WO2023005448A1 - 无线资源利用率确定方法、装置、电子设备及存储介质 - Google Patents

无线资源利用率确定方法、装置、电子设备及存储介质 Download PDF

Info

Publication number
WO2023005448A1
WO2023005448A1 PCT/CN2022/097949 CN2022097949W WO2023005448A1 WO 2023005448 A1 WO2023005448 A1 WO 2023005448A1 CN 2022097949 W CN2022097949 W CN 2022097949W WO 2023005448 A1 WO2023005448 A1 WO 2023005448A1
Authority
WO
WIPO (PCT)
Prior art keywords
statistical period
channel
time slot
prbs
occupied
Prior art date
Application number
PCT/CN2022/097949
Other languages
English (en)
French (fr)
Inventor
李�一
刘光海
李菲
金雨超
朱小萌
郑雨婷
肖天
薛永备
贾玉玮
程新洲
Original Assignee
中国联合网络通信集团有限公司
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by 中国联合网络通信集团有限公司 filed Critical 中国联合网络通信集团有限公司
Priority to EP22848057.0A priority Critical patent/EP4380222A1/en
Priority to KR1020247006711A priority patent/KR20240038078A/ko
Publication of WO2023005448A1 publication Critical patent/WO2023005448A1/zh

Links

Images

Classifications

    • 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
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/50—Allocation or scheduling criteria for wireless resources
    • H04W72/535—Allocation or scheduling criteria for wireless resources based on resource usage policies
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W24/00—Supervisory, monitoring or testing arrangements
    • H04W24/08—Testing, supervising or monitoring using real traffic
    • 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
    • H04B7/0452—Multi-user MIMO systems
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
    • H04L41/14—Network analysis or design
    • H04L41/142—Network analysis or design using statistical or mathematical methods
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0446—Resources in time domain, e.g. slots or frames
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/0453—Resources in frequency domain, e.g. a carrier in FDMA
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W72/00—Local resource management
    • H04W72/04—Wireless resource allocation
    • H04W72/044—Wireless resource allocation based on the type of the allocated resource
    • H04W72/046—Wireless resource allocation based on the type of the allocated resource the resource being in the space domain, e.g. beams

