Resource allocation method, device and equipment of general sensing base station, and computer storage medium

Abstract

The invention discloses a resource allocation method, device and equipment of a general sensing base station and a computer storage medium, and relates to the technical field of communication. The method comprises the following steps: acquiring a network performance index value of a service target area of a general sensing base station based on a preset resource ratio of a communication resource and a sensing resource in the general sensing base station, the network performance index value comprises the number of resource blocks occupied by a downlink service channel, the available number of resource blocks of a downlink shared channel, the successful transmission downlink flow of the media access control layer and the peak rate; according to the number of resource blocks occupied by the downlink service channel, the available number of resource blocks of the downlink shared channel and the downlink flow successfully transmitted by the media access control layer, calculating to obtain a downlink residual resource value in the target area; dividing the downlink residual resource value by the peak rate to obtain a residual resource proportion of the target area; and adjusting the distribution proportion of the sensing resources according to the residual resource proportion.

Description

Technical Field

[0001] The present application belongs to the field of communication technology, and in particular, relates to a resource allocation method, device, equipment and computer storage medium of a telepathic base station. Background Art

[0002] With the development of mobile communication technology, base stations can not only provide traditional communication services, but also provide perception functions, so that base stations can monitor and understand the surrounding environment in real time, provide richer data support for the network, and thus optimize network performance and user experience. However, in existing tele-sensing integrated base stations, a fixed ratio is used to allocate resources for communication and perception, with communication as the main focus, more resources allocated to communication, and fewer resources allocated to perception. However, in this allocation method, in some relatively low-load scenarios, communication does not require so many resources, but perception requires more precise measurements. If it is allocated at a fixed ratio, it will cause a waste of communication resources and a decrease in perception measurement capabilities. Summary of the invention

[0003] The embodiments of the present application provide a resource allocation method, device, equipment and computer storage medium for a telepathic base station, which can not only save communication resources but also improve the accuracy of the perception function.

[0004] In a first aspect, an embodiment of the present application provides a resource allocation method for a synaesthesia base station, the method comprising:

[0005] Based on the preset resource ratio of communication resources and perception resources in the synaesthesia base station, a network performance indicator value of the target area served by the synaesthesia base station is obtained, wherein the network performance indicator value includes the number of resource blocks occupied by downlink service channels, the number of available downlink shared channel resource blocks, the downlink traffic successfully transmitted by the media access control layer, and the peak rate;

[0006] Calculate the remaining downlink resource value in the target area according to the number of resource blocks occupied by the downlink service channel, the available number of downlink shared channel resource blocks and the downlink traffic successfully transmitted by the media access control layer;

[0007] Determine, according to the downlink remaining resource value and the peak rate, a remaining resource ratio of the target area, wherein the remaining resource ratio is a ratio of the downlink remaining resource value to the peak rate;

[0008] According to the remaining resource ratio, the allocation ratio of the sensing resources is adjusted.

[0009] In a second aspect, an embodiment of the present application provides a resource allocation device for a synaesthesia base station, the device comprising:

[0010] An acquisition module is used to acquire a network performance indicator value of a target area served by the synaesthesia base station based on a preset resource ratio of communication resources and perception resources in the synaesthesia base station, wherein the network performance indicator value includes the number of resource blocks occupied by downlink service channels, the number of available downlink shared channel resource blocks, and the downlink traffic and peak rate of successful transmission of the media access control layer;

[0011] A calculation module, configured to calculate a downlink remaining resource value in the target area according to the number of resource blocks occupied by the downlink service channel, the number of available downlink shared channel resource blocks, and the downlink traffic successfully transmitted by the media access control layer;

[0012] A determination module, configured to determine a remaining resource ratio of the target area according to the downlink remaining resource value and the peak rate, wherein the remaining resource ratio is a ratio of the downlink remaining resource value to the peak rate;

[0013] An adjustment module is used to adjust the allocation ratio of the sensing resources according to the remaining resource ratio.

[0014] In a third aspect, an embodiment of the present application provides an electronic device, comprising: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the resource allocation method of the synaesthesia base station as described in any one of the above items is implemented.

[0015] In a fourth aspect, an embodiment of the present application provides a computer-readable storage medium, on which computer program instructions are stored. When the computer program instructions are executed by a processor, the resource allocation method for a synaesthesia base station as described in any one of the above items is implemented.

[0016] In a fifth aspect, an embodiment of the present application provides a computer program product. When instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the resource allocation method for a synaesthesia base station as described in any one of the above.

[0017] The resource allocation method, device, equipment and computer storage medium of the synaesthesia base station of the embodiment of the present application can obtain the network performance index value of the target area served by the synaesthesia base station based on the preset resource ratio of communication resources and perception resources in the synaesthesia base station, and the network performance index value includes the number of resource blocks occupied by the downlink service channel, the number of available downlink shared channel resource blocks, the downlink traffic successfully transmitted by the media access control layer, and the peak rate; according to the number of resource blocks occupied by the downlink service channel, the number of available downlink shared channel resource blocks and the downlink traffic successfully transmitted by the media access control layer, the downlink remaining resource value in the target area is calculated; according to the downlink remaining resource value and the peak rate, the remaining resource ratio of the target area is determined, and the remaining resource ratio is the ratio of the downlink remaining resource value to the peak rate; according to the remaining resource ratio, the allocation ratio of the perception resource is adjusted. In this way, in the embodiment of the present application, by calculating the downlink remaining resource value of the target area served by the synaesthesia base station and determining the remaining resource ratio of the target area, and then dynamically adjusting the ratio of the perception resource according to the remaining resource ratio, it is possible to save communication resources and improve the accuracy of the perception function on the basis of ensuring that the communication function remains unchanged. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] In order to more clearly illustrate the technical solution of the embodiments of the present application, the following is a brief introduction to the drawings required for use in the embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without any creative work.

