Wireless spectrum efficiency probability distribution determination method, device, equipment and medium

Abstract

The invention discloses a wireless spectrum efficiency probability distribution determination method and device, equipment and a medium, and belongs to the technical field of wireless communication networks. The method comprises the following steps: determining the total transmission byte quantity according to the transmission byte quantity corresponding to each spectrum efficiency level; determining the distribution probability of each spectrum efficiency level according to the transmission byte number corresponding to each spectrum efficiency level and the total transmission byte number; and determining a reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability. According to the technical scheme, the distribution probability and the reliability probability of each frequency spectrum efficiency level are determined according to the transmission byte number corresponding to each frequency spectrum efficiency level and the total transmission byte number, so that the frequency spectrum efficiency probability distribution model can be constructed for the wireless network cellular cell with the capability of dynamically adjusting the frequency spectrum efficiency; the actual utilization mode and the transmission stability of the frequency spectrum resources of the cellular cell are quantified, and data support is provided for dynamic resource scheduling.

Description

Technical Field

[0001] The present application belongs to the field of wireless communication network technology, and specifically relates to a method, apparatus, device and medium for determining the probability distribution of wireless spectrum efficiency. Background Art

[0002] In the field of 5G+ smart manufacturing, estimating and statistically analyzing the average spectral efficiency (ASE) of cellular cell wireless transmission plays a key role. It is directly related to the performance, resource utilization efficiency, and intelligence level of the wireless communication system within the factory. It is the core KPI (Key Performance Indicator) for measuring 5G industrial wireless performance. Its statistics and optimization directly determine whether the smart manufacturing system can achieve reliable "wireless replacement of wired" connections and provide underlying support for production efficiency, flexibility, and cost control.

[0003] Cellular cells in current wireless networks generally use AMC (Adaptive Modulation and Coding) and / or MIMO (Multiple-Input Multiple-Output) technology. This results in the spectrum efficiency between each terminal device and the cell being relatively independent and changing dynamically with the movement of the terminal device.

[0004] If the spectrum efficiency of multiple terminal devices is simply averaged to obtain the average spectrum efficiency, and the service reliability of the cellular cell is determined based on this average spectrum efficiency, the dynamic differences and distribution characteristics of the spectrum efficiency between terminal devices may be ignored, causing the reliability assessment results to deviate from the actual scenario and fail to accurately reflect the actual transmission quality of the cellular cell.

[0005] Therefore, how to adapt to the complex scenarios of dynamic access of multiple terminal devices and time-varying channels and obtain accurate service reliability information of cellular cells is an urgent problem that people in this field need to solve. Summary of the Invention

[0006] The present application provides a method, apparatus, device, and medium for determining the probability distribution of wireless spectrum efficiency, with the aim of constructing a spectrum efficiency probability distribution model for wireless network cellular cells capable of dynamically adjusting spectrum efficiency, quantifying the actual utilization pattern and transmission stability of cellular cell spectrum resources, and providing data support for dynamic resource scheduling.

[0007] In a first aspect, the present application provides a method for determining a probability distribution of wireless spectrum efficiency, the method comprising: Acquiring preset spectrum efficiency information of a cellular cell; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; Obtaining a number of transmission bytes corresponding to each spectrum efficiency level, and determining a total number of transmission bytes of the cell according to the number of transmission bytes; Determining a distribution probability of each spectrum efficiency level according to the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; The reliability probability corresponding to each spectrum efficiency level is determined according to the spectrum efficiency level and the distribution probability.

[0008] In a second aspect, the present application provides a device for determining a probability distribution of wireless spectrum efficiency, the device comprising: A preset information acquisition module, configured to acquire preset spectrum efficiency information of a cellular cell; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; a byte quantity determination module, configured to obtain the number of transmission bytes corresponding to each spectrum efficiency level, and determine the total number of transmission bytes of the cell according to the number of transmission bytes; a distribution probability determination module, configured to determine the distribution probability of each spectrum efficiency level according to the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; The reliability probability determination module is configured to determine the reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability.

[0009] In a third aspect, the present application provides an electronic device comprising a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method described in the first aspect.

[0010] In a fourth aspect, the present application provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the steps of the method described in the first aspect are implemented.

[0011] In the present application, preset spectrum efficiency information of a cell is obtained; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; the number of transmission bytes corresponding to each spectrum efficiency level is obtained, and the total number of transmission bytes of the cell is determined based on the number of transmission bytes; the distribution probability of each spectrum efficiency level is determined based on the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; and the reliability probability corresponding to each spectrum efficiency level is determined based on the spectrum efficiency level and the distribution probability. The above-mentioned wireless spectrum efficiency probability distribution determination method, by determining the distribution probability and reliability probability of each spectrum efficiency level based on the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes, can construct a spectrum efficiency probability distribution model for a wireless network cell with the ability to dynamically adjust spectrum efficiency, quantify the actual utilization pattern and transmission stability of the cell's spectrum resources, and provide data support for dynamic resource scheduling. BRIEF DESCRIPTION OF THE DRAWINGS

[0012] Figure 1 1 is a flow chart of a method for determining a probability distribution of wireless spectrum efficiency provided in the first embodiment of the present application; Figure 2 1 is a flow chart of a method for determining the probability distribution of wireless spectrum efficiency provided in the second embodiment of the present application; Figure 3 1 is a flow chart of a method for determining a probability distribution of wireless spectrum efficiency provided in the third embodiment of the present application; Figure 4 This is a schematic diagram of the structure of the apparatus for determining the probability distribution of wireless spectrum efficiency provided in the fourth embodiment of the present application; Figure 5 This is a structural diagram of the electronic device provided in Example 5 of the present application. DETAILED DESCRIPTION

[0013] To further clarify the objectives, technical solutions, and advantages of this application, specific embodiments of the present application are described in further detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are intended only to illustrate this application and are not intended to limit it. It should also be noted that, for ease of description, the drawings only illustrate portions relevant to this application, not all of them. Before discussing the exemplary embodiments in more detail, it should be noted that some exemplary embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts depict the various operations (or steps) as sequential processes, many of the operations can be performed in parallel, concurrently, or simultaneously. Furthermore, the order of the operations can be rearranged. The process may terminate upon completion of its operations, but may also include additional steps not shown in the accompanying drawings. The process may correspond to a method, function, procedure, subroutine, subprogram, or the like.