Definitions

  • the present disclosure relates to the field of communication technologies, and in particular, to a method, device, electronic equipment, and storage medium for determining the utilization rate of wireless resources.
  • the 5G network calculates the wireless resource utilization rate based on the maximum capacity of the network, that is, calculates the wireless resource utilization rate based on the full-bandwidth physical resource block (Physical Resource Block, PRB) and the maximum number of configuration layers.
  • PRB Physical Resource Block
  • Embodiments of the present application provide a method, device, electronic device, and storage medium for determining wireless resource utilization, so as to at least solve the problem in the related art that the wireless resource utilization is too low to truly and effectively reflect network load conditions.
  • a method for determining the utilization rate of radio resources including: obtaining communication data within a statistical period of a cell, where the communication data includes: the total number of PRBs occupied by channels in each time slot, According to the total number of PRBs occupied by the channel space division of each time slot, the maximum number of scheduling layers of each time slot, and the total number of available PRBs of the channel; according to the total number of PRBs occupied by the channel non-space division of each time slot and the maximum number of scheduling layers of each time slot, determine the statistics
  • the channel non-spatial division occupies wireless resources in the period; according to the total number of PRBs occupied by the channel space division in each time slot, determine the wireless resources occupied by the channel space division in the statistical period; according to the total number of PRBs available for the channel and the maximum scheduling layer of each time slot Determine the available wireless resources of channels within the statistical period; determine the wireless resource utilization rate according to the wireless resources occupied by non-spatial channels in the statistical
  • the wireless resource occupied by the channel in the statistical period in non-spatial division satisfies the following formula:
  • T1 represents the wireless resources occupied by non-spatial channels in the statistical period
  • i represents the i-th time slot in the statistical period
  • PRB i represents the total number of PRBs occupied by non-spatial channels in the i-th time slot
  • Layer i represents the i-th time slot in the statistical period
  • the maximum number of scheduling layers for a time slot, n is a positive integer.
  • the wireless resources occupied by channel space division within the statistical period satisfy the following formula:
  • T2 represents the wireless resources occupied by channel space division in the statistical period
  • i represents the i-th time slot in the statistical period
  • PRB i,j represents the number of PRBs occupied by the channel space division of layer j occupied by the i-th time slot
  • j represents the occupied Number of layers
  • n is a positive integer
  • m is a positive integer
  • j is a positive integer.
  • determining the available wireless resources of the channel within the statistical period includes: determining the statistics according to the maximum number of scheduling layers of each time slot The average maximum number of scheduling layers in the period; determine the available wireless resources of the channel in the statistical period according to the total number of PRBs available for the channel and the average maximum number of scheduling layers in the statistical period.
  • the average maximum number of scheduling layers in a statistical period satisfies the following formula:
  • L represents the average maximum number of scheduling layers in the statistical period
  • i represents the i-th time slot in the statistical cycle
  • Layer i represents the maximum number of scheduling layers in the i-th time slot
  • k represents the number of time slots with the maximum number of scheduling layers
  • n is a positive integer
  • Layer i is a positive integer
  • k is a positive integer.
  • the available radio resources of the channel within the statistical period satisfy the following formula:
  • T3 represents the available radio resources of the channel in the statistical period
  • L represents the average maximum number of scheduling layers in the statistical period
  • n represents the number of time slots in the statistical period
  • n is a positive integer
  • B represents the configured number of PRBs in each time slot.
  • the radio resource utilization satisfies the following formula:
  • Radio resource utilization ratio (radio resources occupied by non-spatial channels in the statistical period + radio resources occupied by spaced channels in the statistical period) / available radio resources of the channel in the statistical period.
  • the method for determining the utilization rate of radio resources before acquiring the communication data within the statistical period of the cell, the method for determining the utilization rate of radio resources further includes: acquiring MIMO configuration information of the cell; and determining whether the cell enables MU-MIMO mode according to the MIMO configuration information; If it is determined that the cell has turned on the MU-MIMO mode, the communication data within the statistical period of the cell is acquired.
  • the method for determining radio resource utilization further includes: when it is determined that the MU-MIMO mode is not enabled in the cell, acquiring the total number of PRBs occupied by the channel and the total number of PRBs available for the channel within the statistical period; The total number of channel occupied PRBs and the total number of channel available PRBs determine the radio resource utilization.
  • a method for determining the utilization rate of radio resources including: acquiring communication data within a statistical period of a cell, where the communication data includes: the total number of PRBs occupied by the channel space of each time slot, the total number of PRBs occupied by each time slot, The maximum number of scheduling layers and the total number of PRBs available for the channel; according to the total number of PRBs occupied by the channel space of each time slot, determine the wireless resources occupied by the channel space within the statistical period; according to the total number of available PRBs of the channel and the maximum scheduling layer of each time slot Determine the available wireless resources of the channel in the statistical period; determine the utilization rate of wireless resources according to the occupied wireless resources of the channel space in the statistical period and the available wireless resources of the channel in the statistical period.
  • the wireless resources occupied by channel space division within the statistical period satisfy the following formula:
  • T2 represents the wireless resources occupied by channel space division in the statistical period
  • i represents the i-th time slot in the statistical period
  • PRB i,j represents the number of PRBs occupied by the channel space division of layer j occupied by the i-th time slot
  • j represents the occupied Number of layers
  • n is a positive integer
  • m is a positive integer
  • j is a positive integer.
  • determining the available wireless resources of the channel within the statistical period includes: determining the statistics according to the maximum number of scheduling layers of each time slot The average maximum number of scheduling layers in the period; determine the available wireless resources of the channel in the statistical period according to the total number of PRBs available for the channel and the average maximum number of scheduling layers in the statistical period.
  • the average maximum number of scheduling layers in a statistical period satisfies the following formula:
  • L represents the average maximum number of scheduling layers in the statistical period
  • i represents the i-th time slot in the statistical cycle
  • Layer i represents the maximum number of scheduling layers in the i-th time slot
  • k represents the number of time slots with the maximum number of scheduling layers
  • n is a positive integer
  • Layer i is a positive integer
  • k is a positive integer.
  • the available radio resources of the channel within the statistical period satisfy the following formula:
  • T3 represents the available radio resources of the channel in the statistical period
  • L represents the average maximum number of scheduling layers in the statistical period
  • n represents the number of time slots in the statistical period
  • n is a positive integer
  • B represents the configured number of PRBs in each time slot.
  • the available radio resources of the channel within the statistical period satisfy the following formula:
  • T3 represents the available wireless resources of the channel in the statistical period
  • L represents the average maximum number of scheduling layers in the statistical period
  • i represents the i-th time slot in the statistical period
  • n represents the number of time slots in the statistical period
  • n is a positive integer
  • B i represents the configured number of PRBs in the i-th time slot.
  • the radio resource utilization satisfies the following formula:
  • Radio resource utilization ratio radio resources occupied by channel space division in the statistical period/available radio resources of the channel in the statistical period.
  • the method for determining the utilization rate of radio resources before acquiring the communication data within the statistical period of the cell, the method for determining the utilization rate of radio resources further includes: acquiring MIMO configuration information of the cell; and determining whether the cell enables MU-MIMO mode according to the MIMO configuration information; If it is determined that the cell has turned on the MU-MIMO mode, the communication data within the statistical period of the cell is acquired.
  • the method for determining radio resource utilization further includes: when it is determined that the MU-MIMO mode is not enabled in the cell, acquiring the total number of PRBs occupied by the channel and the total number of PRBs available for the channel within the statistical period; The total number of channel occupied PRBs and the total number of channel available PRBs determine the radio resource utilization.
  • a method for determining the average maximum number of scheduling layers within a statistical period including:
  • the average maximum number of scheduling layers in the statistical period satisfies the following formula:
  • L represents the average maximum number of scheduling layers in the statistical period
  • i represents the i-th time slot in the statistical cycle
  • Layer i represents the maximum number of scheduling layers in the i-th time slot
  • k represents the number of time slots with the maximum number of scheduling layers
  • n is a positive integer
  • Layer i is a positive integer
  • k is a positive integer.
  • an apparatus for determining radio resource utilization including: an acquisition module configured to acquire communication data within a statistical period of a cell, where the communication data includes: channel non-spatial division of each time slot The total number of PRBs occupied, the total number of PRBs occupied by channel space division of each time slot, the maximum number of scheduling layers of each time slot, and the total number of PRBs available for channels; the determination module is configured to perform according to the channel non-space division of each time slot.
  • the total number and the maximum number of scheduling layers of each time slot determine the radio resources occupied by the channel non-space division in the statistical period; the determination module is also configured to determine the total number of PRBs occupied by the channel space division in each time slot according to the statistical period
  • the channel space division occupies wireless resources; the determination module is also configured to determine the available wireless resources of the channel within the statistical period according to the total number of PRBs available for the channel and the maximum number of scheduling layers for each time slot; the determination module is also configured to perform according to the statistical period
  • the wireless resources occupied by non-spatial channels within the statistical period, the wireless resources occupied by the spatial division of channels within the statistical period, and the available wireless resources of the channels within the statistical period determine the utilization rate of wireless resources.
  • the wireless resource occupied by the channel in the statistical period in non-spatial division satisfies the following formula:
  • T1 represents the wireless resources occupied by non-spatial channels in the statistical period
  • i represents the i-th time slot in the statistical period
  • PRB i represents the total number of PRBs occupied by non-spatial channels in the i-th time slot
  • Layer i represents the i-th time slot in the statistical period
  • the maximum number of scheduling layers for a time slot, n is a positive integer.
  • the wireless resources occupied by channel space division within the statistical period satisfy the following formula:
  • T2 represents the wireless resources occupied by channel space division in the statistical period
  • i represents the i-th time slot in the statistical period
  • PRB i,j represents the number of PRBs occupied by the channel space division of layer j occupied by the i-th time slot
  • j represents the occupied Number of layers
  • n is a positive integer
  • m is a positive integer
  • j is a positive integer.
  • the determining module is specifically configured to execute: determine the average maximum number of scheduling layers in the statistical period according to the maximum number of scheduling layers in each time slot; The number of layers determines the available wireless resources of the channel within the statistical period.
  • the average maximum number of scheduling layers in a statistical period satisfies the following formula:
  • L represents the average maximum number of scheduling layers in the statistical period
  • i represents the i-th time slot in the statistical cycle
  • Layer i represents the maximum number of scheduling layers in the i-th time slot
  • k represents the number of time slots with the maximum number of scheduling layers
  • n is a positive integer
  • Layer i is a positive integer
  • k is a positive integer.
  • the available radio resources of the channel within the statistical period satisfy the following formula:
  • T3 represents the available wireless resources of the channel in the statistical period
  • L represents the average maximum number of scheduling layers in the statistical period
  • n represents the number of time slots in the statistical period
  • n is a positive integer
  • B represents the configured number of PRBs in each time slot.
  • the radio resource utilization satisfies the following formula:
  • Radio resource utilization ratio (radio resources occupied by non-spatial channels in the statistical period + radio resources occupied by spaced channels in the statistical period) / available radio resources of the channel in the statistical period.
  • the device for determining radio resource utilization further includes a configuration module configured to: acquire MIMO configuration information of the cell; determine whether the cell has enabled the MU-MIMO mode according to the MIMO configuration information; determine whether the cell has When the MU-MIMO mode is turned on, the communication data in the statistical period of the cell is obtained.
  • the configuration module is further configured to execute: when it is determined that the cell does not enable the MU-MIMO mode, obtain the total number of PRBs occupied by the channel and the total number of PRBs available for the channel within the statistical period; The total number of PRBs occupied by the channel and the total number of PRBs available for the channel determine the utilization rate of wireless resources.
  • an electronic device including: a processor; a memory for storing processor-executable instructions; wherein, the processor is configured to execute instructions to achieve the above-mentioned first aspect and any one thereof A method for determining radio resource utilization in a possible implementation manner.
  • a computer-readable storage medium When the instructions in the computer-readable storage medium are executed by the processor of the electronic device, the electronic device can execute any one of the above-mentioned first aspect A method for determining radio resource utilization in a possible implementation manner.
  • the technical solution provided by the present disclosure brings at least the following beneficial effects: by using the maximum number of scheduling layers in the statistical period of the cell to calculate the wireless resources occupied by the channel non-spatial division and the available wireless resources of the channel, and then according to the wireless resources occupied by the non-spatial division of the channel, the channel Space division occupies wireless resources and channel available wireless resources to determine the wireless resource utilization rate, considering the geographical environment of the cell and the actual distribution of users to limit the wireless resource capacity of the cell, so that the accuracy of the calculation results of the wireless resource utilization rate is improved, and it can be real Effectively respond to the load situation of the network.
  • Fig. 1 is a flow chart of a method for determining radio resource utilization according to some exemplary embodiments
  • Fig. 2 is a flow chart showing another method for determining radio resource utilization according to some exemplary embodiments
  • Fig. 3 is a block diagram of an apparatus for determining radio resource utilization according to some exemplary embodiments
  • Fig. 4 is a block diagram of an electronic device according to some exemplary embodiments.
  • At least one of the following or similar expressions refer to any combination of these items, including any combination of single or plural items.
  • at least one item (piece) of a, b, or c can represent: a, b, c, a-b, a-c, b-c, or a-b-c, where a, b, c can be single or multiple .
  • words such as “first” and “second” are used to distinguish the same or similar items with basically the same function and effect.
  • words such as “first” and “second” do not limit the number and execution order, and words such as “first” and “second” do not necessarily limit the difference.
  • words such as “exemplary” or “for example” are used as examples, illustrations or illustrations. Any embodiment or design scheme described as “exemplary” or “for example” in the embodiments of the present application shall not be interpreted as being more preferred or more advantageous than other embodiments or design schemes.
  • the use of words such as “exemplary” or “such as” is intended to present related concepts in a concrete manner for easy understanding.
  • the network architecture and business scenarios described in the embodiments of the present application are for more clearly illustrating the technical solutions of the embodiments of the present application, and do not constitute limitations on the technical solutions provided by the embodiments of the present application. With the evolution of the network architecture and the emergence of new business scenarios, the technical solutions provided in the embodiments of the present application are also applicable to similar technical problems.
  • the network wireless resource utilization reflects the resource occupation of the network.
  • the current calculation of the wireless resource utilization rate of the 5G network is based on the maximum capacity of the cell: each time slot is calculated according to 273 PRBs, the maximum number of downlink configuration layers is 16 layers, and the maximum number of uplink configuration layers is 8 layers.
  • the 5G network is currently only based on the maximum capacity of the network when calculating the utilization rate of wireless resources, that is, the full bandwidth PRB and the maximum number of configuration layers.
  • the maximum capacity of the network due to the geographical environment of the cell, the actual distribution of users, The actual capacity of the cell is changing dynamically, such as the occurrence time of the business. If the wireless resource utilization is only calculated based on the maximum capacity of the network, the calculation result will be too low, unable to truly and effectively reflect the load of the network, and lose the reference value.
  • the present disclosure provides a method for determining the utilization rate of wireless resources, by using the maximum number of scheduling layers in the statistical cycle of the cell to calculate the wireless resources occupied by the channel non-spatial division and the available wireless resources of the channel, and then according to the wireless resources occupied by the non-spatial division of the channel Resource and channel space occupy wireless resources and channel available wireless resources to determine the utilization rate of wireless resources, considering the geographical environment of the cell and the actual distribution of users to limit the capacity of wireless resources in the cell, thus improving the accuracy of the calculation results of the utilization rate of wireless resources , which can truly and effectively reflect the load situation of the network.
  • SU-MIMO Single User Multiple Input Multiple Output
  • MU-MIMO that is, "Multiple User Multiple Input Multiple Output": On the basis of SU-MIMO, a multi-user simultaneous communication mechanism is added. Multiple users share the same time-frequency resource through space division. Multi-user scheduling obtains additional multi-user diversity gain. At the same time and in the same frequency band, the router can communicate with multiple client devices, so MU-MIMO can utilize all wireless bandwidth and improve network resource utilization in the case of multi-user access.
  • the network can control whether to enable MU-MIMO through a switch.
  • the channel refers to the physical downlink shared channel (Physical Downlink Shared Channel, PDSCH) and the physical uplink shared channel (Physical Uplink Shared Channel, PUSCH).
  • PDSCH Physical Downlink Shared Channel
  • PUSCH Physical Uplink Shared Channel
  • An electronic device can be a terminal device or a server.
  • the terminal device may be a smart phone, a tablet computer, a handheld computer, a vehicle terminal, a desktop computer, a notebook computer, and the like.
  • the server may be any server or server cluster, which is not limited in the present disclosure.