[0019] Figure 1 It is a flowchart of a resource allocation method for a synaesthesia base station provided in an embodiment of the present application;

[0020] Figure 2 It is a structural diagram of a synaesthesia-integrated frame structure provided in an embodiment of the present application;

[0021] Figure 3 It is a schematic diagram of perception symbols and communication symbols in time-division multiplexing spectrum resources provided in an embodiment of the present application;

[0022] Figure 4 This is a flowchart of a scenario embodiment provided by an embodiment of the present application;

[0023] Figure 5 It is a structural diagram of a resource allocation device of a synaesthesia base station provided in an embodiment of the present application;

[0024] Figure 6 It is a schematic diagram of the structure of an electronic device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0025] The features and exemplary embodiments of various aspects of the present application will be described in detail below. In order to make the purpose, technical solutions and advantages of the present application clearer, the present application will be further described in detail below in conjunction with the accompanying drawings and specific embodiments. It should be understood that the specific embodiments described herein are only intended to explain the present application, rather than to limit the present application. For those skilled in the art, the present application can be implemented without the need for some of these specific details. The following description of the embodiments is only to provide a better understanding of the present application by illustrating the examples of the present application.

[0026] It should be noted that, in this article, relational terms such as first and second, etc. are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the statement "include..." do not exclude the presence of other identical elements in the process, method, article or device including the elements.

[0027] With the development of mobile communication technology, base stations can not only provide traditional communication services, but also provide perception functions, so that base stations can monitor and understand the surrounding environment in real time, provide richer data support for the network, and thus optimize network performance and user experience. However, in existing tele-sensing integrated base stations, a fixed ratio is used to allocate resources for communication and perception, with communication as the main focus, more resources allocated to communication, and fewer resources allocated to perception. However, in this allocation method, in some relatively low-load scenarios, communication does not require so many resources, but perception requires more precise measurements. If it is allocated at a fixed ratio, it will cause a waste of communication resources and a decrease in perception measurement capabilities.

[0028] In order to solve the problems of the prior art, the embodiments of the present application provide a method, device, equipment and computer storage medium for allocating resources of a synaesthesia base station. The following first introduces the method for allocating resources of a synaesthesia base station provided by the embodiments of the present application.

[0029] Figure 1 FIG. 1 is a flow chart showing a method for allocating resources of a synaesthesia base station provided by an embodiment of the present application. Figure 1 As shown, a resource allocation method for a synaesthesia base station may include the following steps S101 to S104:

[0030] S101, based on the preset resource ratio of communication resources and perception resources in the synaesthesia base station, obtaining the network performance index value of the synaesthesia base station service target area, the network performance index value including the number of resource blocks occupied by downlink service channels, the number of available downlink shared channel resource blocks, the media access control layer successfully transmitted downlink traffic and peak rate;

[0031] S102, calculating the remaining downlink resource value in the target area according to the number of resource blocks occupied by the downlink service channel, the number of available downlink shared channel resource blocks, and the downlink traffic successfully transmitted by the media access control layer;

[0032] S103, determining a remaining resource ratio of the target area according to the downlink remaining resource value and the peak rate, where the remaining resource ratio is a ratio of the downlink remaining resource value to the peak rate;

[0033] S104: Adjust the allocation ratio of the sensing resources according to the remaining resource ratio.

[0034] The resource allocation method of the synaesthesia base station in the embodiment of the present application can obtain the network performance index value of the target area served by the synaesthesia base station based on the preset resource ratio of the communication resources and the perception resources in the synaesthesia base station, and the network performance index value includes the number of resource blocks occupied by the downlink service channel, the number of available downlink shared channel resource blocks, the downlink traffic successfully transmitted by the media access control layer, and the peak rate; according to the number of resource blocks occupied by the downlink service channel, the number of available downlink shared channel resource blocks, and the downlink traffic successfully transmitted by the media access control layer, the downlink remaining resource value in the target area is calculated; according to the downlink remaining resource value and the peak rate, the remaining resource ratio of the target area is determined, and the remaining resource ratio is the ratio of the downlink remaining resource value to the peak rate; according to the remaining resource ratio, the allocation ratio of the perception resources is adjusted. In this way, in the embodiment of the present application, by calculating the downlink remaining resource value of the target area served by the synaesthesia base station, and determining the remaining resource ratio of the target area, and then dynamically adjusting the ratio of the perception resources according to the remaining resource ratio, it is possible to not only save communication resources but also improve the accuracy of the perception function on the basis of ensuring that the communication function remains unchanged.

[0035] In S101, the above-mentioned interawareness base station is an interawareness integrated base station. The base station can superimpose radar perception on the orthogonal frequency division multiplexing (OFDM) communication technology to enable integrated operation of communication and perception. The interawareness base station uses time-division multiplexing spectrum resources, and communication resources and perception resources are time-division scheduled. A small amount of perception resources can realize the perception and detection of target features.

[0036] The above-mentioned synaesthesia base station mainly serves the communication function, and perception is an additional function. Therefore, the preset resource ratio of communication resources and perception resources in the above-mentioned synaesthesia base station is set to an initial resource ratio of 99:1 for communication and perception, that is, communication resources occupy 99% and perception resources occupy 1%. Of course, in the embodiment of the present application, the preset resource ratio of communication resources and perception resources in the synaesthesia base station is not limited to 99:1, but can also be other ratios. The specific ratio can be set according to actual needs and is not specifically limited here.

[0037] The above-mentioned target area may be a cell served by the telemetry base station.

[0038] The above network performance indicator values ​​may include the number of resource blocks occupied by downlink service channels, the number of available downlink shared channel resource blocks, the downlink traffic successfully transmitted by the media access control layer, and the peak rate.

[0039] Among them, the number of resource blocks occupied by the above-mentioned downlink service channel, that is, the number of PRBs occupied by the downlink service channel, PRB (full name Physical Resource Block) is the basic channel resource unit in the Long Term Evolution (LTE) network, and each PRB contains 12 consecutive subcarriers. The number of PRBs occupied by the downlink service channel refers to the number of PRBs occupied for transmitting downlink service data (such as PDSCH, Physical Downlink Shared Channel) within a specific time (such as a 1ms radio frame). This indicator reflects the number of resource blocks used for data transmission within a specific time and is an important indicator for measuring the utilization of network resources.

[0040] The above-mentioned available number of downlink shared channel resource blocks, i.e., available number of downlink PDSCH PRBs, refers to the total number of PRBs that a base station can use for downlink data transmission within a specific time. This includes all PRBs, minus those used to transmit control information (such as PDCCH, Physical Downlink Control Channel). The number of available PRBs is the basis of network planning and resource scheduling, which determines how many users a base station can serve simultaneously and how high a throughput can be provided.

