A wireless spectrum efficiency probability distribution determination method, apparatus, device and medium

Abstract

The application discloses a wireless spectrum efficiency probability distribution determination method, device, equipment and 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 quantity corresponding to each spectrum efficiency level and the total transmission byte quantity; and determining the 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 spectrum efficiency level are determined according to the transmission byte quantity corresponding to each spectrum efficiency level and the total transmission byte quantity, a spectrum efficiency probability distribution model can be constructed for a wireless network cell with the ability of dynamically adjusting spectrum efficiency, the actual utilization mode of the spectrum resource of the cell and the transmission stability are quantified, and data support is provided for dynamic resource scheduling.

Description

TECHNICAL FIELD

[0001] The application belongs to the technical field of wireless communication networks, and particularly relates to a wireless spectrum efficiency probability distribution determination method and device, equipment and medium. BACKGROUND

[0002] In the field of 5G+ intelligent manufacturing, estimating and counting the average spectrum efficiency (ASE) of cellular wireless transmission plays a key role, which is directly related to the performance, resource utilization efficiency and intelligent level of the wireless communication system in the factory, is a core KPI (Key Performance Indicator) for measuring the performance of 5G industrial wireless, and directly determines whether the intelligent manufacturing system can realize reliable connection of "wireless replacing wired" and provides bottom support for production efficiency, flexibility and cost control.

[0003] The current cellular cell of the wireless network generally adopts AMC (Adaptive Modulation and Coding) technology and / or MIMO (Multiple - Input Multiple - Output) technology, which leads to the relative independence of the spectrum efficiency between each terminal device and the cellular cell and the dynamic change with the movement of the terminal device.

[0004] If the average spectrum efficiency is obtained by simply averaging the spectrum efficiencies of multiple terminal devices, and the service reliability of the cellular cell is determined according to the average spectrum efficiency, the dynamic differences and distribution characteristics of the spectrum efficiencies between the terminal devices may be ignored, resulting in that the reliability evaluation result deviates from the actual scene and cannot accurately reflect the real transmission quality of the cellular cell.

[0005] Therefore, how to adapt to the complex scene of dynamic access of multiple terminal devices and channel time variation and obtain accurate service reliability information of the cellular cell is a problem to be solved by the person skilled in the art. SUMMARY

[0006] The application provides a wireless spectrum efficiency probability distribution determination method, device, equipment and medium, which aims to construct a spectrum efficiency probability distribution model for a wireless network cellular cell with the ability to dynamically adjust the spectrum efficiency, quantify the actual utilization mode and transmission stability of the spectrum resources of the cellular cell, and provide data support for dynamic resource scheduling.

[0007] In a first aspect, the application provides a wireless spectrum efficiency probability distribution determination method, which comprises:

[0008] obtain preset spectrum efficiency information of the cell, wherein the preset spectrum efficiency information comprises a preset number of spectrum efficiency levels sorted in ascending order;

[0009] obtain a number of transmission bytes corresponding to each spectrum efficiency level, and determine a total number of transmission bytes of the cell according to the number of transmission bytes;

[0010] determine 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;

[0011] determine a reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability.

[0012] In a second aspect, the present application provides a wireless spectrum efficiency probability distribution determination device, the device comprising:

[0013] a preset information obtaining module, configured to obtain preset spectrum efficiency information of the cell, wherein the preset spectrum efficiency information comprises a preset number of spectrum efficiency levels sorted in ascending order;

[0014] a byte number determining module, configured to obtain a number of transmission bytes corresponding to each spectrum efficiency level, and determine a total number of transmission bytes of the cell according to the number of transmission bytes;

[0015] a distribution probability determining module, configured to determine 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;

[0016] a reliability probability determining module, configured to determine a reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability.

[0017] 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 is executed by the processor to implement the steps of the method according to the first aspect.

[0018] In a fourth aspect, the present application provides a readable storage medium, wherein the readable storage medium stores a program or instruction, and the program or instruction is executed by a processor to implement the steps of the method according to the first aspect.

