 streams at the j-th sampling time
  • M 11 (T1) 0
  • the second of the above two calculation methods is to determine the average value of the number of MIMO layers corresponding to the first period from the perspective of the UE.
  • Step 2 Determine the maximum value of the average value of the number of MIMO layers in the N sampling time intervals.
  • Each sampling time interval performs the process of step 1, and the average value of the MIMO layer number corresponding to each sampling time interval can be obtained, and the maximum value of the N MIMO layer number average values is determined as the layer number factor ⁇ , which can be specifically Expressed as follows:
  • the second determination method is to determine the layer number factor ⁇ according to the average value of the maximum value of the MIMO layer number.
  • Step 1 Calculate the maximum value of the number of MIMO layers corresponding to each sampling time interval.
  • the maximum number of MIMO layers corresponding to the first period is the largest number of MIMO layers at at least one sampling moment in the first period.
  • the first cycle includes 5 sampling moments, namely, sampling moment 1 (slot0), sampling moment 2 (slot1), sampling moment 3 (slot2), Sampling time 4 (slot3) and sampling time 5 (slot4). Then the maximum number of MIMO layers corresponding to the first period is 5.
  • Step 2 Determine the average value of the maximum value of the number of MIMO layers in N sampling time intervals.
  • step 1 The process of step 1 is performed for each sampling time interval, and the maximum value of the MIMO layer number corresponding to each sampling time interval can be obtained, and the maximum value of the N MIMO layer numbers is averaged, and the average value can be determined as the number of layers Factor beta.
  • the average value of each maximum value is taken instead of selecting the maximum value from the maximum value of the MIMO layer number, which can avoid overestimating the actual value of the cell.
  • the used PRB resources further improve the accuracy of resource utilization determination.
  • the determination of the layer number factor ⁇ may also include the following two methods:
  • the layer number factor ⁇ is determined according to the average value of the MIMO layer number average.
  • the maximum value of the number of MIMO layers corresponding to each sampling time interval is calculated first, and then the maximum value among the maximum values of the number of MIMO layers corresponding to N sampling time intervals is determined as the layer number factor ⁇ .
  • this confirmation method reference may be made to the relevant descriptions of the above-mentioned confirmation method 1 and confirmation method 2, and details are not repeated here to avoid repetition.
  • the time interval in which resource utilization needs to be determined currently is defined as a second period, denoted as T2 here, and the second period includes at least one sampling moment.
  • the second period is the same as the first period.
  • the resource utilization rate of the time interval is calculated in real time by using the PRB usage data of the current time period, and the real-time performance of the calculation of the resource utilization rate is stronger, so that the load condition of the cell evaluated based on the resource utilization rate is more accurate.
  • the second period is different from the first period, and may be a time period after the first period. In this way, by using the PRB usage data of the first period to calculate the resource utilization rate of the subsequent time period, the calculation amount can be reduced and the network configuration can be simplified.
  • the determination of the resource utilization rate may be performed according to the following process:
  • Step 1 Determine the number of PRBs actually occupied by the cell.
  • the number of PRBs actually occupied by a cell is not necessarily equal to the sum of the number of PRBs occupied by UEs in the cell.
  • the number of PRBs actually occupied by a UE in a cell at a sampling moment may be the product of the number of PRBs occupied by the UE and the actual number of space-offloaded traffic of the UE, that is, the number of PRBs used by the UE and the actual number of PRBs of the UE
  • the product of the number of MIMO layers is denoted as the second product here.
  • the number of PRBs actually occupied by the cell may be the sum of the second products of all UEs in the cell at all sampling moments in the second period. Specifically, it can be expressed as:
  • i is a sampling moment in the second period
  • a is a UE sequence number
  • Step 2 Determine the total number of PRBs corrected by the layer number factor ⁇ .
  • the total number of PRBs corrected by the layer number factor ⁇ is: a product of the layer number factor and the total number of available PRBs.
  • the total number of available PRBs is used to represent the sum of the actual number of PRBs available at all sampling moments in the second period.
  • the total number of available PRBs is: 1) in the second period, the product of the number of sampling moments and the number of PRBs available at one of the sampling moments; or, 2) in the second period, all sampling moments are available The sum of the number of PRBs.
  • the number of PRBs available at one sampling moment may be the number of available PRBs corresponding to any sampling moment in the second period, or the number of PRBs with the largest number of available PRBs in the second period.
  • the number of available PRBs corresponding to the sampling time, but the total number of available PRBs determined in this way may be an extreme case, which may cause the corrected total number of PRBs to be too large, specifically determine which sampling time in the second cycle corresponds to the number of available PRBs , can be determined according to the actual situation, and is not specifically limited here.
  • the calculated total number of available PRBs is more accurate.
  • Step 3 calculating the cell resource utilization rate.
  • the resource utilization rate of the cell the number of PRBs actually occupied by the cell/the total number of PRBs corrected by the number of layers factor ⁇ , wherein the number of PRBs actually occupied by the cell is obtained in step 1, and the total number of PRBs corrected by the number of layers factor ⁇ Obtained from step two.
  • the resource utilization rate of the cell can be expressed as:
  • the maximum average number of MIMO layers refers to the maximum value among the average values of the numbers of MIMO layers.
  • the resource utilization rate of the cell can be expressed as:
  • the average maximum number of MIMO layers refers to an average value of the maximum values of the numbers of MIMO layers.
  • Step 1 Determine the number of PRBs actually occupied by the cell.
  • the number of PRBs actually occupied by the a UE in the ith sampling is denoted as Mai (T2), and the ith sampling of the a UE
  • the actual number of MIMO layers is denoted as Lai (T2).
  • the number of PRBs actually occupied by the cell can be expressed as:
  • Step 2 Determine the total number of PRBs corrected by the layer number factor ⁇ .
  • the layer factor can be expressed as:
  • N(T2) The number of sampling moments in the second period (T2) is denoted as N(T2)
  • P(T2) the number of available PRBs corresponding to a selected sampling moment
  • P i (T2) the number of available PRBs corresponding to the i-th sampling moment
  • the total number of PRBs corrected by the layer number factor ⁇ can be expressed as:
  • Step 3 calculating the cell resource utilization rate.