[0041] The downlink traffic successfully transmitted by the above-mentioned media access control layer, that is, the downlink traffic successfully transmitted by the cell media access control (MAC) layer, refers to the amount of downlink data successfully transmitted to the user equipment at the MAC layer. This indicator includes not only user data, but also necessary control information. The MAC layer is a key layer responsible for functions such as mapping of logical channels to transmission channels, dynamic resource scheduling, rate adaptation and HARQ (Hybrid Automatic Repeat reQuest). The downlink traffic successfully transmitted by the MAC layer is an important indicator for measuring the efficiency of cell data transmission and network performance. The level of this indicator is affected by many factors, including the load of the network, the distribution of users, the diversity of service types, the quality of the wireless channel, and the configuration and optimization of the network.

[0042] The above peak rate = bandwidth * time slot ratio * planning utilization * scheduling times * number of MIMO streams * modulation capability * coding efficiency * unit correction. MIMO, Multiple Input Multiple Output, multiple input multiple output.

[0043] In S102, the downlink remaining resource value in the target area is calculated based on the number of resource blocks occupied by the downlink service channel, the number of available resource blocks of the downlink shared channel, and the downlink traffic volume successfully transmitted by the media access control layer. For example, the downlink success rate can be calculated based on the downlink traffic volume successfully transmitted by the media access control layer and the number of resource blocks occupied by the downlink service channel; the downlink utilization rate is calculated based on the number of resource blocks occupied by the downlink service channel and the number of available resource blocks of the downlink shared channel, and the downlink utilization rate is the ratio of the number of resource blocks occupied by the downlink service channel to the number of available resource blocks of the downlink shared channel; and the downlink resource block efficiency of the target area is obtained. When the downlink utilization rate is greater than or equal to a preset threshold and the downlink success rate is greater than or equal to the downlink resource block efficiency, the downlink remaining resource value in the target area is calculated based on the number of available resource blocks of the downlink shared channel, the downlink success rate, and the downlink traffic volume successfully transmitted by the media access control layer. Alternatively, when the downlink utilization rate is less than the preset threshold, or when the downlink utilization rate is greater than or equal to the preset threshold and the downlink success rate is less than the downlink resource block efficiency, the downlink remaining resource value in the target area is calculated based on the number of available resource blocks of the downlink shared channel, the downlink resource block efficiency, and the downlink traffic volume successfully transmitted by the media access control layer.

[0044] In S103, the above-mentioned remaining resource ratio may be a ratio of the downlink remaining resource value to the peak rate.

[0045] The remaining resource ratio of the target area is determined according to the downlink remaining resource value and the peak rate. Exemplarily, the remaining resource ratio may be obtained by dividing the downlink remaining resource value by the peak rate.

[0046] In S104, the allocation ratio of the sensing resources is adjusted according to the remaining resource ratio. For example, the adjustable range of the allocation ratio of the sensing resources is [1%, remaining resource ratio]. In some embodiments, the allocation ratio of the sensing resources is directly adjusted to the remaining resource ratio, so that the accuracy of the sensing function can be maximized while ensuring that the communication function remains unchanged.

[0047] In some embodiments, the above S102 may specifically include:

[0048] The downlink success rate is calculated according to the downlink traffic successfully transmitted by the media access control layer and the number of resource blocks occupied by the downlink service channel. The downlink success rate is the ratio of the downlink traffic successfully transmitted by the media access control layer to the number of resource blocks occupied by the downlink service channel.

[0049] The downlink remaining resource value in the target area is calculated according to the available number of downlink shared channel resource blocks, the downlink success rate and the downlink flow rate successfully transmitted by the media access control layer.

[0050] The above downlink success rate may be a ratio of the downlink traffic successfully transmitted by the media access control layer to the number of resource blocks occupied by the downlink service channel.

[0051] The downlink remaining resource value in the target area is calculated based on the available number of downlink shared channel resource blocks, the downlink success rate, and the downlink traffic successfully transmitted by the media access control layer. Exemplarily, the downlink remaining resource value in the target area can be calculated based on the available number of downlink shared channel resource blocks, the downlink success rate, and the downlink traffic successfully transmitted by the media access control layer according to the following formula:

[0052]

[0053] The number of available downlink PDSCH PRBs represents the number of available downlink shared channel resource blocks. Indicates the downlink success rate. The downlink traffic successfully transmitted by the cell MAC layer indicates the downlink traffic successfully transmitted by the media access control layer.

[0054] In the embodiment of the present application, the downlink success rate can be calculated by the number of downlink traffic successfully transmitted by the media access control layer and the number of resource blocks occupied by the downlink service channel. It is an important indicator for measuring network performance and can be used to reflect the proportion of successfully transmitted data. Combined with the available number of downlink shared channel resource blocks and the downlink traffic successfully transmitted by the media access control layer, the downlink remaining resource value in the target area can be accurately calculated, which can help network operators and engineers accurately evaluate the current state of the network and future needs, so as to make corresponding network optimization and resource allocation decisions.

[0055] As an implementation of the present application, in order to accurately calculate the downlink remaining resource value in the target area, before calculating the downlink remaining resource value in the target area according to the available number of downlink shared channel resource blocks, the downlink success rate, and the downlink traffic successfully transmitted by the media access control layer, the method further includes:

[0056] The downlink utilization rate is calculated according to the number of resource blocks occupied by the downlink traffic channel and the number of available resource blocks of the downlink shared channel, where the downlink utilization rate is the ratio of the number of resource blocks occupied by the downlink traffic channel to the number of available resource blocks of the downlink shared channel;

[0057] Obtaining downlink resource block efficiency of a target area;

[0058] The calculation of the downlink remaining resource value in the target area according to the available number of downlink shared channel resource blocks, the downlink success rate and the downlink traffic successfully transmitted by the media access control layer may specifically include:

[0059] When the downlink utilization rate is greater than or equal to the preset threshold and the downlink success rate is greater than or equal to the downlink resource block efficiency, the downlink remaining resource value in the target area is calculated based on the available number of downlink shared channel resource blocks, the downlink success rate and the downlink traffic successfully transmitted by the media access control layer.