[0019] In this application, preset spectrum efficiency information of a cellular cell is obtained; wherein, the preset spectrum efficiency information includes a preset number of spectrum efficiency levels sorted from smallest to largest; the number of transmitted bytes corresponding to each spectrum efficiency level is obtained, and the total number of transmitted bytes of the cellular cell is determined based on the number of transmitted bytes; the distribution probability of each spectrum efficiency level is determined based on the number of transmitted bytes corresponding to each spectrum efficiency level and the total number of transmitted bytes; and the reliability probability corresponding to each spectrum efficiency level is determined based on the spectrum efficiency level and the distribution probability. This method for determining the probability distribution of wireless spectrum efficiency, by determining the distribution probability and reliability probability of each spectrum efficiency level based on the number of transmitted bytes corresponding to each spectrum efficiency level and the total number of transmitted bytes, can construct a spectrum efficiency probability distribution model for cellular networks with dynamic spectrum efficiency adjustment capabilities, quantify the actual utilization mode and transmission stability of cellular spectrum resources, and provide data support for dynamic resource scheduling. Attached Figure Description

[0020] Figure 1 This is a flowchart illustrating the method for determining the probability distribution of wireless spectrum efficiency provided in Embodiment 1 of this application;

[0021] Figure 2 This is a flowchart illustrating the method for determining the probability distribution of wireless spectrum efficiency provided in Embodiment 2 of this application;

[0022] Figure 3 This is a flowchart illustrating the method for determining the probability distribution of wireless spectrum efficiency provided in Embodiment 3 of this application;

[0023] Figure 4 This is a schematic diagram of the structure of the wireless spectrum efficiency probability distribution determination device provided in Embodiment 4 of this application;

[0024] Figure 5 This is a schematic diagram of the structure of the electronic device provided in Embodiment 5 of this application. Detailed Implementation

[0025] In order to make the purposes, technical solutions and advantages of the present application clearer, the specific embodiments of the present application are further described in detail below in conjunction with the drawings. It can be understood that the specific embodiments described herein are only used to explain the present application, but not to limit the present application. In addition, it should be noted that, for the convenience of description, only parts related to the present application are shown in the drawings, but not all. Before discussing the example embodiments in more detail, it should be mentioned that some example embodiments are described as processes or methods depicted as flowcharts. Although the flowcharts describe the operations (or steps) as sequential processes, many of the operations can be implemented in parallel, concurrently or simultaneously. In addition, the order of the operations can be rearranged. The processes can be terminated when the operations are completed, but can also have additional steps not included in the drawings. The processes can correspond to methods, functions, procedures, subroutines, etc.

[0026] The technical solutions in the embodiments of the present application will be described clearly in conjunction with the drawings in the embodiments of the present application. Obviously, the described embodiments are part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art belong to the scope of protection of the present application.

[0027] The terms "first", "second", and the like in the specification and claims of the present application are used to distinguish similar objects, and are not used to describe a specific order or sequence. It should be understood that the data used in this way can be interchanged under appropriate circumstances, so that the embodiments of the present application can be implemented in an order other than those illustrated or described herein, and the objects distinguished by "first", "second", etc. are usually a class, not limited to the number of objects, for example, the first object can be one or more. In addition, "and / or" in the specification and claims means at least one of the connected objects, and the character " / ", generally indicates that the objects before and after are in a "or" relationship.

[0028] The wireless spectrum efficiency probability distribution determination method, device, equipment and medium provided by the embodiments of the present application will be described in detail below in conjunction with the drawings and specific embodiments and application scenarios.

[0029] Embodiment one

[0030] Figure 1 is a flowchart of the wireless spectrum efficiency probability distribution determination method provided by the first embodiment of the present application. As shown in Figure 1 , it specifically includes the following steps:

[0031] S101, obtaining 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;

[0032] Firstly, the present application is applicable to the scenario that a terminal device connects a cell for wireless transmission. Based on the above-mentioned use scenario, it can be understood that the execution subject of the present application can be a wireless network management platform. Specifically, the acquisition of preset spectrum efficiency information, the determination of the number of transmission bytes, and the determination of distribution probability and reliability probability can be performed by the cell management platform, and the obtained spectrum efficiency probability distribution of cell wireless transmission can be used to guide the fine planning and optimization decision of the wireless network.

[0033] A wireless network refers to a network that uses radio waves as a transmission medium to achieve data transmission and communication. Compared with traditional wired networks, wireless networks have the characteristics of not being limited by cables and strong mobility, and can provide users with flexible and convenient network access services. A cell is a 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 a wireless network, which can centrally manage and control various elements (including cells) in a wireless network to ensure efficient operation, optimize performance, and provide good user experience.

[0034] The preset spectrum efficiency information can be information related to the spectrum efficiency of the cell that is preset in advance. The preset spectrum efficiency information can include a preset number of spectrum efficiency levels sorted from small to large. Each spectrum efficiency level corresponds to a specific spectrum efficiency. Specifically, spectrum efficiency is a key indicator of the ability of a wireless network to utilize spectrum resources, and is generally defined as the ratio of data transmission rate to occupied spectrum bandwidth; spectrum efficiency is affected by factors such as modulation method, coding efficiency, channel quality, and interference level.