  • Fig. 1 is a flow chart showing a method for determining radio resource utilization according to an exemplary embodiment, and the method is applicable to electronic devices. As shown in Fig. 1, the method for determining the utilization rate of radio resources includes S101-S105.
  • the communication data within the statistical period of the cell is acquired, and the communication data includes: the total number of PRBs occupied by channel non-spatial division of each time slot, the total number of PRBs occupied by channel space division of each time slot, and the maximum scheduling of each time slot The number of layers and the total number of available PRBs for the channel.
  • each time slot is 0.5 ms. That is to say, in the embodiment of the present disclosure, each time slot is 0.5ms.
  • the statistical period may be any one of 0.1 minutes, 30 minutes, 60 minutes, and 120 minutes.
  • the present disclosure is not limited herein.
  • the number of time slots in the statistical period is a fixed value.
  • the wireless resource occupied by the channel in the statistical period in non-spatial division satisfies the following formula:
  • T1 represents the wireless resources occupied by non-spatial channels in the statistical period
  • i represents the i-th time slot in the statistical period
  • PRB i represents the total number of PRBs occupied by non-spatial channels in the i-th time slot
  • Layer i represents the i-th time slot in the statistical period
  • the maximum number of scheduling layers for a time slot, n is a positive integer.
  • Layer i is a positive integer.
  • the total number of PRBs occupied by the channel space division of each time slot includes the number of PRBs occupied by the channel space division of layer j occupied by each time slot, j is a positive integer, and j represents the number of actually occupied layers.
  • the wireless resources occupied by channel space division within the statistical period satisfy the following formula:
  • T2 represents the wireless resources occupied by channel space division in the statistical period
  • i represents the i-th time slot in the statistical period
  • PRB i,j represents the number of PRBs occupied by the channel space division of layer j occupied by the i-th time slot
  • j represents the occupied Number of layers
  • n is a positive integer
  • m is a positive integer
  • j is a positive integer.
  • the average maximum number of scheduling layers in the statistical period is first determined according to the maximum number of scheduling layers in each time slot, and then the average maximum number of scheduling layers in the statistical period is determined according to the total number of PRBs available for the channel and the average maximum number of scheduling layers in the statistical period.
  • Channel available radio resources are first determined according to the maximum number of scheduling layers in each time slot, and then the average maximum number of scheduling layers in the statistical period is determined according to the total number of PRBs available for the channel and the average maximum number of scheduling layers in the statistical period.
  • the average maximum number of scheduling layers in a statistical period satisfies the following formula:
  • L represents the average maximum number of scheduling layers in the statistical period
  • i represents the i-th time slot in the statistical cycle
  • Layer i represents the maximum number of scheduling layers in the i-th time slot
  • k represents the number of time slots with the maximum number of scheduling layers
  • n is a positive integer
  • Layer i is a positive integer
  • k is a positive integer.
  • the available radio resources of the channel within the statistical period satisfy the following formula:
  • T3 represents the available radio resources of the channel in the statistical period
  • L represents the average maximum number of scheduling layers in the statistical period
  • n represents the number of time slots in the statistical period
  • n is a positive integer
  • B represents the configured number of PRBs in each time slot.
  • B is configured with the maximum number of PRBs in 5G NR, that is, B is 273 PRBs.
  • the wireless resource utilization rate is determined according to the wireless resources occupied by non-spatial channels in the statistical period, the wireless resources occupied by the spatial division of channels in the statistical period, and the available wireless resources of the channels in the statistical period.
  • the radio resource utilization satisfies the following formula:
  • Radio resource utilization ratio (radio resources occupied by non-spatial channels in the statistical period + radio resources occupied by spaced channels in the statistical period) / available radio resources of the channel in the statistical period.
  • the cell is a MU-MIMO cell. Assume that there are 3 time slots in the statistical period. In the first time slot, 30 PRBs occupy Layer 2, 30 PRBs occupy Layer 3, and 100 PRBs occupy Layer 5. In the second time slot, 40 PRBs occupy layer 1, 70 PRBs occupy layer 3, and 90 PRBs occupy layer 6. The third time slot is not occupied.
  • the cell is a MU-MIMO cell.
  • 3 time slots there are 3 time slots in the statistical period.
  • 10 PRBs that are not empty, 30 PRBs occupy 2 layers, 30 PRBs occupy 3 layers, and 100 PRBs occupy 5 layers.
  • 20 PRBs are non-empty, 40 PRBs occupy 1 layer, 70 PRBs occupy 3 layers, and 90 PRBs occupy 6 layers.
  • the third time slot is not occupied.
  • the non-spatial channels in the statistical period occupy wireless resources Radio resources occupied by channel space division within the statistical period
  • the cell is a MU-MIMO cell.
  • the statistical period is 3 time slots.
  • 30 PRBs occupy the 2nd layer, 30 PRBs occupy the 3rd layer, and 100 PRBs occupy the 5th layer;
  • in the second time slot there are 40 PRBs Occupies 1 layer, 70 PRBs occupy 3 layers, 90 PRBs occupy 6 layers;
  • in the third time slot 50 PRBs occupy 2 layers, 80 PRBs occupy 3 layers, 80 PRBs occupy 7 layer.
  • the channel non-spatial occupied wireless resources and channel available wireless resources are calculated by using the maximum number of scheduling layers in the cell statistical period, and then according to the channel non-spatial occupied wireless resources, the channel space occupied wireless resources and the channel available wireless resources
  • the resource determines the wireless resource utilization, considering the geographical environment of the cell and the actual distribution of users to limit the wireless resource capacity of the cell, so that the accuracy of the calculation result of the wireless resource utilization is improved, and it can truly and effectively reflect the load of the network.
  • the method for determining the utilization rate of radio resources further includes S106-S109.
  • the MIMO configuration information includes at least one of first configuration information, second configuration information, and third configuration information.
  • the first configuration information corresponds to enabling only the SU-MIMO mode.
  • the second configuration information corresponds to enabling only the MU-MIMO mode.
  • the third configuration information corresponds to simultaneously enabling the SU-MIMO mode and the MU-MIMO mode.
  • the MIMO configuration information of different cells is different.
  • the MU-MIMO mode is enabled for cells corresponding to the second configuration information and the third configuration information.
  • the cell is a MU-MIMO cell.
  • the first configuration information confirms that the cell does not enable the MU-MIMO mode.
  • the cell is a SU-MIMO cell.
  • the total number of PRBs occupied by the channel may be the total number of PRBs occupied by the downlink PDSCH channel of the cell.
  • the total number of PRBs occupied by the channel may be the total number of PRBs occupied by the uplink PUSCH channel of the cell.
  • the total number of channel occupied PRBs is the average number of the total number of PRBs occupied by the downlink PDSCH channel of the cell and the total number of PRBs occupied by the uplink PUSCH channel of the cell.
  • the radio resource utilization rate is determined according to the total number of PRBs occupied by the channel and the total number of PRBs available for the channel within the statistical period.
  • the cell is in SU-MIMO mode.
  • the total number of PRBs occupied by the downlink PDSCH channel of the cell is 200
  • the total number of PRBs occupied by the uplink PUSCH channel of the cell is 210
  • the total number of PRBs occupied by the cell channel is 205
  • the total number of available PRBs of the cell channel is 273.
  • the wireless resource utilization rate by determining the calculation method of the wireless resource utilization rate according to whether the MU-MIMO mode is enabled in the cell, different calculation methods of the wireless resource utilization rate are configured for the SU-MIMO cell and the MU-MIMO cell.
  • the wireless resource utilization rate can be quickly determined by the total number of PRBs occupied by the channel and the total number of PRBs available for the channel, and the accuracy and efficiency of the calculation of the wireless resource utilization rate can be improved.
  • the wireless resource utilization rate of 5G networks considers time-frequency resources and airspace resources at the same time, and considers the geographical environment of the cell and the actual distribution of users to limit the wireless resource capacity of the cell. 1.
  • the wireless resources occupied by the channel space within the statistical period and the available wireless resources of the channel within the statistical period are determined to determine the utilization rate of wireless resources, which improves the accuracy of the calculation results of the utilization rate of wireless resources and can truly and effectively reflect the load of the network.
  • the implementation of this application also proposes another method for determining the utilization rate of radio resources.
  • the method for determining the utilization rate of radio resources includes S201-S204.
  • S201 Obtain communication data within a statistical period of the cell, where the communication data includes: the total number of PRBs occupied by channel space division in each time slot, the maximum number of scheduling layers in each time slot, and the total number of channel available PRBs.
  • S202 Determine radio resources occupied by channel space within a statistical period according to the total number of PRBs occupied by channel space in each time slot.
  • S203 According to the total number of PRBs available for the channel and the maximum number of scheduling layers for each time slot, determine the radio resources available for the channel within the statistical period.
  • S204 Determine the radio resource utilization rate according to the radio resources occupied by channel space division in the statistical period and the available radio resources of the channel in the statistical period.
  • the radio resource utilization satisfies the following formula:
  • Radio resource utilization ratio radio resources occupied by channel space division in the statistical period/available radio resources of the channel in the statistical period.
  • the cell is a MU-MIMO cell. Assume that there are 3 time slots in the statistical period. In the first time slot, 30 PRBs occupy Layer 2, 30 PRBs occupy Layer 3, and 100 PRBs occupy Layer 5. In the second time slot, 40 PRBs occupy layer 1, 70 PRBs occupy layer 3, and 90 PRBs occupy layer 6. The third time slot is not occupied.
  • the channel space division in the statistical period occupies wireless resources
  • the cell is a MU-MIMO cell.
  • the statistical period is 3 time slots.
  • 30 PRBs occupy the 2nd layer, 30 PRBs occupy the 3rd layer, and 100 PRBs occupy the 5th layer;
  • in the second time slot there are 40 PRBs Occupies 1 layer, 70 PRBs occupy 3 layers, 90 PRBs occupy 6 layers;
  • in the third time slot 50 PRBs occupy 2 layers, 80 PRBs occupy 3 layers, 80 PRBs occupy 7 layer.
  • the channel space division within the statistical period occupies wireless resources
  • the available radio resources of the channel are calculated by using the maximum number of scheduling layers in the statistical period of the cell, and then the utilization rate of the radio resources is determined according to the radio resources occupied by the channel space division and the available radio resources of the channel, taking into account the geographical environment of the cell and the user's
  • the actual distribution limits the wireless resource capacity of the cell, so that the accuracy of the calculation result of the wireless resource utilization rate is improved, and it can truly and effectively reflect the load situation of the network.
  • the implementation of this application also proposes a method for determining the average maximum number of scheduling layers within a statistical period.
  • the method for determining the utilization rate of radio resources includes S301.
  • L represents the average maximum number of scheduling layers in the statistical period
  • i represents the i-th time slot in the statistical cycle
  • Layer i represents the maximum number of scheduling layers in the i-th time slot
  • k represents the number of time slots with the maximum number of scheduling layers
  • n is a positive integer
  • Layer i is a positive integer
  • k is a positive integer.
  • the embodiment of the present disclosure also provides a device for determining the utilization rate of radio resources.
  • Fig. 3 is a block diagram of an apparatus for determining radio resource utilization according to an exemplary embodiment.
  • the device includes an acquisition module 301 and a determination module 302 .
  • the acquiring module 301 is configured to acquire the communication data within the statistical period of the cell, and the communication data includes: the total number of PRBs occupied by channel non-spatial division of each time slot, the total number of PRBs occupied by channel space division of each time slot, and the total number of PRBs occupied by channel space division of each time slot.
  • the maximum number of scheduling layers for a slot and the total number of available PRBs for a channel may be used to execute S101.
  • the determining module 302 is configured to determine radio resources occupied by non-spatial channels within a statistical period according to the total number of PRBs occupied by non-spatial channels in each time slot and the maximum number of scheduling layers in each time slot. For example, referring to FIG. 1 , the determination module 302 may be used to execute S102.
  • the determining module 302 is further configured to determine radio resources occupied by channel space within a statistical period according to the total number of PRBs occupied by channel space in each time slot. For example, referring to FIG. 1 , the determining module 302 may be used to execute S103.
  • the determination module 302 is further configured to determine available radio resources of the channel within a statistical period according to the total number of available PRBs of the channel and the maximum number of scheduling layers of each time slot. For example, referring to FIG. 1 , the determining module 302 may be used to execute S104.
  • the determining module 302 is further configured to determine the radio resource utilization rate according to the radio resources occupied by non-spatial channels in the statistical period, the radio resources occupied by the spaced channel in the statistical period, and the available radio resources of the channel in the statistical period. For example, referring to FIG. 1 , the determination module 302 may be used to execute S105.
  • the wireless resource occupied by the channel in the statistical period in non-spatial division satisfies the following formula:
  • T1 represents the wireless resources occupied by non-spatial channels in the statistical period
  • i represents the i-th time slot in the statistical period
  • PRB i represents the total number of PRBs occupied by non-spatial channels in the i-th time slot
  • Layer i represents the i-th time slot in the statistical period
  • the maximum number of scheduling layers for a time slot, n is a positive integer.
  • the wireless resources occupied by channel space division within the statistical period satisfy the following formula:
  • T2 represents the wireless resources occupied by channel space division in the statistical period
  • i represents the i-th time slot in the statistical period
  • PRB i,j represents the number of PRBs occupied by the channel space division of layer j occupied by the i-th time slot
  • j represents the occupied Number of layers
  • n is a positive integer
  • m is a positive integer
  • j is a positive integer.
  • the determining module is specifically configured to execute: determine the average maximum number of scheduling layers in the statistical period according to the maximum number of scheduling layers in each time slot; The number of layers determines the available wireless resources of the channel within the statistical period.
  • the average maximum number of scheduling layers in a statistical period satisfies the following formula:
  • L represents the average maximum number of scheduling layers in the statistical period
  • i represents the i-th time slot in the statistical cycle
  • Layer i represents the maximum number of scheduling layers in the i-th time slot
  • k represents the number of time slots with the maximum number of scheduling layers
  • n is a positive integer
  • Layer i is a positive integer
  • k is a positive integer.
  • the available radio resources of the channel within the statistical period satisfy the following formula:
  • T3 represents the available radio resources of the channel in the statistical period
  • L represents the average maximum number of scheduling layers in the statistical period
  • n represents the number of time slots in the statistical period
  • n is a positive integer
  • B represents the configured number of PRBs in each time slot.
  • the radio resource utilization satisfies the following formula:
  • Radio resource utilization ratio (radio resources occupied by non-spatial channels in the statistical period + radio resources occupied by spaced channels in the statistical period) / available radio resources of the channel in the statistical period.
  • the device for determining radio resource utilization further includes a configuration module configured to: acquire MIMO configuration information of the cell; determine whether the cell has enabled the MU-MIMO mode according to the MIMO configuration information; determine whether the cell has When the MU-MIMO mode is turned on, the communication data in the statistical period of the cell is obtained.
  • the configuration module is further configured to execute: when it is determined that the cell does not enable the MU-MIMO mode, obtain the total number of PRBs occupied by the channel and the total number of PRBs available for the channel within the statistical period; The total number of PRBs occupied by the channel and the total number of PRBs available for the channel determine the utilization rate of wireless resources.
  • FIG. 4 is a block diagram of an electronic device 400 according to an exemplary embodiment.
  • an electronic device 400 includes, but is not limited to: a processor 401 and a memory 402 .
  • the above-mentioned memory 402 is used for storing executable instructions of the above-mentioned processor 401 . It can be understood that the foregoing processor 401 is configured to execute instructions, so as to implement the method for determining radio resource utilization shown in any one of FIG. 1 or FIG. 2 of the foregoing embodiment.
  • the structure of the electronic device shown in FIG. 4 does not constitute a limitation on the electronic device, and the electronic device may include more or less components than those shown in FIG. 4 , or combine certain components, or a different arrangement of components.
  • the processor 401 is the control center of the electronic device, and uses various interfaces and lines to connect various parts of the entire electronic device, by running or executing software programs and/or modules stored in the memory 402, and calling data stored in the memory 402 , to perform various functions of the electronic equipment and process data, so as to monitor the electronic equipment as a whole.
  • the processor 401 may include one or more processing units; optionally, the processor 401 may integrate an application processor and a modem processor, wherein the application processor mainly processes the operating system, user interface and application programs, etc., and the modem
  • the tuner processor mainly handles wireless communication. It can be understood that the foregoing modem processor may not be integrated into the processor 401 .
  • the memory 402 can be used to store software programs as well as various data.
  • the memory 402 may mainly include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application program required by at least one functional module (such as the acquisition module 301 and the determination module 802, etc.) and the like.
  • the memory 402 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one magnetic disk storage device, flash memory device, or other volatile solid-state storage devices.
  • an embodiment of the present disclosure further provides a computer-readable storage medium including instructions, such as a memory 402 including instructions.
  • the above instructions can be executed by the processor 401 of the electronic device 400 to complete the diagrams of the above embodiments. 1 or the radio resource utilization rate determination method shown in any one of FIG. 2 .
  • the obtaining module 301 and the determining module 802 may be implemented by the processor 401 shown in FIG. 4 calling program codes in the memory 402 .
  • the specific execution process reference may be made to the description of the method for determining the utilization rate of radio resources shown in any one of FIG. 1 or FIG. 2 , which will not be repeated here.
  • the computer-readable storage medium may be a non-transitory computer-readable storage medium, for example, the non-transitory computer-readable storage medium may be a read-only memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), CD-ROM, magnetic tape, floppy disk and optical data storage devices, etc.
  • ROM Read-Only Memory
  • RAM Random Access Memory
  • CD-ROM Compact Disc-ROM
  • magnetic tape magnetic tape
  • floppy disk and optical data storage devices
  • each process of the above-mentioned embodiment of the method for determining the utilization rate of wireless resources can be achieved, and can achieve the same as that shown in FIG. 1 or FIG. 1 of the above-mentioned embodiment.
  • the method for determining the utilization rate of radio resources shown in any one of 2 has the same technical effect, and to avoid repetition, details are not repeated here.