[0060] The downlink utilization rate can be the ratio of the number of resource blocks occupied by the downlink service channel to the number of available resource blocks of the downlink shared channel. The preset threshold can be 5% by way of example, but the present application is not limited thereto and can also be set according to the actual needs of the user, which is not specifically limited here.

[0061] The downlink resource block efficiency may be used to characterize the utilization efficiency of the PRBs of the downlink in the LTE network of the target area. Exemplarily, it may be the average of the maximum values ​​of the downlink resource block efficiencies in multiple downlink utilization rate intervals.

[0062] In the embodiment of the present application, the situation where the downlink utilization rate is greater than or equal to the preset threshold value indicates that the network resources are fully utilized, which usually means that the network can meet the data transmission needs of the current users without excessive waste of resources, and the situation where the downlink success rate is greater than or equal to the downlink resource block efficiency means that the network not only has a high success rate when transmitting data, but also each resource block is effectively utilized. Therefore, based on the available number of downlink shared channel resource blocks, the downlink success rate and the successful downlink traffic transmitted by the media access control layer, the downlink remaining resource value in the target area can be further accurately calculated, thereby adjusting the proportion of perception resources and improving the accuracy of the perception function.

[0063] In some embodiments, the obtaining of the downlink resource block efficiency of the target area may specifically include:

[0064] Obtaining sample data of a target sample in a target area, where the target sample is a sample whose downlink traffic is greater than a preset traffic threshold and whose downlink utilization is greater than a preset threshold;

[0065] Dividing the sample data according to a plurality of preset downlink utilization intervals to obtain the maximum downlink resource block efficiency corresponding to each downlink utilization interval, where different downlink utilization intervals correspond to different maximum downlink resource block efficiency;

[0066] The downlink resource block efficiency of the target area is calculated according to the maximum downlink resource block efficiency values ​​of the multiple downlink utilization rate intervals, and the downlink resource block efficiency is the average value of the maximum downlink resource block efficiency values ​​of the multiple downlink utilization rate intervals.

[0067] The target sample may be a sample whose downlink traffic in the target area is greater than a preset traffic threshold and whose downlink utilization is greater than a preset threshold. The preset traffic threshold may be 1 GB, for example, but the present application is not limited thereto and may also be set according to actual user needs, which is not specifically limited here.

[0068] The sample data of the above target samples may include 7*24 hours of cleaned data of all cells in a certain scene, and the number of cells shall not be less than 1,000.

[0069] The above-mentioned preset multiple downlink utilization rate intervals may, illustratively, be intervals of 0-0.1, 0.1-0.2, 0.2-0.3, 0.3-0.4, 0.4-0.5, 0.5-0.6, 0.6-0.7, 0.7-0.8, 0.8-0.9 and 0.9-1.

[0070] The above-mentioned different downlink utilization rate intervals correspond to different maximum downlink resource block efficiency values. The maximum downlink resource block efficiency value corresponding to each downlink utilization rate interval may, for example, be 0-0.1 corresponding to 0.54; 0.1-0.2 corresponding to 0.82; 0.2-0.3 corresponding to 0.95; 0.3-0.4 corresponding to 0.37; 0.4-0.5 corresponding to 0.34; 0.5-0.6 corresponding to 0.34; 0.6-0.7 corresponding to 0.26; 0.7-0.8 corresponding to 0.36; 0.8-0.9 corresponding to 0.35; and 0.9-1 corresponding to 0.39.

[0071] The downlink resource block efficiency may be an average of maximum downlink resource block efficiencies in a plurality of downlink utilization rate intervals.

[0072] In an embodiment of the present application, by obtaining sample data of a target sample in which the downlink traffic in the target area is greater than a preset traffic threshold and the downlink utilization is greater than a preset threshold, and dividing the sample data according to a plurality of preset downlink utilization intervals, the maximum downlink resource block efficiency corresponding to each downlink utilization interval is obtained, and then the average of the maximum downlink resource block efficiency of the plurality of downlink utilization intervals is determined as the downlink resource block efficiency of the target area. In this way, based on the sample data of the target area, the downlink resource block efficiency of the target area can be accurately obtained in real time, thereby further improving the calculation accuracy of the downlink remaining resource value in the target area.

[0073] As another implementation of the present application, in order to ensure the reliability of data transmission in the synaesthesia base station, the above method further includes:

[0074] When the downlink utilization rate is less than a preset threshold, the downlink success rate is determined as the downlink resource block efficiency;

[0075] When the downlink utilization rate is greater than or equal to a preset threshold and the downlink success rate is less than the downlink resource block efficiency, the downlink success rate is determined as the downlink resource block efficiency.

[0076] The situation where the downlink utilization rate is less than the preset threshold means that network resources are not fully utilized. In this case, setting the downlink success rate as the downlink resource block efficiency can enable the network to allocate resources more efficiently, improve resource utilization, and thus improve the overall performance of the network.

[0077] The above-mentioned downlink utilization rate is greater than or equal to the preset threshold, and the downlink success rate is less than the downlink resource block efficiency, which means that although the utilization rate of network resources is very high, the actual proportion of successfully transmitted data is not ideal. This may be due to interference in the network, poor signal quality or other factors that cause data transmission failure or require retransmission, thereby reducing transmission efficiency. In this case, setting the downlink success rate to the downlink resource block efficiency can ensure that users can still obtain a stable service experience even under high load conditions.

[0078] In an embodiment of the present application, when the downlink utilization rate is less than a preset threshold, or the downlink utilization rate is greater than or equal to the preset threshold and the downlink success rate is less than the downlink resource block efficiency, the downlink success rate is determined as the downlink resource block efficiency. When allocating resources, the network can give priority to the probability of successful transmission, which can improve the service quality of key services and ensure the reliability of data transmission in the telecom base station.

[0079] In some embodiments, the calculation of the downlink remaining resource value in the target area according to the available number of downlink shared channel resource blocks, the downlink success rate, and the downlink traffic successfully transmitted by the media access control layer may specifically include:

[0080] According to the available number of downlink shared channel resource blocks, the downlink success rate and the downlink traffic successfully transmitted by the media access control layer, the downlink remaining resource value in the target area is calculated according to the following formula:

[0081]

[0082] The number of available downlink PDSCH PRBs represents the number of available downlink shared channel resource blocks. Indicates the downlink success rate. The downlink traffic successfully transmitted by the cell MAC layer indicates the downlink traffic successfully transmitted by the media access control layer.