[0035] The preset number of spectrum efficiency levels sorted from small to large can be represented as:

[0036]

[0037] wherein, is the specific spectrum efficiency corresponding to the i-th spectrum efficiency level, and N is the preset number.

[0038] Optionally, the present application is applicable to a wireless network that uses AMC (Adaptive Modulation and Coding) technology and / or MIMO (Multiple-Input Multiple-Output) technology, which has the ability to dynamically adjust the spectrum efficiency of wireless transmission.

[0039] Correspondingly, the preset quantity is equal to the product of the number of modulation and coding scheme levels supported by the AMC (if the AMC technology is not used, then 1 is substituted) and the number of spatial multi-stream transmission levels supported by the MIMO (if the MIMO technology is not used, then 1 is substituted).

[0040] The preset spectrum efficiency information of the cell is generally directly recorded and stored in the wireless network management platform, and thus the preset spectrum efficiency information of the cell can be directly read.

[0041] In S102, 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 according to the number of transmission bytes.

[0042] The number of transmission bytes corresponding to one spectrum efficiency level can be the total number of bytes between all terminal devices and the base station in the cell for data transmission in a certain time by using the spectrum efficiency level.

[0043] The number of transmission bytes corresponding to each spectrum efficiency level can be obtained by obtaining the number of transmission bytes of each terminal device under the current spectrum efficiency level for the current spectrum efficiency level, summing the number of transmission bytes to obtain the number of transmission bytes corresponding to the current spectrum efficiency level, and traversing each spectrum efficiency level to obtain the number of transmission bytes corresponding to each spectrum efficiency level.

[0044] The total number of transmission bytes of the cell can be the total number of bytes between all terminal devices and the base station in the cell for data transmission in a certain time by using all spectrum efficiency levels. The total number of transmission bytes of the cell can be determined by summing the number of transmission bytes corresponding to each spectrum efficiency level.

[0045] In S103, the distribution probability of each spectrum efficiency level is determined according to the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes.

[0046] The distribution probability of one spectrum efficiency level can be used to represent the probability of using the specific spectrum efficiency corresponding to the spectrum efficiency level for data transmission by a certain terminal device.

[0047] The distribution probability of each spectrum efficiency level can be obtained by dividing the number of transmission bytes corresponding to the current spectrum efficiency level by the total number of transmission bytes for the current spectrum efficiency level, and traversing each spectrum efficiency level to obtain the distribution probability of each spectrum efficiency level.

[0048] It can be known that, , , ; wherein, is the distribution probability of the i-th spectrum efficiency level, is the number of transmission bytes corresponding to the i-th spectrum efficiency level, is the total number of transmission bytes.

[0049] S104, determining the reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability.

[0050] The reliability probability corresponding to one spectrum efficiency level can be used to represent the probability that the cell can meet or exceed the target data transmission rate of a certain terminal device.

[0051] The way of determining the reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability can be 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 probability of the calculation factors is summed to obtain the reliability probability corresponding to the current spectrum efficiency level, and all spectrum efficiency levels are traversed to obtain the reliability probability corresponding to each spectrum efficiency level.

[0052] In the embodiments 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 according to the number of transmission bytes; the distribution probability of each spectrum efficiency level is determined according to 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 according to the spectrum efficiency level and the distribution probability. The above wireless spectrum efficiency probability distribution determination method can construct a spectrum efficiency probability distribution model for a wireless network cell with dynamic spectrum efficiency adjustment capability, quantify the actual utilization mode and transmission stability of the spectrum resources of the cell, and provide data support for dynamic resource scheduling, by determining the distribution probability and the reliability 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.

[0053] Embodiment two

[0054] Figure 2is a flowchart of a wireless spectrum efficiency probability distribution determination method provided by Embodiment Two of the present application. The present solution makes a more optimal improvement on the above-mentioned embodiment, and the specific improvement is that: according to the spectrum efficiency levels and the distribution probabilities, the reliability probability corresponding to each spectrum efficiency level is determined, including: for a 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; all spectrum efficiency levels are traversed to obtain the reliability probability corresponding to each spectrum efficiency level.

[0055] As shown in Figure 2 , specifically including the following steps:

[0056] S201, obtaining 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;

[0057] 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;

[0058] S203, 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;

[0059] S204, for a 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;

[0060] The calculation factors can be a set of calculation data used to calculate the reliability probability corresponding to the current spectrum efficiency level, and can include each spectrum efficiency level 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 factors include to .

[0061] S205, summing the distribution probabilities of the calculation factors to obtain the reliability probability corresponding to the current spectrum efficiency level;

[0062] The expression formula for summing the distribution probabilities of the calculation factors to obtain the reliability probability corresponding to the current spectrum efficiency level is: ; wherein, is the reliability probability corresponding to the kth spectrum efficiency level.