[0014] The following will be combined with the accompanying drawings in the embodiments of the present application to clearly describe the technical solutions in the embodiments of the present application. Obviously, the embodiments described are part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field are within the scope of protection of this application.

[0015] The terms "first," "second," and the like in the specification and claims of this application are used to distinguish similar objects, and are not used to describe a specific order or precedence. It should be understood that the terms used in this manner are interchangeable where appropriate, so that the embodiments of this application can be implemented in an order other than that illustrated or described herein, and that the objects distinguished by "first," "second," and the like are generally of the same type, and do not limit the number of objects; for example, the first object can be one or more. In addition, the term "and / or" in the specification and claims refers to at least one of the connected objects, and the character " / " generally indicates that the objects connected are in an "or" relationship.

[0016] The following describes in detail the method, apparatus, device, and medium for determining the probability distribution of wireless spectrum efficiency provided by the embodiments of the present application through specific embodiments and their application scenarios in conjunction with the accompanying drawings.

[0017] Example 1 Figure 1 FIG. 1 is a flow chart of a method for determining the probability distribution of wireless spectrum efficiency provided in the first embodiment of the present application. Figure 1 As shown, the specific steps include: S101, obtaining preset spectrum efficiency information of a cellular cell; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; First, this application is applicable to scenarios where terminal devices connect to cellular cells for wireless transmission. Based on the above usage scenarios, it can be understood that the execution entity of this application can be a wireless network management platform. Specifically, the acquisition of preset spectrum efficiency information, determination of the number of transmitted bytes, and determination of distribution probability and reliability probability can be performed by the cellular cell management platform. The obtained spectrum efficiency probability distribution of cellular cell wireless transmission can be used to guide the refined planning and optimization decision-making of the wireless network.

[0018] A wireless network uses radio waves as a transmission medium for data transmission and communication. Unlike traditional wired networks, wireless networks are free from cable constraints and offer high mobility, providing users with flexible and convenient network access. A cell is the basic geographic coverage unit in a wireless network. A wireless network management platform is a software system or hardware device used to manage and monitor wireless networks. It centrally manages and controls various elements of a wireless network, including cells, to ensure efficient operation, optimize performance, and provide a positive user experience.

[0019] The preset spectrum efficiency information may be pre-set information related to the spectrum efficiency of a cell and may include a preset number of spectrum efficiency levels ranked from smallest to largest. Each spectrum efficiency level corresponds to a specific spectrum efficiency. Specifically, spectrum efficiency is a key metric for measuring a wireless network's ability to utilize spectrum resources. It is generally defined as the ratio of data transmission rate to occupied spectrum bandwidth. Spectrum efficiency is affected by factors such as modulation scheme, coding efficiency, channel quality, and interference level.

[0020] The preset number of spectrum efficiency levels sorted from small to large may be expressed as follows:

[0021] in, is the specific spectrum efficiency corresponding to the i-th spectrum efficiency level, and N is a preset number.

[0022] Optionally, this solution is applicable to wireless networks that use AMC (Adaptive Modulation and Coding) technology and / or MIMO (Multiple-Input Multiple-Output) technology and have the ability to dynamically adjust wireless transmission spectrum efficiency.

[0023] Accordingly, the pre-number is equal to the product of the number of modulation and coding scheme levels supported by AMC (if AMC technology is not used, substitute 1) and the number of spatial multi-stream transmission layers supported by MIMO (if MIMO technology is not used, substitute 1).

[0024] The preset spectrum efficiency information of the cellular cell is generally directly recorded and stored in the wireless network management platform, so the preset spectrum efficiency information of the cellular cell can be directly read.

[0025] S102, obtaining the number of transmission bytes corresponding to each spectrum efficiency level, and determining the total number of transmission bytes of the cell according to the number of transmission bytes; The number of bytes transmitted corresponding to a spectrum efficiency level may refer to the total number of bytes transmitted between all terminal devices and the base station within the cell using that spectrum efficiency level within a specified time period. A byte is a unit of measurement used in computer information technology to measure storage capacity.

[0026] The method for obtaining the number of transmission bytes corresponding to each spectrum efficiency level can be to obtain the number of transmission bytes of each terminal device at the current spectrum efficiency level for the current spectrum efficiency level, add the number of transmission bytes to obtain the number of transmission bytes corresponding to the current spectrum efficiency level, traverse each spectrum efficiency level, and obtain the number of transmission bytes corresponding to each spectrum efficiency level.

[0027] The total number of bytes transmitted for a cell may refer to the total number of bytes transmitted between all terminal devices and a base station within the cell using all spectral efficiency levels within a specified time period. Determining the total number of bytes transmitted for a cell based on the number of bytes transmitted may involve summing the number of bytes transmitted corresponding to each spectral efficiency level to obtain the total number of bytes transmitted for the cell.