[0083] In an embodiment of the present application, based on the available number of downlink shared channel resource blocks, the downlink success rate and the downlink traffic successfully transmitted by the media access control layer, the downlink remaining resource value in the target area can be accurately obtained according to the calculation formula, thereby accurately calculating the remaining resource ratio of the target area, and then realizing dynamic adjustment of the perceived resource ratio according to the remaining resource ratio.

[0084] In order to facilitate the understanding of the resource allocation method of the synaesthesia base station in the embodiment of the present application, the actual application process of the resource allocation method of the synaesthesia base station is described as follows:

[0085] Synaesthesia is to superimpose radar perception on OFDM communication technology to integrate communication and perception. Its frame structure is as follows: Figure 2 shown.

[0086] By using time-division multiplexing of spectrum resources and time-division scheduling of communication and perception, a small amount of resources can be used to detect target features. Taking the design of perception signals under the current 4.9G 7:3 time slot ratio as an example, the perception symbols and communication symbols are as follows Figure 3 shown.

[0087] The wireless signal echo sensed by the radar contains a lot of information about the reflected target. By processing it, the motion information of the target's relative distance and relative speed is extracted. The distance measurement resolution is:

[0088]

[0089] In formula ①, δ r represents the distance resolution, c represents the speed of light, and B represents the signal bandwidth;

[0090] The speed measurement resolution is:

[0091]

[0092] In formula ②, δ v represents the speed resolution, c represents the speed of light, f represents the frequency of the wireless signal, and t pIndicates the duration of the wireless signal;

[0093] From formula ①, we know that to obtain a higher distance resolution, a sufficiently large signal bandwidth is required; from formula ②, for a radar with a fixed operating frequency band, to obtain a higher speed resolution, the signal needs to have a longer duration. Therefore, in order to improve the accuracy of perception measurement, it is necessary to increase the length of time and bandwidth occupied by the perception symbol.

[0094] However, increasing the duration and bandwidth ratio of perception symbols will reduce the symbols and bandwidth occupied by communication, which will affect the user's communication perception experience. How to balance perception and communication is an urgent problem to be solved.

[0095] The embodiment of the present application proposes an adaptive resource allocation method in a tele-sensing integrated base station to solve the above problems. By modeling the users and experiences in the communication, the minimum resources required by the users in the current communication environment are found, and then the communication resources and perception resources are allocated according to the current resources. Compared with the traditional fixed ratio allocation method, the perception detection capability is effectively improved while fully considering the experience of the current communication users, and it can be adjusted dynamically in real time, so that the spectrum resources can be more fully utilized.

[0096] The following is a description of a specific practical case. The specific flow chart of the embodiment of the present application is as follows Figure 4 As shown:

[0097] 1. Set the initial resource ratio for communication and perception

[0098] The current synesthesia base station (i.e. the synesthesia base station mentioned above) mainly serves communication, and perception is an additional function. Therefore, the initial resource ratio of communication resources and perception resources (i.e. the above preset resource ratio) is set to 99:1, that is, communication occupies 99% and perception occupies 1%.

[0099] 2. Calculate the current remaining communication resource ratio (i.e. the above-mentioned remaining downlink resource ratio):

[0100] The sensing symbol occupies the proportion of downlink symbols, so the cell remaining resources are mainly calculated for the downlink remaining resources.

[0101] First, relevant indicators (equivalent to the above-mentioned network performance indicator values) are obtained: the number of PRBs occupied by downlink service channels (i.e., the number of resource blocks occupied by the above-mentioned downlink service channels), the number of available downlink PDSCH PRBs (i.e., the number of available downlink shared channel resource blocks), and the downlink traffic volume successfully transmitted by the cell MAC layer (i.e., the downlink traffic volume successfully transmitted by the above-mentioned media access control layer).

[0102] The calculation formula of the cell downlink remaining resources (i.e. the downlink remaining resource value in the above target area) is as follows:

[0103]

[0104] In the above formula, The value of (i.e. the above-mentioned downlink success rate) is calculated as follows:

[0105]

[0106] When the downlink utilization is less than 5%,

[0107] When the downlink utilization rate is ≥5%,

[0108] like hour,

[0109] like hour,

[0110] ω (i.e., the above-mentioned downlink resource block efficiency) is a constant, which is inferred based on the traffic model of the same cell scenario and calculated using 7*24 data. When the traffic model changes, it can be updated and adjusted in time.

[0111] The specific calculation method of ω is as follows:

[0112] 1) First, obtain sample data, which includes 7*24 hours data of all cells in a certain scene (equivalent to the above target area), and the number of cells is not less than 1000;

[0113] 2) Then clean the sample data, filter the daily downlink traffic busy hour data of all cells in the area, then filter the samples with downlink traffic greater than 1GB, and then filter the samples with downlink utilization greater than 5%; and obtain the final sample (i.e. the above-mentioned target sample).

[0114] 3) Divide the downlink utilization rate into intervals, each of which is 10%, as shown in Table 1 below, and count the maximum values ​​of the downlink RB efficiency index within the corresponding intervals (i.e., the maximum value of the downlink resource block efficiency mentioned above);

[0115] 4) Calculate the value of ω: ω = AVERAGE (maximum value item: downlink RB efficiency)

[0116] Table 1:

[0117]

[0118]

[0119] The calculation example is shown in Table 2 below:

[0120]

[0121] The calculation formula is as follows:

[0122]

[0123]

[0124] 3. Determine the adjustable ratio of perception resources:

[0125] From the above calculation, it can be known that the remaining resources of the cell are shown in Table 3 below:

[0126] NCGI 460-00-1XXX-93 460-00-1XXX-12 Community Name XXX-3 XXX-2 Coverage Type outdoor outdoor Equipment manufacturers XXX XXX Remaining resources in the cell downlink Mbps (calculated value) 420.43 1494.77

[0127] The remaining resources of the cell are divided by the maximum peak capacity of the cell to obtain the remaining resource ratio of the cell, as shown in Table 4 below:

[0128]

[0129] Peak rate = bandwidth * time slot ratio * planned utilization * number of scheduling times * number of MIMO streams * modulation capability * coding efficiency * unit correction.