Landscapes

  • Engineering & Computer Science (AREA)
  • Signal Processing (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Mathematical Analysis (AREA)
  • Algebra (AREA)
  • General Physics & Mathematics (AREA)
  • Physics & Mathematics (AREA)
  • Mathematical Optimization (AREA)
  • Mathematical Physics (AREA)
  • Probability & Statistics with Applications (AREA)
  • Pure & Applied Mathematics (AREA)
  • Mobile Radio Communication Systems (AREA)
  • Time-Division Multiplex Systems (AREA)

Abstract

本公开关于一种无线资源利用率确定方法、装置、电子设备及存储介质，涉及通信技术领域。该方法包括获取小区的统计周期内的通信数据；根据每个时隙的信道非空分占用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道非空分占用无线资源；根据每个时隙的信道空分占用PRB总数，确定统计周期内的信道空分占用无线资源；根据信道可用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道可用无线资源；根据统计周期内的信道非空分占用无线资源、统计周期内的信道空分占用无线资源和统计周期内的信道可用无线资源，确定无线资源利用率。

Description

无线资源利用率确定方法、装置、电子设备及存储介质
本申请要求于2021年07月27日提交国家知识产权局、申请号为202110860391.4、申请名称为“无线资源利用率确定方法、装置、电子设备及存储介质”的中国专利申请的优先权，其全部内容通过引用结合在本申请中。
技术领域
本公开涉及通信技术领域，尤其涉及一种无线资源利用率确定方法、装置、电子设备及存储介质。
背景技术
相关技术中，5G网络是基于网络最大能力计算无线资源利用率，即基于全带宽物理资源块(Physical Resource Block，PRB)和最大配置层数计算无线资源利用率。这种方法确定的无线资源利用率，存在无线资源利用率过低，无法真实、有效反应网络的负荷情况的问题。
发明内容
本申请实施例提供一种无线资源利用率确定方法、装置、电子设备及存储介质，以至少解决相关技术中存在的无线资源利用率过低，无法真实、有效反应网络的负荷情况的问题。
为达到上述目的，本申请的实施例采用如下技术方案：
根据本公开的第一方面，提供一种无线资源利用率确定方法，包括：获取小区的统计周期内的通信数据，通信数据包括：每个时隙的信道非空分占用PRB总数、每个时隙的信道空分占用PRB总数、每个时隙的最大调度层数和信道可用PRB总数；根据每个时隙的信道非空分占用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道非空分占用无线资源；根据每个时隙的信道空分占用PRB总数，确定统计周期内的信道空分占用无线资源；根据信道可用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道可用无线资源；根据统计周期内的信道非空分占用无线资源、统计周期内的信道空分占用无线资源和统计周期内的信道可用无线资源，确定无线资源利用率。
在一种可能的实施方式中，统计周期内的信道非空分占用无线资源满足以下公式：
Figure PCTCN2022097949-appb-000001
T1表征统计周期内的信道非空分占用无线资源，i表征统计周期内的第i个时隙，PRB i表征第i个时隙信道非空分占用PRB总数，Layer i表征统计周期内第i个时隙的最大调度层数，n为正整数。
另一种可能的实施方式中，统计周期内的信道空分占用无线资源满足以下公式：
Figure PCTCN2022097949-appb-000002
T2表征统计周期内的信道空分占用无线资源，i表征统计周期内的第i个时隙，PRB i,j表征第i个时隙占用j层的信道空分占用PRB数量，j表征占用的层数，n为正整数，m为正整数，j为正整数。
另一种可能的实施方式中，根据信道可用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道可用无线资源，包括：根据每个时隙的最大调度层数，确定统计周期内平均最大调度层数；根据信道可用PRB总数和统计周期内平均最大调度层数，确定统计周期内的信道可用无线资源。
另一种可能的实施方式中，统计周期内平均最大调度层数满足以下公式：
Figure PCTCN2022097949-appb-000003
L表征统计周期内平均最大调度层数，i表征统计周期内的第i个时隙，Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
另一种可能的实施方式中，统计周期内的信道可用无线资源满足以下公式：
T3＝B*L*n
T3表征统计周期内的信道可用无线资源，L表征统计周期内平均最大调度层数，n表征统计周期内的时隙个数，n为正整数,B表征每个时隙PRB的配置数量。
另一种可能的实施方式中，无线资源利用率满足以下公式：
无线资源利用率＝(统计周期内的信道非空分占用无线资源+统计周期内的信道空分占用无线资源)/统计周期内的信道可用无线资源。
另一种可能的实施方式中，获取小区的统计周期内的通信数据之前，无线资源利用率确定方法还包括：获取小区的MIMO配置信息；根据MIMO配置信息，确定小区是否开启MU-MIMO模式；在确定小区已开启MU-MIMO模式的情况下，获取小区的统计周期内的通信数据。
另一种可能的实施方式中，无线资源利用率确定方法还包括：在确定小区未开启MU-MIMO模式的情况下，获取统计周期内的信道占用PRB总数和信道可用PRB总数；根据统计周期内的信道占用PRB总数和信道可用PRB总数，确定无线资源利用率。
根据本公开的第二方面，提供一种无线资源利用率确定方法，包括：获取小区的统计周期内的通信数据，通信数据包括：每个时隙的信道空分占用PRB总数、每个时隙的最大调度层数和信道可用PRB总数；根据每个时隙的信道空分占用PRB总数，确定统计周期内的信道空分占用无线资源；根据信道可用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道可用无线资源；根据统计周期内的信道空分占用无线资源和统计周期内的信道可用无线资源，确定无线资源利用率。
在一种可能的实施方式中，统计周期内的信道空分占用无线资源满足以下公式：
Figure PCTCN2022097949-appb-000004
T2表征统计周期内的信道空分占用无线资源，i表征统计周期内的第i个时隙， PRB i,j表征第i个时隙占用j层的信道空分占用PRB数量，j表征占用的层数，n为正整数，m为正整数，j为正整数。
另一种可能的实施方式中，根据信道可用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道可用无线资源，包括：根据每个时隙的最大调度层数，确定统计周期内平均最大调度层数；根据信道可用PRB总数和统计周期内平均最大调度层数，确定统计周期内的信道可用无线资源。
另一种可能的实施方式中，统计周期内平均最大调度层数满足以下公式：
Figure PCTCN2022097949-appb-000005
L表征统计周期内平均最大调度层数，i表征统计周期内的第i个时隙，Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
另一种可能的实施方式中，统计周期内的信道可用无线资源满足以下公式：
T3＝B*L*n
T3表征统计周期内的信道可用无线资源，L表征统计周期内平均最大调度层数，n表征统计周期内的时隙个数，n为正整数,B表征每个时隙PRB的配置数量。
另一种可能的实施方式中，统计周期内的信道可用无线资源满足以下公式：
Figure PCTCN2022097949-appb-000006
T3表征统计周期内的信道可用无线资源，L表征统计周期内平均最大调度层数，i表征统计周期内的第i个时隙，n表征统计周期内的时隙个数，n为正整数,B i表征第i个时隙PRB的配置数量。
另一种可能的实施方式中，无线资源利用率满足以下公式：
无线资源利用率＝统计周期内的信道空分占用无线资源/统计周期内的信道可用无线资源。
另一种可能的实施方式中，获取小区的统计周期内的通信数据之前，无线资源利用率确定方法还包括：获取小区的MIMO配置信息；根据MIMO配置信息，确定小区是否开启MU-MIMO模式；在确定小区已开启MU-MIMO模式的情况下，获取小区的统计周期内的通信数据。
另一种可能的实施方式中，无线资源利用率确定方法还包括：在确定小区未开启MU-MIMO模式的情况下，获取统计周期内的信道占用PRB总数和信道可用PRB总数；根据统计周期内的信道占用PRB总数和信道可用PRB总数，确定无线资源利用率。
根据本公开的第三方面，提供一种统计周期内平均最大调度层数的确定方法，包括：
根据每个时隙的最大调度层数，确定统计周期内平均最大调度层数；统计周期内平均最大调度层数满足以下公式：
Figure PCTCN2022097949-appb-000007
L表征统计周期内平均最大调度层数，i表征统计周期内的第i个时隙，Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
根据本公开的第四方面，提供一种无线资源利用率确定装置，包括：获取模块，被配置为执行获取小区的统计周期内的通信数据，通信数据包括：每个时隙的信道非空分占用PRB总数、每个时隙的信道空分占用PRB总数、每个时隙的最大调度层数和信道可用PRB总数；确定模块，被配置为执行根据每个时隙的信道非空分占用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道非空分占用无线资源；确定模块，还被配置执行根据每个时隙的信道空分占用PRB总数，确定统计周期内的信道空分占用无线资源；确定模块，还被配置执行根据信道可用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道可用无线资源；确定模块，还被配置执行根据统计周期内的信道非空分占用无线资源、统计周期内的信道空分占用无线资源和统计周期内的信道可用无线资源，确定无线资源利用率。
在一种可能的实施方式中，统计周期内的信道非空分占用无线资源满足以下公式：
Figure PCTCN2022097949-appb-000008
T1表征统计周期内的信道非空分占用无线资源，i表征统计周期内的第i个时隙，PRB i表征第i个时隙信道非空分占用PRB总数，Layer i表征统计周期内第i个时隙的最大调度层数，n为正整数。
另一种可能的实施方式中，统计周期内的信道空分占用无线资源满足以下公式：
Figure PCTCN2022097949-appb-000009
T2表征统计周期内的信道空分占用无线资源，i表征统计周期内的第i个时隙，PRB i,j表征第i个时隙占用j层的信道空分占用PRB数量，j表征占用的层数，n为正整数，m为正整数，j为正整数。
另一种可能的实施方式中，确定模块具体被配置为执行：根据每个时隙的最大调度层数，确定统计周期内平均最大调度层数；根据信道可用PRB总数和统计周期内平均最大调度层数，确定统计周期内的信道可用无线资源。
另一种可能的实施方式中，统计周期内平均最大调度层数满足以下公式：
Figure PCTCN2022097949-appb-000010
L表征统计周期内平均最大调度层数，i表征统计周期内的第i个时隙，Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
另一种可能的实施方式中，统计周期内的信道可用无线资源满足以下公式：
T3＝B*L*n
T3表征统计周期内的信道可用无线资源，L表征统计周期内平均最大调度层数， n表征统计周期内的时隙个数，n为正整数,B表征每个时隙PRB的配置数量。
另一种可能的实施方式中，无线资源利用率满足以下公式：
无线资源利用率＝(统计周期内的信道非空分占用无线资源+统计周期内的信道空分占用无线资源)/统计周期内的信道可用无线资源。
另一种可能的实施方式中，无线资源利用率确定装置还包括配置模块，被配置为执行：获取小区的MIMO配置信息；根据MIMO配置信息，确定小区是否开启MU-MIMO模式；在确定小区已开启MU-MIMO模式的情况下，获取小区的统计周期内的通信数据。
另一种可能的实施方式中，配置模块还被配置为执行：在确定小区未开启MU-MIMO模式的情况下，获取统计周期内的信道占用PRB总数和信道可用PRB总数；根据统计周期内的信道占用PRB总数和信道可用PRB总数，确定无线资源利用率。
根据本公开的第五方面，提供一种电子设备，包括：处理器；用于存储处理器可执行指令的存储器；其中，处理器被配置为执行指令，以实现上述第一方面及其任一种可能的实施方式的无线资源利用率确定方法。
根据本公开的第六方面，提供一种计算机可读存储介质，当计算机可读存储介质中的指令由电子设备的处理器执行时，使得电子设备能够执行上述第一方面中及其任一种可能的实施方式的无线资源利用率确定方法。