  • the resource utilization can be expressed as:
  • the above formula Indicates that it is rounded up, and the value range of resource utilization in the above formula is 0 to 100. It can be understood that the value of the resource utilization rate is not limited thereto, and may also be determined by a percentage, that is, 100 in the expression is replaced by a percentage, but rounding up is not required. The specific description method used for the resource utilization rate may be determined according to the actual situation, and is not specifically limited here.
  • the average value of each MIMO layer number or the maximum value of each MIMO layer number can be calculated first, and then the layer number factor ⁇ is calculated, and then the resource utilization rate can be calculated, or the resource utilization can be calculated directly using the formula G
  • the resource utilization rate can be calculated according to the actual situation, which is not limited here.
  • the steps of the resource utilization statistics method provided by the embodiment of the present application may all be performed by the first network node (base station), or the first network node may determine some parameters, and then send the part parameters to to a second network node (such as a network manager), and then the layer number factor ⁇ is calculated by the second network node. Afterwards, the second network node sends the layer number factor ⁇ to the first network node, and the first network node corrects the total number of PRBs according to the layer number factor ⁇ , and calculates resource utilization.
  • a second network node such as a network manager
  • FIG. 3 is a structural diagram of a resource utilization statistics device provided by an embodiment of the present application.
  • the resource utilization statistics device 300 includes:
  • the calculation module 301 is configured to calculate the resource utilization rate by using the total number of PRBs corrected by the number of layers factor, the number of layers factor is determined according to the PRB usage information of at least one sampling moment, and the PRB usage information of the at least one sampling moment is at least Including the number of multiple-input multiple-output MIMO layers used by the PRB during data transmission.
  • the layer number factor is:
  • the maximum value of the elements in the first set, the first set includes at least one MIMO layer average value, and the MIMO layer number average value is the PRB used or all PRBs used during data transmission in the corresponding first period Average number of MIMO layers;
  • the average value of the elements in the second set, the second set includes at least one maximum value of the number of MIMO layers, the maximum value of the number of MIMO layers is the PRB used or all PRBs used during data transmission in the corresponding first period The maximum number of MIMO layers.
  • the average number of MIMO layers is:
  • T1 is the first period
  • j is the sampling moment in the first period
  • a is the serial number of the user equipment UE
  • k is the type of MIMO layers
  • M kj (T1) is At the jth sampling moment of , the number of PRBs transmitted with the number of MIMO layers of the kth type
  • L kj (T1) is the number of MIMO layers corresponding to the number of MIMO layers of the kth type at the jth sampling moment in the first cycle
  • M aj (T1) is the j-th sampling moment in the first cycle, the number of PRBs allocated to the a-th UE
  • L aj (T1) is the j-th UE in the first cycle
  • the total number of PRBs corrected by the layer number factor is: the product of the layer number factor and the total number of available PRBs.
  • the total number of available PRBs is:
  • the second period is the same as the first period.
  • the resource utilization rate statistics device 300 can realize each process of the method embodiment in FIG. 1 in the embodiment of the present application, and achieve the same beneficial effect. To avoid repetition, details are not repeated here.
  • FIG. 4 is one of the structural diagrams of the network side equipment provided by the embodiment of the present application. As shown in FIG. device 405 and memory 406.
  • Processor 405 configured to calculate the resource utilization rate by using the total number of PRBs corrected by the layer number factor ⁇ , the layer number factor ⁇ is determined according to the PRB usage information at least one sampling moment, and the PRB usage at the at least one sampling moment
  • the information includes at least the number of multiple-input multiple-output MIMO layers used by the PRB during data transmission.
  • the network side device can implement each process in the method embodiment shown in FIG. 1 , and has the same beneficial effect. To avoid repetition, details are not repeated here.
  • the embodiment of the present application also provides a communication device.
  • the communication device may include a processing 501 , a memory 502 and a program 5021 stored in the memory 502 and executable on the processor 501 .
  • any steps in the method embodiment corresponding to FIG. 1 can be implemented and the same beneficial effect can be achieved, and details are not repeated here.
  • the storage medium is, for example, a 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.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • magnetic disk or an optical disk and the like.