[0130] Therefore, it can be determined that the adjustable range of sensing resources is [1%, the proportion of remaining resources in the cell].

[0131] 4. Dynamically allocate perception resource ratios:

[0132] The allocatable ratio of sensing resources can be directly adjusted to the ratio of remaining resources in the cell. Alternatively, the ratio of sensing resources can be dynamically adjusted within the adjustable range of sensing resources according to parameters such as the distance of the sensing target and the speed of the sensing target to improve the accuracy of sensing detection.

[0133] The above-mentioned distance of the perceived target and the speed of the perceived target can be calculated by the above-mentioned formulas ① and ②.

[0134] Based on the resource allocation method of the synaesthesia base station provided in the above embodiment, accordingly, the present application also provides a specific implementation of the resource allocation device of the synaesthesia base station. Please refer to the following embodiment.

[0135] like Figure 5 As shown, the resource allocation device 500 of the synaesthesia base station provided in the embodiment of the present application may include the following modules: an acquisition module 501 , a calculation module 502 , a determination module 503 and an adjustment module 504 .

[0136] The acquisition module 501 is used to acquire the network performance index value of the target area served by the synaesthesia base station based on the preset resource ratio of the communication resources and the perception resources in the synaesthesia base station, and the network performance index value includes the number of resource blocks occupied by the downlink service channel, the number of available resource blocks of the downlink shared channel, the downlink flow rate and peak rate of the successful transmission of the media access control layer;

[0137] A calculation module 502 is used to calculate the downlink remaining resource value in the target area according to the number of resource blocks occupied by the downlink service channel, the number of available downlink shared channel resource blocks and the downlink traffic successfully transmitted by the media access control layer;

[0138] The determination module 503 is used to determine the remaining resource ratio of the target area according to the downlink remaining resource value and the peak rate, where the remaining resource ratio is the ratio of the downlink remaining resource value to the peak rate;

[0139] The adjustment module 504 is used to adjust the allocation ratio of the sensing resources according to the remaining resource ratio.

[0140] The resource allocation device of the synaesthesia base station in the embodiment of the present application can obtain the network performance index value of the target area served by the synaesthesia base station based on the preset resource ratio of the communication resources and the perception resources in the synaesthesia base station, and the network performance index value includes the number of resource blocks occupied by the downlink service channel, the number of available downlink shared channel resource blocks, the downlink traffic successfully transmitted by the media access control layer, and the peak rate; according to the number of resource blocks occupied by the downlink service channel, the number of available downlink shared channel resource blocks, and the downlink traffic successfully transmitted by the media access control layer, the downlink remaining resource value in the target area is calculated; according to the downlink remaining resource value and the peak rate, the remaining resource ratio of the target area is determined, and the remaining resource ratio is the ratio of the downlink remaining resource value to the peak rate; according to the remaining resource ratio, the allocation ratio of the perception resources is adjusted. In this way, in the embodiment of the present application, by calculating the downlink remaining resource value of the target area served by the synaesthesia base station and determining the remaining resource ratio of the target area, and then dynamically adjusting the ratio of the perception resources according to the remaining resource ratio, it is possible to not only save communication resources but also improve the accuracy of the perception function on the basis of ensuring that the communication function remains unchanged.

[0141] In some embodiments, the calculation module 502 may specifically include:

[0142] The first calculation unit is used to calculate the downlink success rate according to the downlink traffic successfully transmitted by the media access control layer and the number of resource blocks occupied by the downlink service channel, wherein the downlink success rate is the ratio of the downlink traffic successfully transmitted by the media access control layer to the number of resource blocks occupied by the downlink service channel;

[0143] The second calculation unit is used to calculate the downlink remaining resource value in the target area according to the available number of downlink shared channel resource blocks, the downlink success rate and the downlink traffic successfully transmitted by the media access control layer.

[0144] As an implementation of the present application, in order to accurately calculate the downlink remaining resource value in the target area, the calculation module 502 may further include:

[0145] The third calculation unit is used to calculate the downlink utilization rate according to the number of resource blocks occupied by the downlink service channel and the available number of downlink shared channel resource blocks, where the downlink utilization rate is the ratio of the number of resource blocks occupied by the downlink service channel to the available number of downlink shared channel resource blocks;

[0146] An acquisition unit, used for acquiring a downlink resource block efficiency of a target area;

[0147] The above-mentioned second calculation unit is specifically used to calculate the downlink remaining resource value in the target area according to the available number of downlink shared channel resource blocks, the downlink success rate and the downlink traffic successfully transmitted by the media access control layer when the downlink utilization rate is greater than or equal to a preset threshold and the downlink success rate is greater than or equal to the downlink resource block efficiency.

[0148] In some embodiments, the acquisition unit may specifically include:

[0149] An acquisition subunit, used to acquire sample data of a target sample in a target area, where the target sample is a sample whose downlink traffic is greater than a preset traffic threshold and whose downlink utilization is greater than a preset threshold;

[0150] A division subunit is used to divide the sample data according to a plurality of preset downlink utilization intervals to obtain the maximum downlink resource block efficiency corresponding to each downlink utilization interval, and different downlink utilization intervals correspond to different downlink resource block efficiency maximum values;

[0151] The calculation subunit is used to calculate the downlink resource block efficiency of the target area according to the maximum downlink resource block efficiency of multiple downlink utilization rate intervals, and the downlink resource block efficiency is the average of the maximum downlink resource block efficiency of multiple downlink utilization rate intervals.

[0152] As another implementation of the present application, in order to ensure the reliability of data transmission in the synaesthesia base station, the calculation module 502 may also include:

[0153] A first determining unit, configured to determine the downlink success rate as the downlink resource block efficiency when the downlink utilization rate is less than a preset threshold;

[0154] The second determining unit is configured to determine the downlink success rate as the downlink resource block efficiency when the downlink utilization rate is greater than or equal to a preset threshold and the downlink success rate is less than the downlink resource block efficiency.