本公开的提供的技术方案至少带来以下有益效果：通过使用小区统计周期内的最大调度层数计算信道非空分占用无线资源和信道可用无线资源，进而根据信道非空分占用无线资源、信道空分占用无线资源和信道可用无线资源确定无线资源利用率，考虑了小区的地理环境和用户的实际分布对小区无线资源容量的限制，从而使得无线资源利用率的计算结果准确率提高，能够真实有效的反应网络的负荷情况。
应当理解的是，以上的一般描述和后文的细节描述仅是示例性和解释性的，并不能限制本公开。
附图说明
图1是根据一些示例性实施例示出的一种无线资源利用率确定方法的流程图；
图2是根据一些示例性实施例示出的另一种无线资源利用率确定方法的流程图；
图3是根据一些示例性实施例示出的一种无线资源利用率确定装置的框图；
图4是根据一些示例性实施例示出的一种电子设备的框图。
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描述。其中，在本申请的描述中，除非另有说明，“/”表示前后关联的对象是一种“或”的关系，例如，A/B可以表示A或B；本申请中的“和/或”仅仅是一种描述关联对象的关联关系，表示可以存在三种关系，例如，A和/或B，可以表示：单独存在A，同时存在A和B，单独存在B这三种情况，其中A,B可以是单数或者复数。并且，在本申请的描述中，除非另有说明，“多个”是指两个或多于两个。“以下至少一项(个)”或其类似表达，是指的这些项中的任意组合，包括单项(个)或复数项(个)的任意组合。例如，a，b，或c中的至少一项(个)，可以表示：a，b，c，a-b，a-c，b-c，或a-b-c，其中a，b， c可以是单个，也可以是多个。另外，为了便于清楚描述本申请实施例的技术方案，在本申请的实施例中，采用了“第一”、“第二”等字样对功能和作用基本相同的相同项或相似项进行区分。本领域技术人员可以理解“第一”、“第二”等字样并不对数量和执行次序进行限定，并且“第一”、“第二”等字样也并不限定一定不同。同时，在本申请实施例中，“示例性的”或者“例如”等词用于表示作例子、例证或说明。本申请实施例中被描述为“示例性的”或者“例如”的任何实施例或设计方案不应被解释为比其它实施例或设计方案更优选或更具优势。确切而言，使用“示例性的”或者“例如”等词旨在以具体方式呈现相关概念，便于理解。
此外，本申请实施例描述的网络架构以及业务场景是为了更加清楚的说明本申请实施例的技术方案，并不构成对于本申请实施例提供的技术方案的限定，本领域普通技术人员可知，随着网络架构的演变和新业务场景的出现，本申请实施例提供的技术方案对于类似的技术问题，同样适用。
在对本公开提供的确定方法、装置、电子设备及存储介质进行详细介绍之前，先对本公开涉及的应用场景、实施环境和相关要素进行简单介绍。
首先，对本公开涉及的应用场景进行简单介绍。
网络无线资源利用率反应网络的资源占用情况。当前对于5G网络无线资源利用率的计算是基于小区的最大能力：每个时隙按照273个PRB，下行最大配置层数为16层，上行最大配置层数为8层计算。具体计算公式为：无线资源利用率＝(信道非空分占用PRB总数*小区配置层数+信道空分占用PRB总数)/(信道PRB可用总数×小区配置层数)×100％。
现有技术中，5G网络当前在计算无线资源利用率的时候只基于网络最大能力，即全带宽PRB和最大配置层数，但是在实际网络场景中，由于小区的地理环境、用户的实际分布、业务的发生时间等，小区的实际容量是在动态变化的。如果只根据网络最大能力计算无线资源利用率，会导致计算结果过低，无法真实有效反映网络的负荷情况，失去参考价值。
针对上述问题，本公开提供了一种无线资源利用率确定方法,通过使用小区统计周期内的最大调度层数计算信道非空分占用无线资源和信道可用无线资源，进而根据信道非空分占用无线资源、信道空分占用无线资源和信道可用无线资源确定无线资源利用率，考虑了小区的地理环境和用户的实际分布对小区无线资源容量的限制，从而使得无线资源利用率的计算结果准确率提高，能够真实有效的反应网络的负荷情况。
其次，对本公开涉及的相关要素进行简单介绍。
SU-MIMO(即“单用户多进多出”)：通过多链路同时传输的方式，提升路由器与客户端设备之间的网络通讯速率。但占用相同时频资源的多个并行的数据流只能发给同一个用户或从同一个用户发给基站，因此即便客户端设备不能完全占用路由器的无线带宽，那路由器也无法将剩余带宽分配给其它设备使用。
MU-MIMO(即“多用户多进多出”)：在SU-MIMO的基础上，添加了多用户同时通信机制，多个用户通过空分方式共享同一时频资源，系统可以通过空间维度的多用户调度获得额外的多用户分集增益。在同一时间和同一个频段内，路由器能够与多个客户端设备通信，因此MU-MIMO可以将全部的无线带宽利用起来，在多用户接入的 情况下，改善网络资源利用率。
需要说明的，网络可通过开关控制是否开启MU-MIMO。
信道是指物理下行共享信道(Physical Downlink Shared Channel，PDSCH)和物理上行共享信道(Physical Uplink Share Channel，PUSCH)。
再次，下面对本公开涉及的实施环境(实施架构)进行简单介绍。
本公开实施例提供的无线资源利用率确定方法可以应用于电子设备。电子设备可以是终端设备或服务器。其中，终端设备可以是智能手机、平板电脑、掌上电脑、车载终端、台式电脑以及笔记本电脑等。服务器可以是任意一个服务器或服务器集群，本公开对此不做限定。
为了便于理解，以下结合附图对本公开提供的无线资源利用率确定方法进行具体介绍。
图1是根据一示例性实施例示出的一种无线资源利用率确定方法的流程图，该方法适用于电子设备。如图1所示，无线资源利用率确定方法包括S101-S105。
在S101中，获取小区的统计周期内的通信数据，通信数据包括：每个时隙的信道非空分占用PRB总数、每个时隙的信道空分占用PRB总数、每个时隙的最大调度层数和信道可用PRB总数。
需要说明的，对于LTE无线帧结构，每时隙为0.5ms。也就是说，本公开实施例中，每个时隙为0.5ms。
在一种实施方式中，统计周期可以是0.1分钟、30分钟、60分钟、120分钟中的任一种。本公开在此不做限制。
可以理解的，在确定统计周期的时长后，统计周期内的时隙个数是个定值。
示例性，统计周期是0.1分钟，则统计周期内有12个时隙。
在S102中，根据每个时隙的信道非空分占用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道非空分占用无线资源。
示例性，统计周期内的信道非空分占用无线资源满足以下公式：
Figure PCTCN2022097949-appb-000011
T1表征统计周期内的信道非空分占用无线资源，i表征统计周期内的第i个时隙，PRB i表征第i个时隙信道非空分占用PRB总数，Layer i表征统计周期内第i个时隙的最大调度层数，n为正整数。
可选地，Layer i为正整数。
通过最大调度层数确定统计周期内的信道非空分占用无线资源，小区的地理环境和用户的实际分布对小区无线资源容量的限制，使得信道非空分占用无线资源的准确提高了，从而能够更加真实、有效地反应小区的无线资源利用率。
在S103中，根据每个时隙的信道空分占用PRB总数，确定统计周期内的信道空分占用无线资源。
可选地，每个时隙的信道空分占用PRB总数包括每个时隙占用j层的信道空分占用PRB数量，j为正整数，j表征实际占用层数。
示例性的，统计周期内的信道空分占用无线资源满足以下公式：
Figure PCTCN2022097949-appb-000012
T2表征统计周期内的信道空分占用无线资源，i表征统计周期内的第i个时隙，PRB i,j表征第i个时隙占用j层的信道空分占用PRB数量，j表征占用的层数，n为正整数，m为正整数，j为正整数。
在S104中，根据信道可用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道可用无线资源。
在一种实施方式中，先根据每个时隙的最大调度层数，确定统计周期内平均最大调度层数，再根据信道可用PRB总数和统计周期内平均最大调度层数，确定统计周期内的信道可用无线资源。
示例性的，统计周期内平均最大调度层数满足以下公式：
Figure PCTCN2022097949-appb-000013
L表征统计周期内平均最大调度层数，i表征统计周期内的第i个时隙，Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
示例性的，统计周期内的信道可用无线资源满足以下公式：
T3＝B*L*n
T3表征统计周期内的信道可用无线资源，L表征统计周期内平均最大调度层数，n表征统计周期内的时隙个数，n为正整数,B表征每个时隙PRB的配置数量。
需要说明的，本公开实施中，B取5G NR最大PRB数量配置，也即，B为273PRB。
在S105中，根据统计周期内的信道非空分占用无线资源、统计周期内的信道空分占用无线资源和统计周期内的信道可用无线资源，确定无线资源利用率。
示例性的，无线资源利用率满足以下公式：
无线资源利用率＝(统计周期内的信道非空分占用无线资源+统计周期内的信道空分占用无线资源)/统计周期内的信道可用无线资源。
在一个示例中，小区为MU-MIMO小区。假设统计周期内有3个时隙。第1个时隙，有30个PRB占用了2层，30个PRB占用了3层，100个PRB占用了5层。第2个时隙，有40个PRB占用了1层，70个PRB占用了3层，90个PRB占用了6层。第3个时隙，没有占用。
基于该示例，统计周期内不包括信道非空分占用无线资源，也即，统计周期内的信道非空分占用无线资源T1＝0，统计周期内的信道空分占用无线资源
Figure PCTCN2022097949-appb-000014
Figure PCTCN2022097949-appb-000015
统计周期内平均最大调度层
Figure PCTCN2022097949-appb-000016
统计周期内的信道可用无线资源T3＝B*L*n＝273*5.5*3＝4504.5。统计周期内的无线资源利用率＝(T1+T2)/T3＝(0+1440)/4504.5＝31.86％。
在一个示例中，小区为MU-MIMO小区。假设统计周期内有3个时隙，第1个时 隙，有10个PRB非空分，有30个PRB占用了2层，30个PRB占用了3层，100个PRB占用了5层。第2个时隙，有20个PRB非空分，有40个PRB占用了1层，70个PRB占用了3层，90个PRB占用了6层。第3个时隙，没有占用。
基于该示例，统计周期内的信道非空分占用无线资源
Figure PCTCN2022097949-appb-000017
Figure PCTCN2022097949-appb-000018
统计周期内的信道空分占用无线资源
Figure PCTCN2022097949-appb-000019
Figure PCTCN2022097949-appb-000020
统计周期内平均最大调度层
Figure PCTCN2022097949-appb-000021
统计周期内的信道可用无线资源T3＝B*L*n＝273*5.5*3＝4504.5。统计周期内的无线资源利用率＝(T1+T2)/T3＝(170+1440)/4504.5＝35.74％。
在一个示例中，小区为MU-MIMO小区。假设统计周期为3个时隙，第1个时隙，有30个PRB占用了2层，30个PRB占用了3层，100个PRB占用了5层；第2个时隙，有40个PRB占用了1层，70个PRB占用了3层，90个PRB占用了6层；第3个时隙，有50个PRB占用了2层，80个PRB占用了3层，80个PRB占用了7层。
基于上述示例，统计周期内的信道非空分占用无线资源T1＝0，统计周期内的信道空分占用无线资源
Figure PCTCN2022097949-appb-000022
Figure PCTCN2022097949-appb-000023
统计周期内平均最大调度层
Figure PCTCN2022097949-appb-000024
统计周期内的信道可用无线资源T3＝B*L*n＝273*6*3＝4914。统计周期内的无线资源利用率＝(T1+T2)/T3＝(0+2340)/4914＝47.62％。
上述实施例中，通过使用小区统计周期内的最大调度层数计算信道非空分占用无线资源和信道可用无线资源，进而根据信道非空分占用无线资源、信道空分占用无线资源和信道可用无线资源确定无线资源利用率，考虑了小区的地理环境和用户的实际分布对小区无线资源容量的限制，从而使得无线资源利用率的计算结果准确率提高，能够真实有效的反应网络的负荷情况。
在一种可能的实施方式中，结合图1，如图2所示，获取小区的统计周期内的通信数据之前，无线资源利用率确定方法还包括S106-S109。
在S106中，获取小区的MIMO配置信息。
可选地，MIMO配置信息包括第一配置信息、第二配置信息和第三配置信息中至少一种。
示例性的，第一配置信息对应仅开启SU-MIMO模式。第二配置信息对应仅开启MU-MIMO模式。第三配置信息对应同时开启SU-MIMO模式和MU-MIMO模式。
在一种实施方式中，不同小区的MIMO配置信息不同。
在S107中，根据MIMO配置信息，判断小区是否开启MU-MIMO模式。在判断结果为是的情况下，执行S101，在判断结果为否的情况下，执行S108。
在一种实施方式中，将第二配置信息和第三配置信息对应小区开启MU-MIMO模式。此时，小区为MU-MIMO小区。
在另一种实施方式中，将第一配置信息确对应小区未开启MU-MIMO模式。此时， 小区为SU-MIMO小区。
在S108中，获取统计周期内的信道占用PRB总数和信道可用PRB总数。
在一种实施方式中，信道占用PRB总数可以是小区下行PDSCH信道占用PRB总数。
在另一种实施方式中，信道占用PRB总数可以是小区上行PUSCH信道占用PRB总数。