[0028] S103, determining a distribution probability of each spectrum efficiency level according to the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; The distribution probability of a spectrum efficiency level can be used to indicate the probability that a terminal device uses the specific spectrum efficiency corresponding to the spectrum efficiency level for data transmission.

[0029] The distribution probability of each spectrum efficiency level can be obtained based on the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes. For the current spectrum efficiency level, the number of transmission bytes corresponding to the current spectrum efficiency level can be divided by the total number of transmission bytes to obtain the distribution probability of the current spectrum efficiency level. The distribution probability of each spectrum efficiency level can be obtained by traversing each spectrum efficiency level.

[0030] From this we can know that , , ;in, is the distribution probability of the i-th level spectrum efficiency level, is the number of transmitted bytes corresponding to the i-th level of spectrum efficiency, The total number of bytes transferred.

[0031] S104: Determine a reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability.

[0032] The reliability probability corresponding to a spectrum efficiency level can be used to represent the probability that a cellular cell can meet or exceed the target data transmission rate of a terminal device.

[0033] The method of determining the reliability probability corresponding to each spectrum efficiency level based on the spectrum efficiency level and the distribution probability can be adopted. For the current spectrum efficiency level, each spectrum efficiency level greater than the current spectrum efficiency level and the current spectrum efficiency level can be determined as calculation factors, and the distribution probabilities of the calculation factors are summed to obtain the reliability probability corresponding to the current spectrum efficiency level. All spectrum efficiency levels are traversed to obtain the reliability probability corresponding to each spectrum efficiency level.

[0034] In an embodiment of the present application, preset spectrum efficiency information of a cell is obtained; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; the number of transmission bytes corresponding to each spectrum efficiency level is obtained, and the total number of transmission bytes of the cell is determined based on the number of transmission bytes; the distribution probability of each spectrum efficiency level is determined based on the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; the reliability probability corresponding to each spectrum efficiency level is determined based on the spectrum efficiency level and the distribution probability. The above-mentioned wireless spectrum efficiency probability distribution determination method, by determining the distribution probability and reliability probability of each spectrum efficiency level based on the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes, can construct a spectrum efficiency probability distribution model for a wireless network cell with the ability to dynamically adjust spectrum efficiency, quantify the actual utilization pattern and transmission stability of the cell's spectrum resources, and provide data support for dynamic resource scheduling.

[0035] Example 2 Figure 2 This is a flow chart of the method for determining the probability distribution of wireless spectrum efficiency provided in Example 2 of the present application. This solution makes a better improvement to the above embodiment, specifically: determining the reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability, including: for the current spectrum efficiency level, determining each spectrum efficiency level greater than the current spectrum efficiency level and the current spectrum efficiency level as calculation factors; summing the distribution probabilities of the calculation factors to obtain the reliability probability corresponding to the current spectrum efficiency level; traversing all spectrum efficiency levels to obtain the reliability probability corresponding to each spectrum efficiency level.

[0036] like Figure 2 As shown, the specific steps include: S201, obtaining preset spectrum efficiency information of a cellular cell; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; S202, obtaining the number of transmission bytes corresponding to each spectrum efficiency level, and determining the total number of transmission bytes of the cell according to the number of transmission bytes; S203, determining a distribution probability of each spectrum efficiency level according to the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; S204: For a current spectrum efficiency level, determine each spectrum efficiency level greater than the current spectrum efficiency level and the current spectrum efficiency level as calculation factors; The calculation factor may refer to a set of calculation data used to calculate the reliability probability corresponding to the current spectrum efficiency level, which may include spectrum efficiency levels greater than the current spectrum efficiency level and the current spectrum efficiency level. For example, if the current spectrum efficiency level is k, the calculation factor includes to .

[0037] S205, performing a sum operation on the distribution probabilities of the calculation factors to obtain a reliability probability corresponding to the current spectrum efficiency level; The distribution probability of the calculation factors is summed up to obtain the reliability probability corresponding to the current spectrum efficiency level: ;in, is the reliability probability corresponding to the kth level of spectrum efficiency.

[0038] S206: traverse all spectrum efficiency levels to obtain the reliability probability corresponding to each spectrum efficiency level.

[0039] For each spectrum efficiency level, the following steps are performed: "For the current spectrum efficiency level, each spectrum efficiency level greater than the current spectrum efficiency level and the current spectrum efficiency level are determined as calculation factors; the distribution probabilities of the calculation factors are summed to obtain the reliability probability corresponding to the current spectrum efficiency level." That is, all spectrum efficiency levels are traversed to finally obtain the reliability probability corresponding to each spectrum efficiency level.

[0040] The benefit of this arrangement of the present scheme is that, for the current spectrum efficiency level, each spectrum efficiency level greater than the current spectrum efficiency level and the current spectrum efficiency level are determined as calculation factors, the distribution probabilities of the calculation factors are summed up to obtain the reliability probability corresponding to the current spectrum efficiency level, and the reliability probability corresponding to each spectrum efficiency level is obtained by traversing all spectrum efficiency levels. This can quantify the stable working capability of cellular cells at different spectrum efficiency levels, and provide a clear mathematical basis for network planning, resource allocation, and service quality assurance.

[0041] In this technical solution, optionally, after determining the distribution probability of each spectral efficiency level based on the number of transmission bytes corresponding to each spectral efficiency level and the total number of transmission bytes, the method further includes: Obtain the historical number of transmitted bytes and historical distribution probability corresponding to each spectrum efficiency level; A weighted average calculation is performed based on the historical number of transmitted bytes, the historical distribution probability, the distribution probability, and the total number of transmitted bytes to obtain an updated distribution probability of each spectrum efficiency level.