[0155] In some embodiments, the second calculation unit may be specifically configured to calculate the downlink remaining resource value in the target area according to the following formula based on the available number of downlink shared channel resource blocks, the downlink success rate, and the downlink traffic successfully transmitted by the media access control layer:

[0156]

[0157] The number of available downlink PDSCH PRBs represents the number of available downlink shared channel resource blocks. Indicates the downlink success rate. The downlink traffic successfully transmitted by the cell MAC layer indicates the downlink traffic successfully transmitted by the media access control layer.

[0158] Figure 6 A schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present application is shown.

[0159] The electronic device may include a processor 601 and a memory 602 storing computer program instructions.

[0160] Specifically, the processor 601 may include a central processing unit (CPU), or an application specific integrated circuit (ASIC), or may be configured to implement one or more integrated circuits of the embodiments of the present application.

[0161] The memory 602 may include a large capacity memory for data or instructions. By way of example and not limitation, the memory 602 may include a hard disk drive (HDD), a floppy disk drive, a flash memory, an optical disk, a magneto-optical disk, a magnetic tape, or a universal serial bus (USB) drive or a combination of two or more of these. In appropriate cases, the memory 602 may include a removable or non-removable (or fixed) medium. In appropriate cases, the memory 602 may be inside or outside the integrated gateway disaster recovery device. In a specific embodiment, the memory 602 is a non-volatile solid-state memory.

[0162] In certain embodiments, the memory 602 may include a read-only memory (ROM), a random access memory (RAM), a magnetic disk storage medium device, an optical storage medium device, a flash memory device, an electrical, optical or other physical / tangible memory storage device. Thus, in general, the memory includes one or more tangible (non-transitory) computer-readable storage media (e.g., a memory device) encoded with software including computer-executable instructions, and when the software is executed (e.g., by one or more processors), it is operable to perform the operations described with reference to the method according to an aspect of the present disclosure.

[0163] The processor 601 reads and executes the computer program instructions stored in the memory 602 to implement any one of the resource allocation methods for the synaesthesia base station in the above embodiments.

[0164] In one example, the electronic device may further include a communication interface 603 and a bus 610. Figure 6 As shown, the processor 601, the memory 602, and the communication interface 603 are connected via a bus 610 and communicate with each other.

[0165] The communication interface 603 is mainly used to implement communication between various modules, devices, units and / or equipment in the embodiments of the present application.

[0166] Bus 610 includes hardware, software or both, and the parts of electronic equipment are coupled to each other. For example, but not limitation, bus may include accelerated graphics port (AGP) or other graphics bus, enhanced industrial standard architecture (EISA) bus, front side bus (FSB), hypertransport (HT) interconnection, industrial standard architecture (ISA) bus, infinite bandwidth interconnection, low pin count (LPC) bus, memory bus, micro channel architecture (MCA) bus, peripheral component interconnection (PCI) bus, PCI-Express (PCI-X) bus, serial advanced technology attachment (SATA) bus, video electronics standard association local (VLB) bus or other suitable bus or two or more of these combinations. In appropriate cases, bus 610 may include one or more buses. Although the present application embodiment describes and shows a specific bus, the application considers any suitable bus or interconnection.

[0167] The electronic device can execute the resource allocation method of the synaesthesia base station in the embodiment of the present application, thereby realizing the combination Figure 1 and Figure 5 The invention describes a method and device for allocating resources of a synaesthesia base station.

[0168] In addition, in combination with the resource allocation method of the synaesthesia base station in the above embodiment, the embodiment of the present application can provide a computer-readable storage medium for implementation. The computer-readable storage medium stores computer program instructions; when the computer program instructions are executed by the processor, any one of the resource allocation methods of the synaesthesia base station in the above embodiment is implemented.

[0169] In combination with the resource allocation method for the synaesthesia base station in the above embodiment, an embodiment of the present application may provide a computer program product. When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes any one of the resource allocation methods for the synaesthesia base station as above.

[0170] It should be clear that the present application is not limited to the specific configuration and processing described above and shown in the figures. For the sake of simplicity, a detailed description of the known method is omitted here. In the above embodiments, several specific steps are described and shown as examples. However, the method process of the present application is not limited to the specific steps described and shown, and those skilled in the art can make various changes, modifications and additions, or change the order between the steps after understanding the spirit of the present application.

[0171] The functional blocks shown in the above-described block diagram can be implemented as hardware, software, firmware or a combination thereof. When implemented in hardware, it can be, for example, an electronic circuit, an application specific integrated circuit (ASIC), appropriate firmware, a plug-in, a function card, etc. When implemented in software, the elements of the present application are programs or code segments that are used to perform the required tasks. The program or code segment can be stored in a machine-readable medium, or transmitted on a transmission medium or a communication link by a data signal carried in a carrier wave. "Machine-readable medium" can include any medium capable of storing or transmitting information. Examples of machine-readable media include electronic circuits, semiconductor memory devices, ROM, flash memory, erasable ROM (EROM), floppy disks, CD-ROMs, optical disks, hard disks, optical fiber media, radio frequency (RF) links, etc. The code segment can be downloaded via a computer network such as the Internet, an intranet, etc.

[0172] It should also be noted that the exemplary embodiments mentioned in this application describe some methods or systems based on a series of steps or devices. However, this application is not limited to the order of the above steps, that is, the steps can be performed in the order mentioned in the embodiment, or in a different order from the embodiment, or several steps can be performed simultaneously.

[0173] Aspects of the present disclosure are described above with reference to the flowchart and / or block diagram of the method, device (system) and computer program product according to the embodiment of the present disclosure. It should be understood that each box in the flowchart and / or block diagram and the combination of each box in the flowchart and / or block diagram can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device to produce a machine so that these instructions executed by the processor of the computer or other programmable data processing device enable the implementation of the function / action specified in one or more boxes of the flowchart and / or block diagram. Such a processor can be, but is not limited to, a general-purpose processor, a special-purpose processor, a special application processor, or a field programmable logic circuit. It can also be understood that each box in the block diagram and / or flowchart and the combination of boxes in the block diagram and / or flowchart can also be implemented by dedicated hardware that performs a specified function or action, or can be implemented by a combination of dedicated hardware and computer instructions.