在又一种实施方式中，信道占用PRB总数小区下行PDSCH信道占用PRB总数和小区上行PUSCH信道占用PRB总数的平均数。
在S109中，根据统计周期内的信道占用PRB总数和信道可用PRB总数，确定无线资源利用率。
可选地，无线资源利用率满足以下公式：无线资源利用率＝统计周期内的信道占用PRB总数/统计周期内的信道可用PRB总数。
示例性的，小区为SU-MIMO模式，统计周期内，小区下行PDSCH信道占用PRB总数为200，小区下行PDSCH信道可用PRB总数为273，则该小区的下行无线资源利用率为200/273＝73.3％。
示例性的，小区为SU-MIMO模式，统计周期内，小区上行PUSCH信道占用PRB总数为210，小区上行PUSCH信道可用PRB总数为273，则该小区的上行无线资源利用率为210/273＝76.9％。
示例性的，小区为SU-MIMO模式，统计周期内，小区下行PDSCH信道占用PRB总数为200，小区上行PUSCH信道占用PRB总数为210，小区信道占用PRB总数为205，小区信道可用PRB总数为273，则该小区的无线资源利用率为205/273＝75.1％。
上述实施例中，通过根据小区是否开启MU-MIMO模式确定无线资源利用率的计算方法，为SU-MIMO小区和MU-MIMO小区配置不同的无线资源利用率计算方式，对于SU-MIMO小区，不必考虑小区的地理环境和用户的实际分布对小区无线资源容量的限制，通过信道占用PRB总数和信道可用PRB总数快速确定无线资源利用率，提高无线资源利用率计算的准确性和效率，对于MU-MIMO小区，5G网络的无线资源利用率同时考虑时频资源和空域资源，考虑了小区的地理环境和用户的实际分布对小区无线资源容量的限制，根据统计周期内的信道非空分占用无线资源、统计周期内的信道空分占用无线资源和统计周期内的信道可用无线资源，确定无线资源利用率，使得无线资源利用率的计算结果准确率提高，能够真实有效的反应网络的负荷情况。
可选地，本申请实施还提出了另一种无线资源利用率确定方法，示例性的，该无线资源利用率确定方法包括S201-S204。
S201：获取小区的统计周期内的通信数据，通信数据包括：每个时隙的信道空分占用PRB总数、每个时隙的最大调度层数和信道可用PRB总数。
需要说明的，S201的实现原理与S101的实现原理相同，因此，关于S201的实现过程和相关说明可以参考S101，此处不再赘述。
S202：根据每个时隙的信道空分占用PRB总数，确定统计周期内的信道空分占用无线资源。
需要说明的，S202的实现原理与S103的实现原理相同，因此，关于S202的实现 过程和相关说明可以参考S103，此处不再赘述。
S203：根据信道可用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道可用无线资源。
需要说明的，S203的实现原理与S104的实现原理相同，因此，关于S203的实现过程和相关说明可以参考S104，此处不再赘述。
S204:根据统计周期内的信道空分占用无线资源和统计周期内的信道可用无线资源，确定无线资源利用率。
示例性的，无线资源利用率满足以下公式：
无线资源利用率＝统计周期内的信道空分占用无线资源/统计周期内的信道可用无线资源。
在一个示例中，小区为MU-MIMO小区。假设统计周期内有3个时隙。第1个时隙，有30个PRB占用了2层，30个PRB占用了3层，100个PRB占用了5层。第2个时隙，有40个PRB占用了1层，70个PRB占用了3层，90个PRB占用了6层。第3个时隙，没有占用。
基于该示例，统计周期内的信道空分占用无线资源
Figure PCTCN2022097949-appb-000025
Figure PCTCN2022097949-appb-000026
统计周期内平均最大调度层
Figure PCTCN2022097949-appb-000027
Figure PCTCN2022097949-appb-000028
统计周期内的信道可用无线资源T3＝B*L*n＝273*5.5*3＝4504.5。统计周期内的无线资源利用率＝(T1+T2)/T3＝1440/4504.5＝31.86％。
在一个示例中，小区为MU-MIMO小区。假设统计周期为3个时隙，第1个时隙，有30个PRB占用了2层，30个PRB占用了3层，100个PRB占用了5层；第2个时隙，有40个PRB占用了1层，70个PRB占用了3层，90个PRB占用了6层；第3个时隙，有50个PRB占用了2层，80个PRB占用了3层，80个PRB占用了7层。
基于上述示例，统计周期内的信道空分占用无线资源
Figure PCTCN2022097949-appb-000029
Figure PCTCN2022097949-appb-000030
统计周期内平均最大调度层
Figure PCTCN2022097949-appb-000031
统计周期内的信道可用无线资源T3＝B*L*n＝273*6*3＝4914。统计周期内的无线资源利用率＝(T1+T2)/T3＝2340/4914＝47.62％。
上述实施例中，通过使用小区统计周期内的最大调度层数计算信道可用无线资源，进而根据信道空分占用无线资源和信道可用无线资源确定无线资源利用率，考虑了小区的地理环境和用户的实际分布对小区无线资源容量的限制，从而使得无线资源利用率的计算结果准确率提高，能够真实有效的反应网络的负荷情况。
需要说明的，关于S204的其他相关说明可以参考S105，此处不再赘述。
可选地，本申请实施还提出了一种统计周期内平均最大调度层数的确定方法，示例性的，该无线资源利用率确定方法包括S301。
S301：根据每个时隙的最大调度层数，确定统计周期内平均最大调度层数；统计周期内平均最大调度层数满足以下公式：
Figure PCTCN2022097949-appb-000032
L表征统计周期内平均最大调度层数，i表征统计周期内的第i个时隙，Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
需要说明的，S401的相关说明已在S104中说明，此处不再赘述。
上述主要从方法的角度对本申请实施例提供的方案进行了介绍。为了实现上述功能，其包含了执行各个功能相应的硬件结构和/或软件模块。本领域技术人员应该很容易意识到，结合本文中所公开的实施例描述的各示例的单元及算法步骤，本申请能够以硬件或硬件和计算机软件的结合形式来实现。某个功能究竟以硬件还是计算机软件驱动硬件的方式来执行，取决于技术方案的特定应用和设计约束条件。专业技术人员可以对每个特定的应用来使用不同方法来实现所描述的功能，但是这种实现不应认为超出本申请的范围。
本公开实施例还提供一种无线资源利用率确定装置。
图3是根据一示例性实施例示出的一种无线资源利用率确定装置框图。参照图3，该装置包括获取模块301和确定模块302。
该获取模块301被配置为执行获取小区的统计周期内的通信数据，通信数据包括：每个时隙的信道非空分占用PRB总数、每个时隙的信道空分占用PRB总数、每个时隙的最大调度层数和信道可用PRB总数。例如，结合图1，获取模块301可以用于执行S101。
该确定模块302被配置为执行根据每个时隙的信道非空分占用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道非空分占用无线资源。例如，结合图1，确定模块302可以用于执行S102。
该确定模块302还被配置为执行根据每个时隙的信道空分占用PRB总数，确定统计周期内的信道空分占用无线资源。例如，结合图1，确定模块302可以用于执行S103。
该确定模块302还被配置为执行根据信道可用PRB总数和每个时隙的最大调度层数，确定统计周期内的信道可用无线资源。例如，结合图1，确定模块302可以用于执行S104。
该确定模块302还被配置为执行根据统计周期内的信道非空分占用无线资源、统计周期内的信道空分占用无线资源和统计周期内的信道可用无线资源，确定无线资源利用率。例如，结合图1，确定模块302可以用于执行S105。
在一种可能的实施方式中，统计周期内的信道非空分占用无线资源满足以下公式：
Figure PCTCN2022097949-appb-000033
T1表征统计周期内的信道非空分占用无线资源，i表征统计周期内的第i个时隙，PRB i表征第i个时隙信道非空分占用PRB总数，Layer i表征统计周期内第i个时隙的最大调度层数，n为正整数。
另一种可能的实施方式中，统计周期内的信道空分占用无线资源满足以下公式：
Figure PCTCN2022097949-appb-000034
T2表征统计周期内的信道空分占用无线资源，i表征统计周期内的第i个时隙，PRB i,j表征第i个时隙占用j层的信道空分占用PRB数量，j表征占用的层数，n为正整数，m为正整数，j为正整数。
另一种可能的实施方式中，确定模块具体被配置为执行：根据每个时隙的最大调度层数，确定统计周期内平均最大调度层数；根据信道可用PRB总数和统计周期内平均最大调度层数，确定统计周期内的信道可用无线资源。
另一种可能的实施方式中，统计周期内平均最大调度层数满足以下公式：
Figure PCTCN2022097949-appb-000035
L表征统计周期内平均最大调度层数，i表征统计周期内的第i个时隙，Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
另一种可能的实施方式中，统计周期内的信道可用无线资源满足以下公式：
T3＝B*L*n
T3表征统计周期内的信道可用无线资源，L表征统计周期内平均最大调度层数，n表征统计周期内的时隙个数，n为正整数,B表征每个时隙PRB的配置数量。
另一种可能的实施方式中，无线资源利用率满足以下公式：
无线资源利用率＝(统计周期内的信道非空分占用无线资源+统计周期内的信道空分占用无线资源)/统计周期内的信道可用无线资源。
另一种可能的实施方式中，无线资源利用率确定装置还包括配置模块，被配置为执行：获取小区的MIMO配置信息；根据MIMO配置信息，确定小区是否开启MU-MIMO模式；在确定小区已开启MU-MIMO模式的情况下，获取小区的统计周期内的通信数据。
另一种可能的实施方式中，配置模块还被配置为执行：在确定小区未开启MU-MIMO模式的情况下，获取统计周期内的信道占用PRB总数和信道可用PRB总数；根据统计周期内的信道占用PRB总数和信道可用PRB总数，确定无线资源利用率。
关于上述实施例中的装置，其中各个模块执行操作的具体方式已经在有关该方法的实施例中进行了详细描述，此处将不做详细阐述说明。
图4是根据一示例性实施例示出的一种用于电子设备400的框图。如图4所示，电子设备400包括但不限于：处理器401和存储器402。
其中，上述的存储器402，用于存储上述处理器401的可执行指令。可以理解的是，上述处理器401被配置为执行指令，以实现上述实施例的图1或图2中任一项所示的无线资源利用率确定方法。
需要说明的是，本领域技术人员可以理解，图4中示出的电子设备结构并不构成对电子设备的限定，电子设备可以包括比图4所示更多或更少的部件，或者组合某些 部件，或者不同的部件布置。
处理器401是电子设备的控制中心，利用各种接口和线路连接整个电子设备的各个部分，通过运行或执行存储在存储器402内的软件程序和/或模块，以及调用存储在存储器402内的数据，执行电子设备的各种功能和处理数据，从而对电子设备进行整体监控。处理器401可包括一个或多个处理单元；可选的，处理器401可集成应用处理器和调制解调处理器，其中，应用处理器主要处理操作系统、用户界面和应用程序等，调制解调处理器主要处理无线通信。可以理解的是，上述调制解调处理器也可以不集成到处理器401中。
存储器402可用于存储软件程序以及各种数据。存储器402可主要包括存储程序区和存储数据区，其中，存储程序区可存储操作系统、至少一个功能模块所需的应用程序(比如获取模块301和确定模块802等)等。此外，存储器402可以包括高速随机存取存储器，还可以包括非易失性存储器，例如至少一个磁盘存储器件、闪存器件、或其他易失性固态存储器件。
在示例性实施例中，本公开实施例还提供了一种包括指令的计算机可读存储介质，例如包括指令的存储器402，上述指令可由电子设备400的处理器401执行以完成上述实施例的图1或图2中任一项所示的无线资源利用率确定方法。
在实际实现时，获取模块301和确定模块802可以由图4所示的处理器401调用存储器402中的程序代码来实现。其具体的执行过程可参考图1或图2中任一项所示的无线资源利用率确定方法部分的描述，这里不再赘述。
可选地，计算机可读存储介质可以是非临时性计算机可读存储介质，例如，该非临时性计算机可读存储介质可以是只读存储器(Read-Only Memory，ROM)、随机存储存储器(Random Access Memory，RAM)、CD-ROM、磁带、软盘和光数据存储设备等。
需要说明的是，上述计算机可读存储介质中的指令被电子设备400的处理器401执行时实现上述无线资源利用率确定方法实施例的各个过程，且能达到与上述实施例的图1或图2中任一项所示的无线资源利用率确定方法相同的技术效果，为避免重复，这里不再赘述。
本领域技术人员在考虑说明书及实践这里公开的发明后，将容易想到本公开的其它实施方案。本申请旨在涵盖本公开的任何变型、用途或者适应性变化，这些变型、用途或者适应性变化遵循本公开的一般性原理并包括本公开未公开的本技术领域中的公知常识或惯用技术手段。说明书和实施例仅被视为示例性的，本公开的真正范围和精神由下面的权利要求指出。
应当理解的是，本公开并不局限于上面已经描述并在附图中示出的精确结构，并且可以在不脱离其范围进行各种修改和改变。本公开的范围仅由所附的权利要求来限制。