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Abstract

本申请实施例提供一种资源利用率统计方法、装置及相关设备，其中，所述方法包括：利用由层数因子修正的物理资源块(PRB)总数计算资源利用率，所述层数因子根据至少一个采样时刻的PRB使用信息确定，所述至少一个采样时刻的PRB使用信息至少包括PRB在数据传输时使用的多入多出(MIMO)层数。本申请能够提高空分复用场景下资源利用率统计的准确性。

Description

资源利用率统计方法、装置及相关设备
相关申请的交叉引用
本申请基于申请号为202111151553.3、申请日为2021年09月29日的中国专利申请提出，并要求该中国专利申请的优先权，该中国专利申请的全部内容在此以全文引入的方式引入本申请。
技术领域
本申请实施例涉及通信技术领域，尤其涉及一种资源利用率统计方法、装置及相关设备。
背景技术
物理资源块(Physical Resource Block，PRB)利用率的统计，通常用于辅助运营商和网络侧获知每个小区的PRB利用率，以较为直观地获取每个小区的忙闲情况、负载情况等。例如，若基于PRB利用率发现某些小区长期处于高负载情况，可以考虑对这些小区进行扩容，或调整网络规划。
目前，PRB利用率的通常通过使用的PRB数和PRB总数的商描述。目前能够提高传输速度的空分复用技术已经得到广泛利用，空分复用是指不同数据流的天线信号，其载波的频率是完全相同的，频谱宽度也是完全重叠在一起的。换句话说，空分复用技术是让同一个频段在不同的空间内得到重复利用的技术。因此，空分复用技术使得相同的带宽能够传输的数据成倍增加，频谱利用率也成倍的增加。但目前的资源利用率统计方法并没有考虑空分复用的情况，导致空分复用场景下的资源利用率的准确度较低。
发明内容
本申请实施例提供一种资源利用率统计方法、装置及相关设备，以解决空分复用场景下资源利用率统计不准确的问题。
为解决上述问题，本申请是这样实现的：
第一方面，本申请实施例提供了一种资源利用率统计方法，用于网络侧设备，所述资源利用率统计方法包括：
利用由层数因子修正的PRB总数计算资源利用率，所述层数因子根据至少一个采样时刻的PRB使用信息确定，所述至少一个采样时刻的PRB使用信息至少包括PRB在数据传输时使用的多入多出(MIMO，Multiple Input Multiple Output)层数。
可选地，在所述至少一个采样时刻，PRB在数据传输时使用的MIMO层数越大，所述层数因子越大。
可选地，所述层数因子为：
第一集合中元素的最大值，所述第一集合包括至少一个MIMO层数平均值，所述MIMO层数平均值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的平均值；
或者，
第二集合中元素的平均值，所述第二集合包括至少一个MIMO层数最大值，所述MIMO层数最大值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的最大值。
可选地，所述MIMO层数平均值为：
Figure PCTCN2022122216-appb-000001
或者，
Figure PCTCN2022122216-appb-000002
其中，T1为所述第一周期，j为所述第一周期内的采样时刻，a为用户设备UE序号，k为MIMO层数的类别，M kj(T1)为在所述第一周期内的第j个采样时刻，以第k类MIMO层数传输的PRB数量，L kj(T1)为在所述第一周期内的第j个采样时刻，第k类MIMO层数对应的MIMO层数；M aj(T1)为所述第一周期内的第j个采样时刻，分配给第a个UE的PRB数量，L aj(T1)为第a个UE在所述第一周期内的第j个采样时刻使用的MIMO层数。
可选地，所述层数因子修正的PRB总数为：所述层数因子和可用的PRB总数的乘积。
可选地，所述可用的PRB总数为：
第二周期内，采样时刻的数量与其中一个采样时刻可用的PRB数的乘积；
或者，
所述第二周期内，所有采样时刻可用的PRB数之和。
可选地，所述第二周期和第一周期相同。
第二方面，本申请实施例提供了一种资源利用率统计装置，所述资源利用率统计装置包括：
计算模块，用于利用由层数因子修正的物理资源块PRB总数计算资源利用率，所述层数因子根据至少一个采样时刻的PRB使用信息确定，所述至少一个采样时刻的PRB使用信息至少包括PRB在数据传输时使用的多入多出MIMO层数。
可选地，在所述至少一个采样时刻，PRB在数据传输时使用的MIMO层数越大，所述层数因子越大。
可选地，所述层数因子为：
第一集合中元素的最大值，所述第一集合包括至少一个MIMO层数平均值，所述MIMO层数平均值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的平均值；
或者，
第二集合中元素的平均值，所述第二集合包括至少一个MIMO层数最大值，所述MIMO层数最大值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的最大值。
可选地，所述MIMO层数平均值为：
Figure PCTCN2022122216-appb-000003
或者，
Figure PCTCN2022122216-appb-000004
其中，T1为所述第一周期，j为所述第一周期内的采样时刻，a为用户设备UE序号，k为MIMO层数的类别，M kj(T1)为在所述第一周期内的第j个采样时刻，以第k类MIMO层数传输的PRB数量，L kj(T1)为在所述第一周期 内的第j个采样时刻，第k类MIMO层数对应的MIMO层数；M aj(T1)为所述第一周期内的第j个采样时刻，分配给第a个UE的PRB数量，L aj(T1)为第a个UE在所述第一周期内的第j个采样时刻使用的MIMO层数。
可选地，所述层数因子修正的PRB总数为：所述层数因子和可用的PRB总数的乘积。
可选地，所述可用的PRB总数为：
第二周期内，采样时刻的数量与其中一个采样时刻可用的PRB数的乘积；
或者，
所述第二周期内，所有采样时刻可用的PRB数之和。
可选地，所述第二周期和第一周期相同。
第三方面，本申请实施例还提供一种网络侧设备，包括：
处理器，用于利用由层数因子修正的物理资源块PRB总数计算资源利用率，所述层数因子根据至少一个采样时刻的PRB使用信息确定，所述至少一个采样时刻的PRB使用信息至少包括PRB在数据传输时使用的多入多出MIMO层数。