[0042] The historical number of transmitted bytes corresponding to a spectrum efficiency level may refer to the most recent number of transmitted bytes corresponding to the spectrum efficiency level calculated before the current time point. The historical distribution probability corresponding to a spectrum efficiency level may refer to the most recent distribution probability of the spectrum efficiency level calculated before the current time point.

[0043] The historical number of transmitted bytes and the historical distribution probability corresponding to each spectrum efficiency level are calculated and recorded and stored in the wireless network management platform, so they can be directly read.

[0044] The updated distribution probability of each spectrum efficiency level is obtained by performing weighted average calculation based on the historical number of transmitted bytes, the historical distribution probability, the distribution probability, and the total number of transmitted bytes. The following formula can be used for calculation:

[0045] in, is the historical distribution probability of the i-th level spectrum efficiency level, is the number of historical transmitted bytes corresponding to the i-th level of spectrum efficiency, is the distribution probability of the currently calculated spectrum efficiency level i, is the number of transmitted bytes corresponding to the currently calculated spectrum efficiency level i.

[0046] The benefit of this arrangement is that by performing a weighted average calculation based on the historical number of transmitted bytes, the historical distribution probability, the distribution probability, and the total number of transmitted bytes, the updated distribution probability of each spectrum efficiency level is obtained. This can integrate historical data with real-time data, making the distribution probability of each spectrum efficiency level more stable and trend-predictable.

[0047] Example 3 Figure 3This is a flow chart of the method for determining the probability distribution of wireless spectrum efficiency provided in Example 3 of the present application. This solution makes better improvements to the above embodiments. Specifically, after determining the reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability, the method further includes: upon receiving a cell switching request, obtaining the service quality information of the target terminal device; wherein the service quality information includes service priority and reliability parameters; determining the spectrum resource demand according to the service quality information and the reliability probability corresponding to each spectrum efficiency level; obtaining the spare spectrum resources, and executing the corresponding cell switching strategy according to the spare spectrum resources and the spectrum resource demand.

[0048] like Figure 3 As shown, the specific steps include: S301, obtaining preset spectrum efficiency information of a cellular cell; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; S302, obtaining the number of transmission bytes corresponding to each spectrum efficiency level, and determining the total number of transmission bytes of the cell according to the number of transmission bytes; S303, determining a distribution probability of each spectrum efficiency level according to the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; S304, determining a reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability; S305, upon receiving the cell handover request, obtaining quality of service information of the target terminal device; wherein the quality of service information includes service priority and reliability parameters; The cell handover request may be a request signal sent when indicating that a terminal device needs to switch from a current cell to a target cell. The target terminal device is the terminal device that needs to perform cell handover.

[0049] The specific content of the cell handover request may include the target terminal device's quality of service information. Quality of service information is a set of parameters and indicators used to describe the quality of network service. It can include service priority and reliability parameters, as well as data transmission rate requirements and flags indicating whether the service can be preempted. Specifically, service priority is a level used to measure the importance of the service, and can include low priority, medium priority, and high priority. Reliability parameters can be used to describe the service's requirements for transmission stability and can be expressed as a percentage.

[0050] The service quality information of the target terminal device can be obtained by parsing the cell handover request sent to the current cellular cell.

[0051] S306, determining spectrum resource requirements based on the quality of service information and reliability probabilities corresponding to each spectrum efficiency level; Spectrum resource demand may refer to the amount of spectrum resources (such as frequency band, bandwidth or time slot, etc.) that need to be allocated to meet business needs.

[0052] The method for determining spectrum resource requirements based on service quality information and the reliability probability corresponding to each spectrum efficiency level can be adopted. When the service priority is medium or low, the medium and low priority packet transmission rates are obtained, and a weighted average calculation is performed based on the spectrum efficiency level, the number of transmitted bytes, and the total number of transmitted bytes to obtain the average spectrum efficiency of the cellular cell. The spectrum resource requirements are determined based on the medium and low priority packet transmission rates and the average spectrum efficiency. It can also be adopted that when the service priority is high, the high priority packet transmission rate is obtained, and the target spectrum efficiency level is determined based on the reliability parameters and the reliability probability corresponding to each spectrum efficiency level. The spectrum resource requirements are determined based on the high priority packet transmission rate and the target spectrum efficiency level.

[0053] In this technical solution, optionally, determining spectrum resource requirements based on the quality of service information and the reliability probabilities corresponding to the spectrum efficiency levels includes: When the service priority is medium or low priority, obtaining the packet transmission rate of the medium or low priority; Performing a weighted average calculation based on the spectrum efficiency level, the number of transmitted bytes, and the total number of transmitted bytes to obtain an average spectrum efficiency of the cell; Spectrum resource requirements are determined according to the medium and low priority packet transmission rates and the average spectrum efficiency.

[0054] Low- and medium-priority services are generally latency-insensitive, non-real-time services (such as file downloads and background data synchronization). They are allowed to adjust their rates or queue when resources are limited. The low- and medium-priority packet transmission rate refers to the amount of data that low- and medium-priority services can transmit per unit time. These rates are stored in the wireless network management platform and can be directly accessed.

[0055] The average spectral efficiency of a cell may refer to the average amount of data that can be transmitted per unit of spectrum resource per unit time within the cell. The average spectral efficiency of the cell may be obtained by performing a weighted average calculation based on the spectral efficiency level, the number of transmitted bytes, and the total number of transmitted bytes. The weight coefficient corresponding to each spectral efficiency level may be obtained by dividing the number of transmitted bytes corresponding to each spectral efficiency level by the total number of transmitted bytes. The spectral efficiency level is then multiplied by the corresponding weight coefficient to obtain a preset number of summing factors. These summing factors are then summed to obtain the average spectral efficiency of the cell.