Claims (40)

  1. 一种无线资源利用率确定方法，其特征在于，包括：
    获取小区的统计周期内的通信数据，所述通信数据包括：每个时隙的信道非空分占用PRB总数、每个时隙的信道空分占用PRB总数、每个时隙的最大调度层数和信道可用PRB总数；
    根据所述每个时隙的信道非空分占用PRB总数和所述每个时隙的最大调度层数，确定所述统计周期内的信道非空分占用无线资源；
    根据所述每个时隙的信道空分占用PRB总数，确定所述统计周期内的信道空分占用无线资源；
    根据所述信道可用PRB总数和所述每个时隙的最大调度层数，确定所述统计周期内的信道可用无线资源；
    根据所述统计周期内的信道非空分占用无线资源、所述统计周期内的信道空分占用无线资源和所述统计周期内的信道可用无线资源，确定无线资源利用率。
  2. 根据权利要求1所述的无线资源利用率确定方法，其特征在于，所述统计周期内的信道非空分占用无线资源满足以下公式：
    Figure PCTCN2022097949-appb-100001
    所述T1表征统计周期内的信道非空分占用无线资源，所述i表征统计周期内的第i个时隙，所述PRB i表征第i个时隙信道非空分占用PRB总数，所述Layer i表征统计周期内第i个时隙的最大调度层数，n为正整数。
  3. 根据权利要求1所述的无线资源利用率确定方法，其特征在于，所述统计周期内的信道空分占用无线资源满足以下公式：
    Figure PCTCN2022097949-appb-100002
    所述T2表征统计周期内的信道空分占用无线资源，所述i表征统计周期内的第i个时隙，所述PRB i,j表征第i个时隙占用j层的信道空分占用PRB数量，所述j表征占用的层数，n为正整数，m为正整数，j为正整数。
  4. 根据权利要求1所述的无线资源利用率确定方法，其特征在于，所述根据所述信道可用PRB总数和所述每个时隙的最大调度层数，确定所述统计周期内的信道可用无线资源，包括：
    根据所述每个时隙的最大调度层数，确定统计周期内平均最大调度层数；
    根据所述信道可用PRB总数和所述统计周期内平均最大调度层数，确定所述统计周期内的信道可用无线资源。
  5. 根据权利要求4所述的无线资源利用率确定方法，其特征在于，所述统计周期内平均最大调度层数满足以下公式：
    Figure PCTCN2022097949-appb-100003
    所述L表征统计周期内平均最大调度层数，所述i表征统计周期内的第i个时隙， 所述Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
  6. 根据权利要求5所述的无线资源利用率确定方法，其特征在于，所述统计周期内的信道可用无线资源满足以下公式：
    T3＝B*L*n
    所述T3表征统计周期内的信道可用无线资源，所述L表征统计周期内平均最大调度层数，所述n表征统计周期内的时隙个数，n为正整数,B表征每个时隙PRB的配置数量。
  7. 根据权利要求1-6中任一项所述的无线资源利用率确定方法，其特征在于，所述无线资源利用率满足以下公式：
    无线资源利用率＝(统计周期内的信道非空分占用无线资源+统计周期内的信道空分占用无线资源)/统计周期内的信道可用无线资源。
  8. 根据权利要求1所述的无线资源利用率确定方法，其特征在于，所述获取小区的统计周期内的通信数据之前，所述无线资源利用率确定方法还包括：
    获取所述小区的MIMO配置信息；
    根据所述MIMO配置信息，确定所述小区是否开启MU-MIMO模式；
    在确定所述小区已开启MU-MIMO模式的情况下，获取小区的统计周期内的通信数据。
  9. 根据权利要求8所述的无线资源利用率确定方法，其特征在于，所述无线资源利用率确定方法还包括：
    在确定所述小区未开启MU-MIMO模式的情况下，获取统计周期内的信道占用PRB总数和信道可用PRB总数；
    根据所述统计周期内的信道占用PRB总数和信道可用PRB总数，确定无线资源利用率。
  10. 一种无线资源利用率确定方法，其特征在于，包括：
    获取小区的统计周期内的通信数据，所述通信数据包括：每个时隙的信道空分占用PRB总数、每个时隙的最大调度层数和信道可用PRB总数；
    根据所述每个时隙的信道空分占用PRB总数，确定所述统计周期内的信道空分占用无线资源；
    根据所述信道可用PRB总数和所述每个时隙的最大调度层数，确定所述统计周期内的信道可用无线资源；
    根据所述统计周期内的信道空分占用无线资源和所述统计周期内的信道可用无线资源，确定无线资源利用率。
  11. 根据权利要求10所述的无线资源利用率确定方法，其特征在于，所述统计周期内的信道空分占用无线资源满足以下公式：
    Figure PCTCN2022097949-appb-100004
    所述T2表征统计周期内的信道空分占用无线资源，所述i表征统计周期内的第i 个时隙，所述PRB i,j表征第i个时隙占用j层的信道空分占用PRB数量，所述j表征占用的层数，n为正整数，m为正整数，j为正整数。
  12. 根据权利要求10所述的无线资源利用率确定方法，其特征在于，所述根据所述信道可用PRB总数和所述每个时隙的最大调度层数，确定所述统计周期内的信道可用无线资源，包括：
    根据所述每个时隙的最大调度层数，确定统计周期内平均最大调度层数；
    根据所述信道可用PRB总数和所述统计周期内平均最大调度层数，确定所述统计周期内的信道可用无线资源。
  13. 根据权利要求12所述的无线资源利用率确定方法，其特征在于，所述统计周期内平均最大调度层数满足以下公式：
    Figure PCTCN2022097949-appb-100005
    所述L表征统计周期内平均最大调度层数，所述i表征统计周期内的第i个时隙，所述Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
  14. 根据权利要求13所述的无线资源利用率确定方法，其特征在于，所述统计周期内的信道可用无线资源满足以下公式：
    T3＝B*L*n
    所述T3表征统计周期内的信道可用无线资源，所述L表征统计周期内平均最大调度层数，所述n表征统计周期内的时隙个数，n为正整数,B表征每个时隙PRB的配置数量。
  15. 根据权利要求13所述的无线资源利用率确定方法，其特征在于，所述统计周期内的信道可用无线资源满足以下公式：
    Figure PCTCN2022097949-appb-100006
    所述T3表征统计周期内的信道可用无线资源，所述L表征统计周期内平均最大调度层数，所述i表征统计周期内的第i个时隙，所述n表征统计周期内的时隙个数，n为正整数,B i表征第i个时隙PRB的配置数量。
  16. 根据权利要求10-15中任一项所述的无线资源利用率确定方法，其特征在于，所述无线资源利用率满足以下公式：
    无线资源利用率＝统计周期内的信道空分占用无线资源/统计周期内的信道可用无线资源。
  17. 根据权利要求10所述的无线资源利用率确定方法，其特征在于，所述获取小区的统计周期内的通信数据之前，所述无线资源利用率确定方法还包括：
    获取所述小区的MIMO配置信息；
    根据所述MIMO配置信息，确定所述小区是否开启MU-MIMO模式；
    在确定所述小区已开启MU-MIMO模式的情况下，获取小区的统计周期内的通信数据。
  18. 根据权利要求17所述的无线资源利用率确定方法，其特征在于，所述无线资源利用率确定方法还包括：
    在确定所述小区未开启MU-MIMO模式的情况下，获取统计周期内的信道占用PRB总数和信道可用PRB总数；
    根据所述统计周期内的信道占用PRB总数和信道可用PRB总数，确定无线资源利用率。
  19. 一种统计周期内平均最大调度层数的确定方法，其特征在于，包括：
    根据所述每个时隙的最大调度层数，确定统计周期内平均最大调度层数；所述统计周期内平均最大调度层数满足以下公式：
    Figure PCTCN2022097949-appb-100007
    所述L表征统计周期内平均最大调度层数，所述i表征统计周期内的第i个时隙，所述Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
  20. 一种无线资源利用率确定装置，其特征在于，包括：
    获取模块，被配置为执行获取小区的统计周期内的通信数据，所述通信数据包括：每个时隙的信道非空分占用PRB总数、每个时隙的信道空分占用PRB总数、每个时隙的最大调度层数和信道可用PRB总数；
    确定模块，被配置为执行根据所述每个时隙的信道非空分占用PRB总数和所述每个时隙的最大调度层数，确定所述统计周期内的信道非空分占用无线资源；
    所述确定模块，还被配置执行根据所述每个时隙的信道空分占用PRB总数，确定所述统计周期内的信道空分占用无线资源；
    所述确定模块，还被配置执行根据所述信道可用PRB总数和所述每个时隙的最大调度层数，确定所述统计周期内的信道可用无线资源；
    所述确定模块，还被配置执行根据所述统计周期内的信道非空分占用无线资源、所述统计周期内的信道空分占用无线资源和所述统计周期内的信道可用无线资源，确定无线资源利用率。
  21. 根据权利要求20所述的无线资源利用率确定装置，其特征在于，所述统计周期内的信道非空分占用无线资源满足以下公式：
    Figure PCTCN2022097949-appb-100008
    所述T1表征统计周期内的信道非空分占用无线资源，所述i表征统计周期内的第i个时隙，所述PRB i表征第i个时隙信道非空分占用PRB总数，所述Layer i表征统计周期内第i个时隙的最大调度层数，n为正整数。
  22. 根据权利要求20所述的无线资源利用率确定装置，其特征在于，所述统计周期内的信道空分占用无线资源满足以下公式：
    Figure PCTCN2022097949-appb-100009
    所述T2表征统计周期内的信道空分占用无线资源，所述i表征统计周期内的第i个时隙，所述PRB i,j表征第i个时隙占用j层的信道空分占用PRB数量，所述j表征占用的层数，n为正整数，m为正整数，j为正整数。
  23. 根据权利要求20所述的无线资源利用率确定装置，其特征在于，所述确定模块具体被配置为执行：
    根据所述每个时隙的最大调度层数，确定统计周期内平均最大调度层数；
    根据所述信道可用PRB总数和所述统计周期内平均最大调度层数，确定所述统计周期内的信道可用无线资源。
  24. 根据权利要求23所述的无线资源利用率确定装置，其特征在于，所述统计周期内平均最大调度层数满足以下公式：
    Figure PCTCN2022097949-appb-100010
    所述L表征统计周期内平均最大调度层数，所述i表征统计周期内的第i个时隙，所述Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
  25. 根据权利要求24所述的无线资源利用率确定装置，其特征在于，所述统计周期内的信道可用无线资源满足以下公式：
    T3＝B*L*n
    所述T3表征统计周期内的信道可用无线资源，所述L表征统计周期内平均最大调度层数，所述n表征统计周期内的时隙个数，n为正整数,B表征每个时隙PRB的配置数量。
  26. 根据权利要求20-25中任一项所述的无线资源利用率确定装置，其特征在于，所述无线资源利用率满足以下公式：
    无线资源利用率＝(统计周期内的信道非空分占用无线资源+统计周期内的信道空分占用无线资源)/统计周期内的信道可用无线资源。
  27. 根据权利要求20所述的无线资源利用率确定装置，其特征在于，所述无线资源利用率确定装置还包括配置模块，被配置为执行：
    获取所述小区的MIMO配置信息；
    根据所述MIMO配置信息，确定所述小区是否开启MU-MIMO模式；
    在确定所述小区已开启MU-MIMO模式的情况下，获取小区的统计周期内的通信数据。
  28. 根据权利要求27所述的无线资源利用率确定装置，其特征在于，所述配置模块还被配置为执行：
    在确定所述小区未开启MU-MIMO模式的情况下，获取统计周期内的信道占用PRB总数和信道可用PRB总数；
    根据所述统计周期内的信道占用PRB总数和信道可用PRB总数，确定无线资源利用率。
  29. 一种无线资源利用率确定装置，其特征在于，包括：
    获取模块，被配置为执行获取小区的统计周期内的通信数据，所述通信数据包括： 每个时隙的信道空分占用PRB总数、每个时隙的最大调度层数和信道可用PRB总数；
    确定模块，还被配置执行根据所述每个时隙的信道空分占用PRB总数，确定所述统计周期内的信道空分占用无线资源；
    所述确定模块，还被配置执行根据所述信道可用PRB总数和所述每个时隙的最大调度层数，确定所述统计周期内的信道可用无线资源；
    所述确定模块，还被配置执行根据所述统计周期内的信道空分占用无线资源和所述统计周期内的信道可用无线资源，确定无线资源利用率。
  30. 根据权利要求29所述的无线资源利用率确定装置，其特征在于，所述统计周期内的信道空分占用无线资源满足以下公式：
    Figure PCTCN2022097949-appb-100011
    所述T2表征统计周期内的信道空分占用无线资源，所述i表征统计周期内的第i个时隙，所述PRB i,j表征第i个时隙占用j层的信道空分占用PRB数量，所述j表征占用的层数，n为正整数，m为正整数，j为正整数。
  31. 根据权利要求29所述的无线资源利用率确定装置，其特征在于，所述根据所述信道可用PRB总数和所述每个时隙的最大调度层数，确定所述统计周期内的信道可用无线资源，包括：
    根据所述每个时隙的最大调度层数，确定统计周期内平均最大调度层数；
    根据所述信道可用PRB总数和所述统计周期内平均最大调度层数，确定所述统计周期内的信道可用无线资源。
  32. 根据权利要求31所述的无线资源利用率确定装置，其特征在于，所述统计周期内平均最大调度层数满足以下公式：
    Figure PCTCN2022097949-appb-100012
    所述L表征统计周期内平均最大调度层数，所述i表征统计周期内的第i个时隙，所述Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
  33. 根据权利要求32所述的无线资源利用率确定装置，其特征在于，所述统计周期内的信道可用无线资源满足以下公式：
    T3＝B*L*n
    所述T3表征统计周期内的信道可用无线资源，所述L表征统计周期内平均最大调度层数，所述n表征统计周期内的时隙个数，n为正整数,B表征每个时隙PRB的配置数量。
  34. 根据权利要求32所述的无线资源利用率确定方法，其特征在于，所述统计周期内的信道可用无线资源满足以下公式：
    Figure PCTCN2022097949-appb-100013
    所述T3表征统计周期内的信道可用无线资源，所述L表征统计周期内平均最大调度层数，所述i表征统计周期内的第i个时隙，所述n表征统计周期内的时隙个数，n为正整数,B i表征第i个时隙PRB的配置数量。
  35. 根据权利要求29-34中任一项所述的无线资源利用率确定装置，其特征在于，所述无线资源利用率满足以下公式：
    无线资源利用率＝统计周期内的信道空分占用无线资源/统计周期内的信道可用无线资源。
  36. 根据权利要求29所述的无线资源利用率确定装置，其特征在于，所述无线资源利用率确定装置还包括配置模块，被配置为执行：
    获取所述小区的MIMO配置信息；
    根据所述MIMO配置信息，确定所述小区是否开启MU-MIMO模式；
    在确定所述小区已开启MU-MIMO模式的情况下，获取小区的统计周期内的通信数据。
  37. 根据权利要求36所述的无线资源利用率确定装置，其特征在于，所述配置模块还被配置为执行：
    在确定所述小区未开启MU-MIMO模式的情况下，获取统计周期内的信道占用PRB总数和信道可用PRB总数；
    根据所述统计周期内的信道占用PRB总数和信道可用PRB总数，确定无线资源利用率。
  38. 一种统计周期内平均最大调度层数的确定装置，其特征在于，包括：
    确定模块，被配置为执行根据所述每个时隙的最大调度层数，确定统计周期内平均最大调度层数；所述统计周期内平均最大调度层数满足以下公式：
    Figure PCTCN2022097949-appb-100014
    所述L表征统计周期内平均最大调度层数，所述i表征统计周期内的第i个时隙，所述Layer i表征第i个时隙的最大调度层数，k表征具有最大调度层数的时隙个数，n为正整数,Layer i为正整数，k为正整数。
  39. 一种电子设备，其特征在于，包括：
    处理器；
    用于存储所述处理器可执行指令的存储器；
    其中，所述处理器被配置为执行所述指令，以实现如权利要求1-9中任一项所述的无线资源利用率确定方法、10-18中任一项所述的无线资源利用率确定方法或权利要求19中所述的统计周期内平均最大调度层数的确定方法。
  40. 一种计算机可读存储介质，其特征在于，当所述计算机可读存储介质中的指令由电子设备的处理器执行时，使得电子设备能够执行如权利要求1-9中任一项所述的无线资源利用率确定方法、10-18中任一项所述的无线资源利用率确定方法或权利要求19中所述的统计周期内平均最大调度层数的确定方法。
PCT/CN2022/097949 2021-07-27 2022-06-09 无线资源利用率确定方法、装置、电子设备及存储介质 WO2023005448A1 (zh)