可选地，在所述至少一个采样时刻，PRB在数据传输时使用的MIMO层数越大，所述层数因子越大。
可选地，所述层数因子为：
第一集合中元素的最大值，所述第一集合包括至少一个MIMO层数平均值，所述MIMO层数平均值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的平均值；
或者，
第二集合中元素的平均值，所述第二集合包括至少一个MIMO层数最大值，所述MIMO层数最大值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的最大值。
可选地，所述MIMO层数平均值为：
Figure PCTCN2022122216-appb-000005
或者，
Figure PCTCN2022122216-appb-000006
其中，T1为所述第一周期，j为所述第一周期内的采样时刻，a为用户设备UE序号，k为MIMO层数的类别，M kj(T1)为在所述第一周期内的第j个采样时刻，以第k类MIMO层数传输的PRB数量，L kj(T1)为在所述第一周期内的第j个采样时刻，第k类MIMO层数对应的MIMO层数；M aj(T1)为所述第一周期内的第j个采样时刻，分配给第a个UE的PRB数量，L aj(T1)为第a个UE在所述第一周期内的第j个采样时刻使用的MIMO层数。
可选地，所述层数因子修正的PRB总数为：所述层数因子和可用的PRB总数的乘积。
可选地，所述可用的PRB总数为：
第二周期内，采样时刻的数量与其中一个采样时刻可用的PRB数的乘积；
或者，
所述第二周期内，所有采样时刻可用的PRB数之和。
可选地，所述第二周期和第一周期相同。
第四方面，本申请实施例还提供一种通信设备，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计算机程序，所述计算机程序被所述处理器执行时实现如前述第一方面所述方法中的步骤。
第五方面，本申请实施例还提供一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时，实现如前述第一方面所述方法中的步骤。
在本申请实施例中，根据至少一个采样时刻的PRB使用信息确定层数因子，由于在所述至少一个采样时刻内小区的不同的负载状态下，可以获取到不同的PRB使用信息，进而可以确定动态的层数因子。可以理解的是，在网络运营过程中，层数因子可以根据小区信道条件、网络状态、用户数等情况的变化而变化，由这样动态的层数因子修正的PRB总数能够更准确地反映小区实际对PRB资源的利用程度，计算得到的资源利用率的准确性得到提高，对小区负载情况的评估也更加准确。
附图说明
为了更清楚地说明本申请实施例的技术方案，下面将对本申请实施例描述中所需要使用的附图作简单地介绍，显而易见地，下面描述中的附图仅仅是本发明的一些实施例，对于本领域普通技术人员来讲，在不付出创造性劳动性的前提下，还可以根据这些附图获得其他的附图。
图1是本申请实施例提供的资源利用率统计方法的流程示意图；
图2是本申请实施例提供的PRB使用统计示意图；
图3是本申请实施例提供的资源利用率统计装置的结构示意图；
图4是本申请实施提供的网络侧设备的结构示意图；
图5是本申请实施提供的通信设备的结构示意图。
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发明一部分实施例，而不是全部的实施例。基于本发明中的实施例，本领域普通技术人员在没有作出创造性劳动前提下所获得的所有其他实施例，都属于本发明保护的范围。
本申请实施例中的术语“第一”、“第二”等是用于区别类似的对象，而不必用于描述特定的顺序或先后次序。此外，术语“包括”和“具有”以及他们的任何变形，意图在于覆盖不排他的包含，例如，包含了一系列步骤或单元的过程、方法、系统、产品或设备不必限于清楚地列出的那些步骤或单元，而是可包括没有清楚地列出的或对于这些过程、方法、产品或设备固有的其它步骤或单元。此外，本申请中使用“和/或”表示所连接对象的至少其中之一，例如A和/或B和/或C，表示包含单独A，单独B，单独C，以及A和B都存在，B和C都存在，A和C都存在，以及A、B和C都存在的7种情况。
为方便理解，下面对本申请涉及的一些内容进行说明：
空分复用(Space Division Multiplexing，SDM)：是指让同一个频段在不同的空间内得到重复利用。也就是说，不同数据流的天线信号，其载波的频率可以完全相同，频谱宽度也可以完全重叠。因此，在相同的带宽下，空分复用能够成倍增加数据传输量，频谱利用率也就可以成倍地增加。
MIMO层数：信道条件较好的用户设备(User Equipment，UE)可以配置多流MIMO，相当于利用同一个PRB资源传输多份数据。MIMO层数也可称为MIMO流数或空分流数或空分复用层数或调度层数。例如，MIMO层数为2流，则同一个PRB资源可以传输两份数据；MIMO层数为3流，则同一个PRB资源可以传输三份数据。
使用的PRB数，也可称之为占用的PRB数或调度的PRB数，是指用于物理下行共享信道(Physical Downlink Shared Channel，PDSCH)传输的PRB数，具体可以理解为当前小区调度给所有UE使用的PRB数。
PRB总数：是指当前小区配置的PRB总数。
以下对本申请实施例提供的资源利用率统计方法进行说明。
参见图1，图1是本申请实施例提供的资源利用率统计方法的流程示意图。图1所示的资源利用率统计方法可以由网络侧设备执行。
如图1所示，资源利用率统计方法可以包括以下步骤：
步骤101、利用由层数因子修正的PRB总数计算资源利用率。
其中，为方便描述，本文中使用β来指代层数因子。上述的层数因子也可称之为复用因子、修正因子、倍增因子、调整因子、MIMO流数因子、MIMO层数因子，其作用都是用于修正PRB总数，确定更准确的实际可使用的PRB资源总数，更符合网络的实际状况。
所述层数因子β根据至少一个采样时刻(Sampling Occasion)的PRB使用信息确定，所述至少一个采样时刻的PRB使用信息至少包括PRB在数据传输时使用的多入多出MIMO层数。
具体实施中，所述PRB使用信息至少包括所述MIMO层数。当小区的PRB可以配置多流MIMO的情况下，PRB在数据传输时使用的MIMO层数是不固定的，MIMO层数越大，则单个PRB可同时传输的数据就越多，相当于小区PRB的可利用程度就越大，进而应该确定不同的层数因子β。同时，小区在不同网络环境下对应的MIMO层数不同，进而也应该确定不同的层数因子β。