[0056] Optionally, the method of performing weighted averaging calculation based on the spectrum efficiency level, the number of transmission bytes and the total number of transmission bytes to obtain the average spectrum efficiency of the cellular cell can also be: obtaining preset statistical time window information; wherein the preset statistical time window information includes at least two statistical time windows; within the statistical time window, obtaining the number of transmission bytes corresponding to each spectrum efficiency level, and determining the total number of transmission bytes of the cellular cell within the statistical time window based on the number of transmission bytes; performing weighted averaging calculation based on the spectrum efficiency level, the number of transmission bytes and the total number of transmission bytes to obtain the average spectrum efficiency of the cellular cell within the statistical time window; obtaining the historical average spectrum efficiency and the historical total number of transmission bytes of the cellular cell; performing weighted averaging calculation based on the historical average spectrum efficiency, the historical total number of transmission bytes, the total number of transmission bytes within the statistical time window and the average spectrum efficiency within the statistical time window to obtain the updated average spectrum efficiency of the cellular cell.

[0057] The preset statistical time window information may be pre-set time interval information for statistical data, and the preset statistical time window information may include at least two statistical time windows, with each statistical time window corresponding to each time interval. The preset statistical time window information may be set based on communication tidal characteristics of the geographical area covered by the cellular cell and directly recorded and stored in the wireless network management platform, so that the preset statistical time window information can be directly read.

[0058] The communication tidal characteristic may refer to the regular, periodic fluctuations in user demand for communication services over time within the geographical area covered by a cellular cell, such as a surge in traffic during the core production period of a manufacturing plant's production line and a trough in traffic during low-load operation and support periods. Therefore, as an example, the preset statistical time window information may include three statistical time windows: the first statistical time window is the core production period of the production line from 7:00 AM to 3:00 PM; the second statistical time window is the production preparation and flexible operation period from 3:00 PM to 11:00 PM; and the third statistical time window is the low-load operation and support period from 11:00 PM to 7:00 AM.

[0059] The historical average spectral efficiency of a cell may refer to the most recent average spectral efficiency of the cell calculated before the current time point, and the historical total number of bytes transmitted of a cell may refer to the most recent total number of bytes transmitted of the cell calculated before the current time point. The historical average spectral efficiency and the historical total number of bytes transmitted of a cell are calculated and stored in the wireless network management platform after being recorded and stored, and can therefore be directly read.

[0060] The updated average spectral efficiency of the cellular cell is obtained by performing weighted average calculation based on the historical average spectral efficiency, the historical total number of transmitted bytes, the total number of transmitted bytes in the statistical time window, and the average spectral efficiency in the statistical time window. The following formula can be used for calculation:

[0061] in, is the historical average spectrum efficiency, is the total number of bytes transmitted in history, is the average spectrum efficiency within the statistical time window, The total number of bytes transmitted within the statistical time window.

[0062] Optionally, the method of obtaining the average spectral efficiency of the cellular cell by performing a weighted average calculation based on the spectral efficiency level, the number of transmitted bytes and the total number of transmitted bytes can also be adopted: obtaining a statistical threshold for the total number of transmitted bytes of the cellular cell; when the total number of transmitted bytes does not reach the statistical threshold for the total number of transmitted bytes, obtaining the historical average spectral efficiency and the historical total number of transmitted bytes of the cellular cell; performing a weighted average calculation based on the historical average spectral efficiency, the historical total number of transmitted bytes, the total number of transmitted bytes and the average spectral efficiency to obtain the updated average spectral efficiency of the cellular cell.

[0063] The statistical threshold for the total number of bytes transmitted in a cell may refer to the statistical upper limit of the total number of bytes transmitted for calculating the weighted average of the average spectral efficiency of the cell. The statistical threshold for the total number of bytes transmitted may be determined based on information such as the historical traffic distribution characteristics of the cell, network equipment processing capabilities, service type priority, and quality of service indicator requirements. This information is directly recorded and stored in the wireless network management platform, allowing the statistical threshold for the total number of bytes transmitted to be directly read.

[0064] Among them, it can be understood that when the total number of transmitted bytes reaches the statistical threshold of the total number of transmitted bytes, the weighted average calculation of the average spectrum efficiency of the cellular cell in the previous statistical period (the total number of transmitted bytes from 0 to the total number of transmitted bytes reaching the statistical threshold is a statistical period) has been completed, and the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes are reset to 0 to start the data statistics of the next statistical period, thereby realizing the periodic continuous statistical calculation of the average spectrum efficiency of the cellular cell.

[0065] The historical average spectrum efficiency of the cell may refer to the average spectrum efficiency of the cell obtained by statistical calculation in the previous statistical period, and the historical total number of transmitted bytes of the cell may refer to the historical total number of transmitted bytes of the cell obtained by statistical calculation in the previous statistical period.

[0066] The updated average spectral efficiency of the cell can be obtained by performing a weighted average calculation based on the historical average spectral efficiency, the historical total number of transmitted bytes, the total number of transmitted bytes, and the average spectral efficiency. The following formula can be used for calculation:

[0067] in, is the historical average spectrum efficiency, is the total number of bytes transmitted in history, is the average spectrum efficiency currently calculated, The total number of bytes transferred currently calculated.

[0068] The spectrum resource requirement can be determined based on the medium and low priority packet transmission rates and the average spectrum efficiency. The spectrum resource requirement can be obtained by dividing the medium and low priority packet transmission rates by the average spectrum efficiency.