Priority Applications (2)

Application Number Priority Date Filing Date Title
EP22848057.0A EP4380222A1 (en) 2021-07-27 2022-06-09 Wireless resource utilization rate determination method and apparatus, electronic device and storage medium
KR1020247006711A KR20240038078A (ko) 2021-07-27 2022-06-09 무선 자원 이용률 결정 방법, 장치, 전자 기기 및 기록 매체

Applications Claiming Priority (2)

Application Number Priority Date Filing Date Title
CN202110860391.4A CN113573351B (zh) 2021-07-27 2021-07-27 无线资源利用率确定方法、装置、电子设备及存储介质
CN202110860391.4 2021-07-27

Publications (1)

Publication Number Publication Date
WO2023005448A1 true WO2023005448A1 (zh) 2023-02-02

Family

ID=78168710

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/CN2022/097949 WO2023005448A1 (zh) 2021-07-27 2022-06-09 无线资源利用率确定方法、装置、电子设备及存储介质

Country Status (4)

Country Link
EP (1) EP4380222A1 (zh)
KR (1) KR20240038078A (zh)
CN (1) CN113573351B (zh)
WO (1) WO2023005448A1 (zh)

Families Citing this family (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN113573351B (zh) * 2021-07-27 2023-05-16 中国联合网络通信集团有限公司 无线资源利用率确定方法、装置、电子设备及存储介质
CN114125896B (zh) * 2021-11-02 2023-07-18 中国联合网络通信集团有限公司 无线资源负荷评估方法、装置及计算机可读存储介质
CN114710793B (zh) * 2022-04-06 2024-05-14 中国联合网络通信集团有限公司 Mu-mimo功能开启的判决方法、装置、设备及存储介质
CN115277507B (zh) * 2022-07-25 2023-06-16 中国联合网络通信集团有限公司 Prb频谱利用率的计算方法、装置、设备和存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106612212A (zh) * 2015-10-23 2017-05-03 中国移动通信集团公司 一种业务的网络资源利用率统计方法及装置
CN109996258A (zh) * 2017-12-31 2019-07-09 中国移动通信集团辽宁有限公司 无线网络利用率评估方法、装置、计算设备及存储介质
CN111866902A (zh) * 2020-07-01 2020-10-30 中国联合网络通信集团有限公司 资源利用率的评估方法和装置
CN112203322A (zh) * 2020-09-30 2021-01-08 中国联合网络通信集团有限公司 一种信道资源利用率的统计方法和装置
CN113573351A (zh) * 2021-07-27 2021-10-29 中国联合网络通信集团有限公司 无线资源利用率确定方法、装置、电子设备及存储介质

Family Cites Families (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US10798743B2 (en) * 2017-04-21 2020-10-06 Qualcomm Incorporated Methods and systems for improved resource unit utilization
CN109219140B (zh) * 2017-07-06 2022-07-05 中兴通讯股份有限公司 频域带宽资源的分配方法、终端及计算机可读存储介质
CN109842948B (zh) * 2017-11-27 2022-04-01 中国移动通信集团广东有限公司 一种3d-mimo基站的增强型控制信道资源配置方法及设备
CN110740450B (zh) * 2019-10-14 2022-09-02 中国联合网络通信集团有限公司 一种网络小区扩容方法和装置

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106612212A (zh) * 2015-10-23 2017-05-03 中国移动通信集团公司 一种业务的网络资源利用率统计方法及装置
CN109996258A (zh) * 2017-12-31 2019-07-09 中国移动通信集团辽宁有限公司 无线网络利用率评估方法、装置、计算设备及存储介质
CN111866902A (zh) * 2020-07-01 2020-10-30 中国联合网络通信集团有限公司 资源利用率的评估方法和装置
CN112203322A (zh) * 2020-09-30 2021-01-08 中国联合网络通信集团有限公司 一种信道资源利用率的统计方法和装置
CN113573351A (zh) * 2021-07-27 2021-10-29 中国联合网络通信集团有限公司 无线资源利用率确定方法、装置、电子设备及存储介质

Also Published As

Publication number Publication date
CN113573351A (zh) 2021-10-29
EP4380222A1 (en) 2024-06-05
KR20240038078A (ko) 2024-03-22
CN113573351B (zh) 2023-05-16

Similar Documents

Publication Publication Date Title
WO2023005448A1 (zh) 无线资源利用率确定方法、装置、电子设备及存储介质
US8675580B2 (en) Method and apparatus for facilitating packet scheduling for a hybrid communication network
US11616702B2 (en) Method and apparatus for differentially optimizing quality of service QoS
CN110113808A (zh) 用于功率控制的系统和方法
WO2022143269A1 (zh) 数据传输方法和装置、存储介质和电子装置
WO2016033953A1 (zh) 资源分配方法及装置
CN102404862B (zh) 一种lte系统中pdcch资源分配的方法
US10104573B2 (en) Wireless network throughput estimation
WO2023241041A1 (zh) 小区间的干扰协调方法、设备及存储介质
CN113676956A (zh) 一种缓存确定方法及装置
CN103458470A (zh) 认知中继系统中基于QoS的传输方法
CN107800648B (zh) 数据包调度方法及装置
US11943667B2 (en) Method and base station for multi-user multiple input multiple output
CN111224761B (zh) 一种上行调度方法及装置
Hossain et al. A novel scheduling and queue management scheme for multi-band mobile routers
JP7427134B1 (ja) 通信装置、パラメータ生成装置、通信システム、方法及びコンピュータプログラム
CN113228798A (zh) 装置、方法和计算机程序
CN116133000B (zh) 空分复用方法、装置、计算机设备和存储介质
WO2023226967A1 (zh) 确定动态码本的方法、装置及通信设备
Zhang et al. Fog Network Task Scheduling for IoT Applications
Zhang Optimized Resource Allocation in Mobile Edge Communication, 5G data multiplexing, and WiFi Channel Access
Lee et al. Quality of service guarantee for real-time VBR traffic flows with different delay bound and loss probability requirements in WLANs
Li et al. High-Priority Minimum-Interference Channel Assignment in Multi-Radio Multi-Channel Wireless Networks
US20210099334A1 (en) Multi-user virtual reality over wireless networks
CN116647294A (zh) 网络资源分配方法及相关设备

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 22848057

Country of ref document: EP

Kind code of ref document: A1

ENP Entry into the national phase

Ref document number: 2024505462

Country of ref document: JP

Kind code of ref document: A

ENP Entry into the national phase

Ref document number: 20247006711

Country of ref document: KR

Kind code of ref document: A

WWE Wipo information: entry into national phase

Ref document number: 2022848057

Country of ref document: EP

Ref document number: 1020247006711

Country of ref document: KR

NENP Non-entry into the national phase

Ref country code: DE

ENP Entry into the national phase

Ref document number: 2022848057

Country of ref document: EP

Effective date: 20240227