本申请实施例中，基于至少一个采样时刻的PRB使用信息来确定β，换句话说，是基于PRB的历史使用信息来确定β。由于历史使用信息能够忠实的记录PRB在数据传输时使用的MIMO层数，可以实际地反映不同负载状态 以及不同网络环境(例如UE的数量、通信的强度等)下PRB的空分复用使用情况，因此使用基于PRB历史使用信息确定的β来修正PRB总数，可以更准确地表征在空分复用场景下实际可使用的PRB资源总数，进而得到更加准确的资源利用率。
当然，所述PRB使用信息还可以包括其他信息，例如使用的PRB数等，这样可以结合所述MIMO层数和其他使用信息来共同确定层数因子β，在此不作具体限定。
所述至少一个采样时刻可以包括一个时间周期内的采样时刻，也可以包括多个时间周期内的采样时刻，在所述至少一个采样时刻包括多个时间周期内的采样时刻的情况下，可以综合多个时间周期内的PRB使用信息更加准确地确定所述层数因子β。所述采样时刻可以是以时隙(slot)或符号或子帧为单位，在此不作具体限定。
本申请实施例中，根据采集的PRB使用信息所处的阶段不同，所述层数因子β能够表征不同阶段的PRB空分复用情况。
所述至少一个采样时刻的PRB使用信息可以表征小区的PRB的历史使用情况，PRB的历史使用情况可以反映小区的历史负载情况。由上述的层数因子β确定小区某一历史时期的可使用的PRB资源总数。
所述至少一个采样时刻的PRB使用信息也可以表征PRB的实时使用情况，PRB的实时使用情况可以反映小区的实时负载情况，并通上述的层数因子β确定小区当前实际可使用的PRB资源总数。
上述的层数因子β是基于历史数据统计的与阶段相关的因子，具有随时间不同而不同的特点(或者可称之为具有动态特性)，相比于预先设置的静态层数因子，通过上述的层数因子β调整的实际可使用的PRB资源总数更符合网络的实际状况。
上述各种情况下得到的层数因子β，在一种情况下，可以作为当前阶段的PRB总数修正依据，以使得基于所述资源利用率评估的小区当前负载情况更加准确。在另一种情况下，上述层数因子β也可以用于下一阶段的资源利用率评估。
本申请实施例中，根据至少一个采样时刻的PRB使用信息确定层数因子 β，由于在所述至少一个采样时刻内小区的不同的负载状态下，可以获取到不同的PRB使用信息，进而可以确定动态的层数因子β。可以理解的是，在网络运营过程中，层数因子β也可以根据小区信道条件、网络状态、用户数等情况的变化而变化，由这样动态的层数因子β修正的PRB总数能够更准确地反映小区实际对PRB资源的利用程度，更符合网络的实际状况，计算得到的资源利用率的准确性得到提高，对小区负载情况的评估也更加准确。
可选地，在所述至少一个采样时刻，PRB在数据传输时使用的MIMO层数越大，所述层数因子β越大。也就是说，所述MIMO层数与所述层数因子β呈正相关关系。
下面对层数因子β的确定进行说明：
在一可选实施方式中，所述层数因子β为：
第一集合中元素的最大值，所述第一集合包括至少一个MIMO层数平均值，所述MIMO层数平均值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的平均值；
或者，
第二集合中元素的平均值，所述第二集合包括至少一个MIMO层数最大值，所述MIMO层数最大值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的最大值。
换句话说，本实施方式中，确定所述层数因子β的方式至少包括以下两种：确定方式一，根据MIMO层数平均值的最大值，确定所述层数因子β；确定方式二，根据MIMO层数最大值的平均值，确定所述层数因子β。
为方便说明，假设所述至少一个采样时刻分布于N个采样时间区间(即上述的第一周期)，N为正整数，则所述第一集合中包括N个MIMO层数平均值，一个MIMO层数平均值对应一个采样时间区间；所述第二集合中包括N个MIMO层数最大值，一个MIMO层数最大值对应一个采样时间区间。所述第一周期可以理解为所述N个采样时间区间中的任一采样时间区间，在此记为T1，所述第一周期内包括至少一个采样时刻。
下面分别对上述两种确定方式进行说明：
确定方式一，根据MIMO层数平均值的最大值，确定所述层数因子β。
本确定方式中，具体流程如下：
步骤一、计算每个采样时间区间对应的MIMO层数平均值。
以所述第一周期为例，所述第一周期对应的MIMO层数平均值可以表示为式1：
Figure PCTCN2022122216-appb-000007
或者式2：
Figure PCTCN2022122216-appb-000008
其中，j为所述第一周期内的采样时刻。上述式1和式2的分子可以理解为，先计算每个采样时刻对应的使用的PRB与各自的MIMO层数的乘积的和，在此记为第一和值，再将所述第一周期内所有采样时刻的所述第一和值求和。
上述式1的分母可以理解为，所述第一周期内所有采样时刻的使用的PRB数之和(当某一PRB被复用n次时，则该PRB的计数相应为n)，上述式2的分母可以理解为，所述第一周期内所有采样时刻的可用的PRB数之和。
为方便理解，现举例说明，假设在某一采样时刻可用的PRB包括PRB1、PRB2和PRB3，且PRB1、PRB2、PRB3分别对应的MIMO层数为4、2、0，则该采样时刻对应的使用的PRB数为2，而该采样时刻对应的可用的PRB数为3。
实际应用中，上述式1相较于式2来说，由于排除了没有使用的PRB，因此能够更准确地反映PRB的实际传输能力，基于式1得到的MIMO层数平均值确定层数因子β能够更准确地反映小区的空分复用情况，进而统计得到的资源利用率能够更加准确。
当选择可用的PRB数作为分母时，所述MIMO层数平均值可以进一步描述为：
Figure PCTCN2022122216-appb-000009
或者，
Figure PCTCN2022122216-appb-000010
其中，T1为所述第一周期，j为所述第一周期内的采样时刻，a为UE序号，k为MIMO层数的类别，M kj(T1)为在所述第一周期内的第j个采样时刻，以第k类MIMO层数传输的PRB数量，L kj(T1)为在所述第一周期内的第j个采样时刻，第k类MIMO层数对应的MIMO层数；M aj(T1)为在所述第一周期内的第j个采样时刻，分配给第a个UE的PRB数量，L aj(T1)为第a个UE在所述第一周期内的第j个采样时刻使用的MIMO层数。