[0069] The benefit of this arrangement of the present solution is that, by obtaining the medium and low priority packet transmission rates when the service priority is medium and low, a weighted average calculation is performed based on the spectrum efficiency level, the number of transmitted bytes and the total number of transmitted bytes to obtain the average spectrum efficiency of the cellular cell, and the spectrum resource requirements are determined according to the medium and low priority packet transmission rates and the average spectrum efficiency. Under the premise of ensuring priority of high priority service resources, a resource allocation strategy that matches the overall network performance can be provided for medium and low priority services.

[0070] In this technical solution, optionally, determining spectrum resource requirements based on the quality of service information and the reliability probabilities corresponding to the spectrum efficiency levels includes: When the service priority is high, obtaining the high-priority packet transmission rate; determining a target spectrum efficiency level according to the reliability parameter and the reliability probability corresponding to each spectrum efficiency level; Spectrum resource requirements are determined according to the high-priority packet transmission rate and the target spectrum efficiency level.

[0071] High-priority services are generally assigned the highest priority in network resource allocation. They have stringent requirements for network performance (such as latency, reliability, and bandwidth) and enjoy priority in resource competition. The high-priority packet transmission rate refers to the amount of data that a high-priority service can transmit per unit time. High-priority packet transmission rate records are stored in the wireless network management platform and can be directly accessed.

[0072] The target spectrum efficiency level can be determined based on the reliability parameter and the reliability probability corresponding to each spectrum efficiency level. The spectrum efficiency level whose reliability probability is equal to the reliability parameter, or whose reliability probability is greater than and closest to the reliability parameter, can be determined as the target spectrum efficiency level.

[0073] The spectrum resource requirement can be determined based on the high-priority packet transmission rate and the target spectrum efficiency level. The spectrum resource requirement can be obtained by dividing the high-priority packet transmission rate by the specific spectrum efficiency corresponding to the target spectrum efficiency level.

[0074] The benefit of this setting of the present scheme is that, by obtaining a high-priority packet transmission rate when the service priority is high, determining the target spectrum efficiency level according to the reliability parameters and the reliability probability corresponding to each spectrum efficiency level, and determining the spectrum resource requirements according to the high-priority packet transmission rate and the target spectrum efficiency level, a reliability-first resource allocation strategy can be constructed for high-priority services to ensure their stable transmission in complex wireless environments.

[0075] S307: Acquire vacant spectrum resources, and execute corresponding cell switching strategies according to the vacant spectrum resources and the spectrum resource requirements.

[0076] The vacant spectrum resources may refer to the amount of spectrum resources that are currently unoccupied in the target cell and available for allocation. The vacant spectrum resource records are stored in the wireless network management platform and can therefore be directly read.

[0077] The method of executing the corresponding cell switching strategy based on the available spectrum resources and the spectrum resource demand may include: sending a switching permission confirmation message when the available spectrum resources are greater than or equal to the spectrum resource demand; sending a switching permission confirmation message when the available spectrum resources are less than the spectrum resource demand; when the available spectrum resources are less than the spectrum resource demand, determining the target transmission rate based on the available spectrum resources, adjusting the packet transmission rate of the service priority to the target transmission rate, and sending a switching permission confirmation message.

[0078] In this technical solution, optionally, executing a corresponding cell switching strategy according to the available spectrum resources and the spectrum resource demand includes: When the available spectrum resources are greater than or equal to the spectrum resource requirement, sending a handover permission confirmation message; or, When the available spectrum resources are less than the spectrum resource requirement, sending a switching not allowed confirmation message; or, When the available spectrum resources are less than the spectrum resource requirement, determining a target transmission rate according to the available spectrum resources; The packet transmission rate of the service priority is adjusted to the target transmission rate, and a handover permission confirmation message is sent.

[0079] If the available spectrum resources are greater than or equal to the spectrum resource demand, it indicates that the target cell provides services at the packet transmission rate of the current service priority and can meet the service quality requirements of the target terminal device. Therefore, the target terminal device can be allowed to switch from the current cell to the target cell, and a handover confirmation message is sent. The handover confirmation message can be used to provide feedback on the cell handover request, informing the current cell that the target terminal device can be handed over to the target cell.

[0080] The available spectrum resources are less than the spectrum resource demand, indicating that the target cell provides services at the packet transmission rate of the current service priority, which cannot meet the service quality requirements of the target terminal device. Therefore, the target terminal device can be directly denied access from the current cell to the target cell, and a switching permission confirmation message is sent. The switching permission confirmation message can be used to provide feedback on the cell switching request, informing the current cell that the target terminal device cannot be switched to the target cell. In addition, the packet transmission rate of the service priority can be adjusted to meet the service quality requirements of the target terminal device, and then a switching permission confirmation message is sent.

[0081] The method for adjusting the packet transmission rate of the service priority to meet the service quality requirements of the target terminal device can be to determine the target transmission rate based on the available spectrum resources and adjust the packet transmission rate of the service priority to the target transmission rate. The target transmission rate can refer to the packet transmission rate of the service priority that can meet the service quality requirements of the target terminal device; the method for determining the target transmission rate based on the available spectrum resources can be to divide the available spectrum resources by the target spectrum efficiency (when the service priority is medium or low, the target spectrum efficiency is the average spectrum efficiency of the cellular cell; when the service priority is high, the target spectrum efficiency is the specific spectrum efficiency corresponding to the target spectrum efficiency level) to obtain the target transmission rate.