[0174] The above is only a specific implementation of the present application. Those skilled in the art can clearly understand that for the convenience and simplicity of description, the specific working processes of the systems, modules and units described above can refer to the corresponding processes in the aforementioned method embodiments, and will not be repeated here. It should be understood that the protection scope of the present application is not limited to this. Any technician familiar with the technical field can easily think of various equivalent modifications or replacements within the technical scope disclosed in this application, and these modifications or replacements should be included in the protection scope of this application.

Claims

1. A resource allocation method for a synaesthesia base station, characterized in that: include: Based on the preset resource ratio of communication resources and perception resources in the synaesthesia base station, a network performance indicator value of the target area served by the synaesthesia base station is obtained, wherein the network performance indicator value includes the number of resource blocks occupied by downlink service channels, the number of available downlink shared channel resource blocks, the downlink traffic successfully transmitted by the media access control layer, and the peak rate; Calculate the remaining downlink resource value in the target area according to the number of resource blocks occupied by the downlink service channel, the available number of downlink shared channel resource blocks and the downlink traffic successfully transmitted by the media access control layer; Determine, according to the downlink remaining resource value and the peak rate, a remaining resource ratio of the target area, wherein the remaining resource ratio is a ratio of the downlink remaining resource value to the peak rate; According to the remaining resource ratio, the allocation ratio of the sensing resources is adjusted.

2. The method according to claim 1, characterized in that The calculating the downlink remaining resource value in the target area according to the number of resource blocks occupied by the downlink service channel, the available number of downlink shared channel resource blocks and the downlink traffic successfully transmitted by the media access control layer includes: A downlink success rate is calculated according to the downlink traffic volume successfully transmitted by the media access control layer and the number of resource blocks occupied by the downlink service channel, wherein the downlink success rate is the ratio of the downlink traffic volume successfully transmitted by the media access control layer to the number of resource blocks occupied by the downlink service channel; The downlink remaining resource value in the target area is calculated according to the available number of downlink shared channel resource blocks, the downlink success rate and the downlink flow rate successfully transmitted by the media access control layer.

3. The method according to claim 2, characterized in that Before calculating the downlink remaining resource value in the target area according to the available number of downlink shared channel resource blocks, the downlink success rate and the downlink traffic successfully transmitted by the media access control layer, the method further includes: A downlink utilization rate is calculated according to the number of resource blocks occupied by the downlink traffic channel and the available number of resource blocks of the downlink shared channel, wherein the downlink utilization rate is the ratio of the number of resource blocks occupied by the downlink traffic channel to the available number of resource blocks of the downlink shared channel; Obtaining a downlink resource block efficiency of the target area; The calculating and obtaining the downlink remaining resource value in the target area according to the available number of downlink shared channel resource blocks, the downlink success rate and the downlink flow successfully transmitted by the media access control layer includes: When the downlink utilization rate is greater than or equal to a preset threshold and the downlink success rate is greater than or equal to the downlink resource block efficiency, the downlink remaining resource value in the target area is calculated based on the available number of downlink shared channel resource blocks, the downlink success rate and the downlink traffic successfully transmitted by the media access control layer.

4. The method according to claim 3, characterized in that The obtaining the downlink resource block efficiency of the target area includes: Acquire sample data of a target sample in the target area, wherein the target sample is a sample whose downlink traffic is greater than a preset traffic threshold and whose downlink utilization rate is greater than the preset threshold; Dividing the sample data according to a plurality of preset downlink utilization intervals to obtain a maximum downlink resource block efficiency value corresponding to each downlink utilization interval, where different downlink utilization intervals correspond to different maximum downlink resource block efficiency values; The downlink resource block efficiency of the target area is calculated according to the maximum downlink resource block efficiency values ​​of the multiple downlink utilization rate intervals, and the downlink resource block efficiency is an average of the maximum downlink resource block efficiency values ​​of the multiple downlink utilization rate intervals.

5. The method according to claim 3, characterized in that: The method further comprises: When the downlink utilization rate is less than the preset threshold, determining the downlink success rate as the downlink resource block efficiency; When the downlink utilization rate is greater than or equal to the preset threshold and the downlink success rate is less than the downlink resource block efficiency, the downlink success rate is determined as the downlink resource block efficiency.

6. The method according to claim 2, characterized in that The calculating and obtaining the downlink remaining resource value in the target area according to the available number of downlink shared channel resource blocks, the downlink success rate and the downlink flow successfully transmitted by the media access control layer includes: According to the available number of downlink shared channel resource blocks, the downlink success rate and the downlink traffic volume successfully transmitted by the media access control layer, the downlink remaining resource value in the target area is calculated according to the following formula: The available number of downlink PDSCH PRBs represents the available number of downlink shared channel resource blocks. Indicates the downlink success rate, and the downlink traffic successfully transmitted by the cell MAC layer indicates the downlink traffic successfully transmitted by the media access control layer.

7. A resource allocation device for a synaesthesia base station, characterized in that: The device comprises: An acquisition module is used to acquire a network performance indicator value of a target area served by the synaesthesia base station based on a preset resource ratio of communication resources and perception resources in the synaesthesia base station, wherein the network performance indicator value includes the number of resource blocks occupied by downlink service channels, the number of available downlink shared channel resource blocks, and the downlink traffic and peak rate of successful transmission of the media access control layer; A calculation module, configured to calculate a downlink remaining resource value in the target area according to the number of resource blocks occupied by the downlink service channel, the number of available downlink shared channel resource blocks, and the downlink traffic successfully transmitted by the media access control layer; A determination module, configured to determine a remaining resource ratio of the target area according to the downlink remaining resource value and the peak rate, wherein the remaining resource ratio is a ratio of the downlink remaining resource value to the peak rate; An adjustment module is used to adjust the allocation ratio of the sensing resources according to the remaining resource ratio.

8. An electronic device, characterized in that: The device comprises: a processor and a memory storing computer program instructions; when the processor executes the computer program instructions, the resource allocation method for the synaesthesia base station according to any one of claims 1 to 6 is implemented.

9. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer program instructions, and when the computer program instructions are executed by a processor, the resource allocation method for a synaesthesia base station according to any one of claims 1 to 6 is implemented.

10. A computer program product, characterized in that When the instructions in the computer program product are executed by a processor of an electronic device, the electronic device executes the resource allocation method for a synaesthesia base station according to any one of claims 1 to 6.

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