上述的两种计算方式的第一种，是从所述MIMO层数的类别的角度，确定所述第一周期对应的MIMO层数平均值。
具体实施中，MIMO层数的类别，即k的取值，可以全局预先定义，也就是说，可以预先将全局可能存在的MIMO层数进行定义，在全局预先定义k的所有可能的取值的情况下，在所有采样时刻，L kj(T1)的定义值是相同的。此外，k的取值同样也可以基于每一采样时刻的实际情况重新定义。
为方便理解，现举例说明：在全局预先定义MIMO层数的类别的情况下，假设全局预先定义MIMO层数包括0/1/2/3/4/5共6类，k可分别取值1、2、3、4、5、6。如图2所示，每个RRB的MIMO层数用对应的方框数量表示，则所有的采用时刻中，L 1j(T1)＝0、L 2j(T1)＝1、L 3j(T1)＝2、L 4j(T1)＝3、L 5j(T1)＝4、L 6j(T1)＝5。在每一采样时刻重新定义的情况下，如图2所示，采样时刻1(slot0)中，实际的MIMO层数包括2/3/4共3类，k可分别取值1、2、3，则L 1j(T1)＝2、L 2j(T1)＝3、L 3j(T1)＝4。
如图2所示，所述第一周期内包括5个采样时刻，分别为采样时刻1(slot0)、采样时刻2(slot1)、采样时刻3(slot2)、采样时刻4(slot3)和采样时刻5(slot4)。5个采样时刻存在MIMO层数包括0/2/3/4/5共5类，定义k分别取值1、2、3、4、5，k＝1对应MIMO层数为0，k＝2对应MIMO层数为2，k＝3对应MIMO层数为3，k＝4对应MIMO层数为4，k＝5对应MIMO层数为5，即L 1j(T1)＝0、L 2j(T1)＝2、L 3j(T1)＝3、L 4j(T1)＝4、L 5j(T1)＝5。
M 1j(T1)表示在第j个采样时刻以0流传输的PRB数量，M 2j(T1)＝2表示在第j个采样时刻以2流传输的PRB数量，M 3j(T1)＝3表示在第j个采样时刻 以3流传输的PRB数量，M 4j(T1)＝4表示在第j个采样时刻以4流传输的PRB数量，M 5j(T1)＝5表示在第j个采样时刻以2流传输的PRB数量。以slot0为例，M 11(T1)＝0、M 21(T1)＝1、M 31(T1)＝1、M 41(T1)＝4、M 51(T1)＝0。
上述的两种计算方式的第二种，是从UE的角度，确定所述第一周期对应的MIMO层数平均值。
为方便理解，现举例说明：假设当前小区共接入3个UE，分别为用户UE1、UE2和UE3，a分别取值1、2和3。以采样时刻1(slot0)为例，分配给UE1的PRB数量为1个，且MIMO层数为2，则M 11(T1)＝1，L 11(T1)＝2。
步骤二、确定N个采样时间区间中的MIMO层数平均值的最大值。
每个采样时间区间均执行步骤一的流程，可以得到每个采样时间区间对应的MIMO层数平均值，将N个MIMO层数平均值中的最大值确定为所述层数因子β，具体可以表示如下：
Figure PCTCN2022122216-appb-000011
或者，
Figure PCTCN2022122216-appb-000012
本确定方式中，由于在每个采样时间区间中均计算得到了MIMO层数平均值，再将多个平均值中的最大值确定为所述层数因子β，可以最大化资源利用率。
确定方式二，根据MIMO层数最大值的平均值，确定所述层数因子β。
本确定方式中，具体流程如下：
步骤一、计算每个采样时间区间对应的MIMO层数最大值。
以所述第一周期为例，所述第一周期对应的MIMO层数最大值为所述第一周期内至少一个采样时刻中最大的MIMO层数。
为方便理解，现举例说明，如图2所示，假设所述第一周期内包括5个采样时刻，分别为采样时刻1(slot0)、采样时刻2(slot1)、采样时刻3(slot2)、采样时刻4(slot3)和采样时刻5(slot4)。则所述第一周期对应的MIMO层数最大值为5。
步骤二、确定N个采样时间区间中的MIMO层数最大值的平均值。
每个采样时间区间均执行步骤一的流程，可以得到每个采样时间区间对应的MIMO层数最大值，将N个MIMO层数最大值取平均值，所述平均值可以确定为所述层数因子β。
本确定方式中，由于在每个采样时间区间中均计算得到了MIMO层数最大值，将各最大值取平均值，而不是从MIMO层数最大值中选择最大值，可以避免高估小区实际使用的PRB资源，进一步提高资源利用率确定的准确性。
需要说明的是，除了上述两种确定方式之外，在一可选实施方式中，确定所述层数因子β的方式还可以包括以下两种：
确认方式三，根据MIMO层数平均值的平均值，确定所述层数因子β。
即，先计算每个采样时间区间对应的MIMO层数平均值，再将N个采样时间区间对应的MIMO层数平均值取平均值，并将所述平均值的平均值确定为所述层数因子β。本确认方式的具体实施方式可以参照上述确认方式一和确认方式二的相关说明，为避免重复，在此不再赘述。
确认方式四，根据MIMO层数最大值的最大值，确定所述层数因子β。
即，先计算每个采样时间区间对应的MIMO层数最大值，再将N个采样时间区间对应的MIMO层数最大值中的最大值确定为所述层数因子β。本确认方式的具体实施方式可以参照上述确认方式一和确认方式二的相关说明，为避免重复，在此不再赘述。
下面对资源利用率的确定进行说明：
本申请实施例中，为方便说明，将当前需要确定资源利用率的时间区间定义为第二周期，在此记为T2，所述第二周期包括至少一个采样时刻。
在一可选实施方式中，所述第二周期与所述第一周期相同。这样，利用当前时间段的PRB使用数据来实时计算该时间区间的资源利用率，资源利用率计算的实时性更强，使得基于所述资源利用率评估的小区负载情况更加准确。而在另一可选实施方式中，所述第二周期与所述第一周期不同，可以为所述第一周期之后的时间周期。这样，利用所述第一周期的PRB使用数据来计算之后的时间周期的资源利用率，可以降低计算量，简化网络配置。
具体实施中，对所述资源利用率的确定可以按照以下流程进行：
步骤一、确定小区实际占用的PRB数。
在考虑空分复用的情况下，由于一个PRB可能同时传输多份数据，因此小区实际占用的PRB数并不一定等于小区内各UE占用的PRB数之和。具体的，小区内一个UE在一个采样时刻实际占用的PRB数可以为，该UE的占用的PRB数与该UE的实际空分流数的乘积，即该UE的使用的PRB数与该UE的实际MIMO层数的乘积，在此记为第二乘积。则小区实际占用的PRB数可以为，小区内所有UE在所述第二周期内所有采样时刻的所述第二乘积之和。具体可以表示为：