[0082] The benefit of this arrangement of the present scheme is that by sending a switching permission confirmation message when the free spectrum resources are greater than or equal to the spectrum resource demand, or sending a switching disallowance confirmation message when the free spectrum resources are less than the spectrum resource demand, or determining the target transmission rate based on the free spectrum resources when the free spectrum resources are less than the spectrum resource demand, the packet transmission rate of the service priority is adjusted to the target transmission rate and a switching permission confirmation message is sent, a dynamic balance can be achieved between service priority management, balanced allocation of spectrum resources and optimization of transmission efficiency.

[0083] The benefit of this arrangement of the present solution is that, by obtaining the service quality information of the target terminal device upon receiving a cell switching request, the spectrum resource demand is determined based on the service quality information and the reliability probability corresponding to each spectrum efficiency level, and the corresponding cell switching strategy is executed based on the available spectrum resources and spectrum resource demand. This can provide accurate protection for the service quality of the terminal device and realize intelligent scheduling of spectrum resources.

[0084] Example 4 Figure 4 This is a schematic diagram of the structure of the apparatus for determining the probability distribution of wireless spectrum efficiency provided by the fourth embodiment of the present application. Figure 4 As shown, the device includes: The preset information acquisition module 410 is configured to acquire preset spectrum efficiency information of a cellular cell; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; a byte quantity determination module 420, configured to obtain the number of transmission bytes corresponding to each spectrum efficiency level, and determine the total number of transmission bytes of the cell according to the number of transmission bytes; a distribution probability determination module 430, configured to determine the distribution probability of each spectrum efficiency level according to the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; The reliability probability determination module 440 is configured to determine the reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability.

[0085] In an embodiment of the present application, a preset information acquisition module is used to obtain preset spectrum efficiency information of a cell; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; a byte quantity determination module is used to obtain the number of transmission bytes corresponding to each spectrum efficiency level, and determine the total number of transmission bytes of the cell based on the number of transmission bytes; a distribution probability determination module is used to determine the distribution probability of each spectrum efficiency level based on the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; a reliability probability determination module is used to determine the reliability probability corresponding to each spectrum efficiency level based on the spectrum efficiency level and the distribution probability. The above-mentioned wireless spectrum efficiency probability distribution determination device, by determining the distribution probability and reliability probability of each spectrum efficiency level based on the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes, can construct a spectrum efficiency probability distribution model for a wireless network cell with the ability to dynamically adjust spectrum efficiency, quantify the actual utilization pattern and transmission stability of the cell's spectrum resources, and provide data support for dynamic resource scheduling.

[0086] The apparatus for determining the probability distribution of wireless spectrum efficiency in the embodiments of the present application can be a device, or a component, integrated circuit, or chip within a terminal. The apparatus can be a mobile electronic device or a non-mobile electronic device. For example, mobile electronic devices can include industrial tablets / handheld terminals (PDAs), mobile robots (AGVs / AMRs), wireless sensor nodes, portable measuring instruments, augmented reality glasses / headsets, handheld industrial cameras / visual inspection equipment, and the like. Non-mobile electronic devices can include programmable logic controllers (PLCs), industrial computers (IPCs) and industrial control computers, fixed machine vision systems, sensors and actuators, human-machine interfaces (HMIs), industrial network equipment, and specialized processing / inspection equipment, among others. These are not specifically limited in the embodiments of the present application.

[0087] The apparatus for determining the probability distribution of wireless spectrum efficiency in the embodiment of the present application may be a device having an operating system. The operating system may be an Android operating system, an iOS operating system, or other possible operating systems, which are not specifically limited in the embodiment of the present application.

[0088] The apparatus for determining the probability distribution of wireless spectrum efficiency provided in the embodiment of the present application can implement the various processes implemented in the above-mentioned embodiments one to three, and will not be described again here to avoid repetition.

[0089] Example 5 like Figure 5 As shown, an embodiment of the present application also provides an electronic device 500, including a processor 501, a memory 502, and a program or instruction stored in the memory 502 and executable on the processor 501. When the program or instruction is executed by the processor 501, each process of the above-mentioned wireless spectrum efficiency probability distribution determination method embodiment is implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0090] It should be noted that the electronic devices in the embodiments of the present application include the mobile electronic devices and non-mobile electronic devices mentioned above.

[0091] Example 6 An embodiment of the present application also provides a readable storage medium, on which a program or instruction is stored. When the program or instruction is executed by a processor, the various processes of the above-mentioned wireless spectrum efficiency probability distribution determination method embodiment are implemented, and the same technical effect can be achieved. To avoid repetition, it will not be repeated here.

[0092] The processor is the processor in the electronic device described in the above embodiment. The readable storage medium includes a computer-readable storage medium, such as a computer read-only memory (ROM), random access memory (RAM), a magnetic disk, or an optical disk.

[0093] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device comprising 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, an element defined by the statement "comprises a ..." does not exclude the presence of other identical elements in the process, method, article or device comprising the element. In addition, it should be noted that the scope of the methods and devices in the embodiments of the present application is not limited to performing functions in the order shown or discussed, and may also include performing functions in a substantially simultaneous manner or in the opposite order according to the functions involved. For example, the described method may be performed in an order different from that described, and various steps may also be added, omitted, or combined. In addition, the features described with reference to certain examples may be combined in other examples.

[0094] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned embodiment methods can be implemented by means of software plus the necessary general hardware platform. Of course, they can also be implemented by hardware, but in many cases the former is a better embodiment. Based on this understanding, the technical solution of this application, or the part that contributes to the existing technology, can be embodied in the form of a computer software product. This computer software product is stored in a storage medium (such as ROM / RAM, magnetic disk, optical disk), and includes a number of instructions for enabling a terminal (which can be a mobile phone, computer, server, or network device, etc.) to execute the methods described in each embodiment of this application.