Figure PCTCN2022122216-appb-000013
或者，可以表示为：
Figure PCTCN2022122216-appb-000014
其中，i为所述第二周期内的采样时刻，a为UE序号。
步骤二、确定由所述层数因子β修正的PRB总数。
在一可选实施方式中，所述层数因子β修正的PRB总数为：所述层数因子和可用的PRB总数的乘积。
具体实施中，所述可用的PRB总数用于表征所述第二周期内所有采样时刻实际可用的PRB数之和。可选地，所述可用的PRB总数为：1)第二周期内，采样时刻的数量与其中一个采样时刻可用的PRB数的乘积；或者，2)所述第二周期内，所有采样时刻可用的PRB数之和。
上述方式1)中，所述一个采样时刻可用的PRB数，可以为所述第二周期内任一采样时刻对应的可用的PRB数，也可以为所述第二周期内可用的PRB数最大的采样时刻对应的可用的PRB数，但这样确定的可用的PRB总数可能属于极端情况，可能造成修正后的PRB总数偏大，具体确定所述第二周期内的哪个采样时刻对应的可用的PRB数，可以根据实际情况决定，在此不作具体限定。上述方式2)中相较于方式1)来说，计算的可用的PRB总数更加准确。
步骤三、计算小区资源利用率。
具体实施中，小区资源利用率＝小区实际占用的PRB数/由层数因子β修正后的PRB总数，其中，小区实际占用的PRB数由步骤一得到，由层数因子 β修正后的PRB总数由步骤二得到。
需要说明的是，在所述层数因子β基于上述确认方式一确定的情况下，所述小区资源利用率可以表示为：
Figure PCTCN2022122216-appb-000015
其中，最大平均MIMO层数是指各MIMO层数平均值中的最大值。
在所述层数因子β基于上述确认方式二确定的情况下，所述小区资源利用率可以表示为：
Figure PCTCN2022122216-appb-000016
其中，平均最大MIMO层数是指各MIMO层数最大值的平均值。
为方便理解，下面介绍一确定资源利用率的示例，具体流程如下：
步骤一、确定小区实际占用的PRB数。
假设第二周期(T2)包括i次采样，且小区内有a个UE，则第i次采样第a个UE实际占用的PRB数记为M ai(T2)，第i次采样第a个UE的实际MIMO层数记为L ai(T2)。那么，小区实际占用的PRB数可以表示为：
Figure PCTCN2022122216-appb-000017
步骤二、确定由所述层数因子β修正的PRB总数。
1)确定层数因子β
层数因子可以表示为：
Figure PCTCN2022122216-appb-000018
或者，
Figure PCTCN2022122216-appb-000019
2)确定可用的PRB总数
将第二周期(T2)内的采样时刻的数量记为N(T2)，选取的一个采样时刻对应的可用的PRB数记为P(T2)，第i个采样时刻对应的可用的PRB数记为P i(T2)。那么，所述可用的PRB总数可以表示为：
N(T2)*P(T2)
或者，
Figure PCTCN2022122216-appb-000020
3)确定由所述层数因子β修正的PRB总数
所述由所述层数因子β修正的PRB总数可以表示为：
β*N(T2)*P(T2)
或者，
Figure PCTCN2022122216-appb-000021
步骤三、计算小区资源利用率。
所述资源利用率可以表示为：
Figure PCTCN2022122216-appb-000022
或者，
Figure PCTCN2022122216-appb-000023
需要说明的是，上式中的
Figure PCTCN2022122216-appb-000024
表示向上取整，上式中资源利用率的取值范围为0至100。可以理解的是，所述资源利用率的取值并不限于此，也可以使用百分比确定，即表达式中的100替换为百分比，但不需要向上取整。资源利用率具体使用何种描述方式可根据实际情况决定，在此不作具体限定。
将β带入，可以得到资源利用率的计算公式G：
Figure PCTCN2022122216-appb-000025
或者，
Figure PCTCN2022122216-appb-000026
或者，
Figure PCTCN2022122216-appb-000027
或者，
Figure PCTCN2022122216-appb-000028
需要说明的是，本申请实施例中，可以先计算各MIMO层数平均值或各MIMO层数最大值，再计算层数因子β，再计资源利用率，也可以直接利用公式G计算资源利用率计算资源利用率，具体可根据实际情况决定，在此不作限定。
需要说明的是，本申请实施例提供的资源利用率统计方法的步骤，可以全部由第一网络节点(基站)执行，也可以由所述第一网络节点确定部分参数，再将该部分参数发送至第二网络节点(例如网管)，然后由所述第二网络节点计算得到层数因子β。之后，所述第二网络节点再将所述层数因子β发送给所述第一网络节点，再由所述第一网络节点根据层数因子β修正PRB总数，并计算资源利用率。
参见图3，图3是本申请实施例提供的资源利用率统计装置的结构图。
如图3所示，资源利用率统计装置300包括：
计算模块301，用于利用由层数因子修正的物理资源块PRB总数计算资源利用率，所述层数因子根据至少一个采样时刻的PRB使用信息确定，所述至少一个采样时刻的PRB使用信息至少包括PRB在数据传输时使用的多入多 出MIMO层数。
可选地，在所述至少一个采样时刻，PRB在数据传输时使用的MIMO层数越大，所述层数因子越大。
可选地，所述层数因子为：
第一集合中元素的最大值，所述第一集合包括至少一个MIMO层数平均值，所述MIMO层数平均值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的平均值；
或者，
第二集合中元素的平均值，所述第二集合包括至少一个MIMO层数最大值，所述MIMO层数最大值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的最大值。
可选地，所述MIMO层数平均值为：
Figure PCTCN2022122216-appb-000029
或者，
Figure PCTCN2022122216-appb-000030
其中，T1为所述第一周期，j为所述第一周期内的采样时刻，a为用户设备UE序号，k为MIMO层数的类别，M kj(T1)为在所述第一周期内的第j个采样时刻，以第k类MIMO层数传输的PRB数量，L kj(T1)为在所述第一周期内的第j个采样时刻，第k类MIMO层数对应的MIMO层数；M aj(T1)为所述第一周期内的第j个采样时刻，分配给第a个UE的PRB数量，L aj(T1)为第a个UE在所述第一周期内的第j个采样时刻使用的MIMO层数。
可选地，所述层数因子修正的PRB总数为：所述层数因子和可用的PRB总数的乘积。
可选地，所述可用的PRB总数为：
第二周期内，采样时刻的数量与其中一个采样时刻可用的PRB数的乘积；
或者，
所述第二周期内，所有采样时刻可用的PRB数之和。
可选地，所述第二周期和第一周期相同。
资源利用率统计装置300能够实现本申请实施例中图1方法实施例的各个过程，以及达到相同的有益效果，为避免重复，这里不再赘述。
请参阅图4，图4是本申请实施例提供的网络侧设备的结构图之一，如图4所示，该网络侧设备包括：总线401、收发机402、天线403、总线接口404、处理器405和存储器406。
处理器405，用于利用由层数因子β修正的物理资源块PRB总数计算资源利用率，所述层数因子β根据至少一个采样时刻的PRB使用信息确定，所述至少一个采样时刻的PRB使用信息至少包括PRB在数据传输时使用的多入多出MIMO层数。
本实施方式中，网络侧设备能够实现图1所示方法实施例中的各个过程，且具有相同的有益效果，为避免重复，这里不再赘述。
本申请实施例还提供一种通信设备。请参见图5，通信设备可以包括处理，501、存储器502及存储在存储器502上并可在处理器501上运行的程序5021。
在所述通信设备为网络侧设备的情况下，程序5021被处理器501执行时可实现图1对应的方法实施例中的任意步骤及达到相同的有益效果，此处不再赘述。
本领域普通技术人员可以理解实现上述实施例方法的全部或者部分步骤是可以通过程序指令相关的硬件来完成，所述的程序可以存储于一可读取介质中。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计算机程序，所述计算机程序被处理器执行时可实现上述图1对应的方法实施例中的任意步骤，且能达到相同的技术效果，为避免重复，这里不再赘述。
所述的存储介质，如只读存储器(Read-Only Memory，ROM)、随机存取存储器(Random Access Memory，RAM)、磁碟或者光盘等。
以上所述是本申请实施例的优选实施方式，应当指出，对于本技术领域的普通技术人员来说，在不脱离本发明所述原理的前提下，还可以作出若干改进和润饰，这些改进和润饰也应视为本发明的保护范围。

Claims (11)

  1. 一种资源利用率统计方法，用于网络侧设备，所述资源利用率统计方法包括：
    利用由层数因子修正的物理资源块PRB总数计算资源利用率，所述层数因子根据至少一个采样时刻的PRB使用信息确定，所述至少一个采样时刻的PRB使用信息至少包括PRB在数据传输时使用的多入多出MIMO层数。
  2. 根据权利要求1所述的资源利用率统计方法，其中，在所述至少一个采样时刻，PRB在数据传输时使用的MIMO层数越大，所述层数因子越大。
  3. 根据权利要求1所述的资源利用率统计方法，其中，所述层数因子为：
    第一集合中元素的最大值，所述第一集合包括至少一个MIMO层数平均值，所述MIMO层数平均值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的平均值；
    或者，
    第二集合中元素的平均值，所述第二集合包括至少一个MIMO层数最大值，所述MIMO层数最大值为对应的第一周期内，使用的PRB或者全部PRB在数据传输时使用的MIMO层数的最大值。
  4. 根据权利要求3所述的资源利用率统计方法，其中，所述MIMO层数平均值为：
    Figure PCTCN2022122216-appb-100001
    或者，
    Figure PCTCN2022122216-appb-100002
    其中，T1为所述第一周期，j为所述第一周期内的采样时刻，a为用户设备UE序号，k为MIMO层数的类别，M kj(T1)为在所述第一周期内的第j个采样时刻，以第k类MIMO层数传输的PRB数量，L kj(T1)为在所述第一周期内的第j个采样时刻，第k类MIMO层数对应的MIMO层数；M aj(T1)为所述第一周期内的第j个采样时刻，分配给第a个UE的PRB数量，L aj(T1)为第a个UE在所述第一周期内的第j个采样时刻使用的MIMO层数。
  5. 根据权利要求1-4中任意一项所述的资源利用率统计方法，其中，所述层数因子修正的PRB总数为：所述层数因子和可用的PRB总数的乘积。
  6. 根据权利要求5所述的资源利用率统计方法，其中，所述可用的PRB总数为：
    第二周期内，采样时刻的数量与其中一个采样时刻可用的PRB数的乘积；
    或者，
    所述第二周期内，所有采样时刻可用的PRB数之和。
  7. 根据权利要求6所述的资源利用率统计方法，其中，所述第二周期和第一周期相同。
  8. 一种资源利用率统计装置，所述资源利用率统计装置包括：
    计算模块，用于利用由层数因子修正的物理资源块PRB总数计算资源利用率，所述层数因子根据至少一个采样时刻的PRB使用信息确定，所述至少一个采样时刻的PRB使用信息至少包括PRB在数据传输时使用的多入多出MIMO层数。
  9. 一种网络侧设备，包括：
    处理器，用于利用由层数因子修正的物理资源块PRB总数计算资源利用率，所述层数因子根据至少一个采样时刻的PRB使用信息确定，所述至少一个采样时刻的PRB使用信息至少包括PRB在数据传输时使用的多入多出MIMO层数。
  10. 一种通信设备，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计算机程序，所述计算机程序被所述处理器执行时实现如权利要求1至7中任一项所述的资源利用率统计方法中的步骤。
  11. 一种计算机可读存储介质，所述计算机可读存储介质上存储有计算机程序，所述计算机程序被处理器执行时，实现如权利要求1至7中任一项所述的资源利用率统计方法中的步骤。
PCT/CN2022/122216 2021-09-29 2022-09-28 资源利用率统计方法、装置及相关设备 Ceased WO2023051630A1 (zh)

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