[0095] The embodiments of the present application are described above in conjunction with the accompanying drawings, but the present application is not limited to the above-mentioned specific implementation methods. The above-mentioned specific implementation methods are merely illustrative and not restrictive. Under the guidance of this application, ordinary technicians in this field can also make many forms without departing from the purpose of this application and the scope of protection of the claims, all of which are within the protection of this application.

[0096] The above are only preferred embodiments of the present application and the technical principles employed. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments, and substitutions that are possible for those skilled in the art will not depart from the scope of protection of the present application. Therefore, although the present application has been described in more detail through the above embodiments, the present application is not limited to the above embodiments and may include more other equivalent embodiments without departing from the concept of the present application. The scope of the present application is determined by the scope of the claims.

Claims

1. A method for determining the probability distribution of wireless spectrum efficiency, characterized in that: The method comprises: Acquiring preset spectrum efficiency information of a cellular cell; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; Obtaining a number of transmission bytes corresponding to each spectrum efficiency level, and determining a total number of transmission bytes of the cell according to the number of transmission bytes; Determining a distribution probability of each spectrum efficiency level according to the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; The reliability probability corresponding to each spectrum efficiency level is determined according to the spectrum efficiency level and the distribution probability.

2. The method for determining the probability distribution of wireless spectrum efficiency according to claim 1, wherein: Determining, according to the spectrum efficiency level and the distribution probability, a reliability probability corresponding to each spectrum efficiency level, including: For a current spectrum efficiency level, determining each spectrum efficiency level greater than the current spectrum efficiency level and the current spectrum efficiency level as calculation factors; performing a summation operation on the distribution probabilities of the calculation factors to obtain a reliability probability corresponding to the current spectrum efficiency level; Traverse all spectrum efficiency levels and obtain the reliability probability corresponding to each spectrum efficiency level.

3. The method for determining the probability distribution of wireless spectrum efficiency according to claim 2, wherein: After determining the distribution probability of each spectrum efficiency level according to the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes, the method further includes: Obtain the historical number of transmitted bytes and historical distribution probability corresponding to each spectrum efficiency level; A weighted average calculation is performed based on the historical number of transmitted bytes, the historical distribution probability, the distribution probability, and the total number of transmitted bytes to obtain an updated distribution probability of each spectrum efficiency level.

4. The method for determining the probability distribution of wireless spectrum efficiency according to claim 1, wherein: After determining the reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability, the method further includes: Upon receiving a cell handover request, obtaining quality of service information of the target terminal device; wherein the quality of service information includes service priority and reliability parameters; determining spectrum resource requirements based on the quality of service information and reliability probabilities corresponding to each spectrum efficiency level; Obtaining spare spectrum resources, and executing corresponding cell switching strategies according to the spare spectrum resources and the spectrum resource requirements.

5. The method for determining the probability distribution of wireless spectrum efficiency according to claim 4, wherein: Determining spectrum resource requirements based on the quality of service information and reliability probabilities corresponding to each spectrum efficiency level includes: When the service priority is medium or low priority, obtaining the packet transmission rate of the medium or low priority; Performing a weighted average calculation based on the spectrum efficiency level, the number of transmitted bytes, and the total number of transmitted bytes to obtain an average spectrum efficiency of the cell; Spectrum resource requirements are determined according to the medium and low priority packet transmission rates and the average spectrum efficiency.

6. The method for determining the probability distribution of wireless spectrum efficiency according to claim 4, wherein: Determining spectrum resource requirements based on the quality of service information and reliability probabilities corresponding to each spectrum efficiency level includes: When the service priority is high, obtaining the high-priority packet transmission rate; determining a target spectrum efficiency level according to the reliability parameter and the reliability probability corresponding to each spectrum efficiency level; Spectrum resource requirements are determined according to the high-priority packet transmission rate and the target spectrum efficiency level.

7. The method for determining the probability distribution of wireless spectrum efficiency according to claim 4, wherein: Executing a corresponding cell handover strategy according to the available spectrum resources and the spectrum resource demand, including: When the available spectrum resources are greater than or equal to the spectrum resource requirement, sending a handover permission confirmation message; or, When the available spectrum resources are less than the spectrum resource requirement, sending a handover-not-allowed confirmation message; or, When the available spectrum resources are less than the spectrum resource requirement, determining a target transmission rate according to the available spectrum resources; The packet transmission rate of the service priority is adjusted to the target transmission rate, and a handover permission confirmation message is sent.

8. A device for determining probability distribution of wireless spectrum efficiency, characterized in that: The device comprises: A preset information acquisition module, configured to acquire preset spectrum efficiency information of a cellular cell; wherein the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from small to large; a byte quantity determination module, configured to obtain the number of transmission bytes corresponding to each spectrum efficiency level, and determine the total number of transmission bytes of the cell according to the number of transmission bytes; a distribution probability determination module, configured to determine the distribution probability of each spectrum efficiency level according to the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes; The reliability probability determination module is configured to determine the reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability.

9. An electronic device, characterized in that: The method comprises a processor, a memory, and a program or instruction stored in the memory and executable on the processor, wherein the program or instruction, when executed by the processor, implements the steps of the method for determining the probability distribution of wireless spectrum efficiency as described in any one of claims 1 to 7.

10. A readable storage medium, characterized in that: The readable storage medium stores a program or instruction, and when the program or instruction is executed by the processor, the steps of the method for determining the probability distribution of wireless spectrum efficiency according to any one of claims 1 to 7 are implemented.

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