[0063] S206, traversing all spectrum efficiency levels to obtain the reliability probability corresponding to each spectrum efficiency level.

[0064] For each spectrum efficiency level, the method comprises: determining, for the current spectrum efficiency level, each spectrum efficiency level greater than the current spectrum efficiency level and the current spectrum efficiency level as a calculation factor; and performing a summation operation on the distribution probabilities of the calculation factors to obtain a reliability probability corresponding to the current spectrum efficiency level.

[0065] The advantage of the present solution is that, by determining, for the current spectrum efficiency level, each spectrum efficiency level greater than the current spectrum efficiency level and the current spectrum efficiency level as a calculation factor, performing a summation operation on the distribution probabilities of the calculation factors to obtain a reliability probability corresponding to the current spectrum efficiency level, and traversing all spectrum efficiency levels to obtain a reliability probability corresponding to each spectrum efficiency level, the stable working capability of a cell at different spectrum efficiency levels can be quantified, thereby providing a clear mathematical basis for network planning, resource allocation, and service quality guarantee.

[0066] In the present solution, 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 comprises:

[0067] obtaining a historical number of transmission bytes corresponding to each spectrum efficiency level and a historical distribution probability;

[0068] performing a weighted average calculation based on the historical number of transmission bytes, the historical distribution probability, the distribution probability, and the total number of transmission bytes to obtain an updated distribution probability of each spectrum efficiency level.

[0069] The historical number of transmission bytes corresponding to a spectrum efficiency level can be the latest number of transmission bytes corresponding to the spectrum efficiency level calculated before the current time point. The historical distribution probability corresponding to a spectrum efficiency level can be the latest distribution probability of the spectrum efficiency level calculated before the current time point.

[0070] The historical number of transmission bytes corresponding to each spectrum efficiency level and the historical distribution probability are recorded and stored in a wireless network management platform after being calculated and determined, and thus can be directly read.

[0071] The weighted average calculation based on the historical number of transmission bytes, the historical distribution probability, the distribution probability, and the total number of transmission bytes to obtain an updated distribution probability of each spectrum efficiency level can be calculated using the following formula:

[0072]

[0073] wherein, a historical distribution probability of an i-th spectrum efficiency level, a historical transmission byte number corresponding to the i-th spectrum efficiency level, a current calculated distribution probability of the i-th spectrum efficiency level, a current calculated transmission byte number corresponding to the i-th spectrum efficiency level.

[0074] The advantage of the scheme is that the updated distribution probability of each spectrum efficiency level is obtained by weighted average calculation based on the historical transmission byte number, the historical distribution probability, the distribution probability and the total transmission byte number, which can fuse historical data and real-time data, and make the distribution probability of each spectrum efficiency level more stable and trend predictable.

[0075] Embodiment Three

[0076] Figure 3 is a flowchart of a wireless spectrum efficiency probability distribution determination method provided by Embodiment Three of the present application. The scheme makes a more optimal improvement on each of the above embodiments, and the specific improvement is that 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: in the case of receiving a cell handover request, obtaining service quality information of a target terminal device; wherein the service quality information includes a service priority and a reliability parameter; determining a spectrum resource requirement according to the service quality information and the reliability probability corresponding to each spectrum efficiency level; obtaining a free spectrum resource, and executing a corresponding cell handover strategy according to the free spectrum resource and the spectrum resource requirement.

[0077] As shown in Figure 3 , specifically includes the following steps:

[0078] 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;

[0079] S302, obtaining a transmission byte number corresponding to each spectrum efficiency level, and determining a total transmission byte number of the cellular cell according to the transmission byte number;

[0080] S303, determining a 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;

[0081] S304, determining a reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability;

[0082] S305, in the case of receiving the cell handover request, obtaining the quality of service information of the target terminal device; wherein the quality of service information comprises service priority and reliability parameter;

[0083] The cell handover request can be a request signal issued when the terminal device needs to be switched from the current cell to the target cell. The target terminal device is the terminal device that needs to be switched.

[0084] The specific content of the cell handover request can include the quality of service information of the target terminal device. The quality of service information can be a set of parameters and indicators for describing network service quality, which can include service priority and reliability parameter, and can also include data transmission rate requirement and flag information whether the service can be preempted. Specifically, the service priority is a level for measuring the importance of the service, which can include low priority, medium priority and high priority; the reliability parameter can be used to describe the requirement of the service on transmission stability, which can be expressed in percentage.

[0085] The quality of service information of the target terminal device can be obtained by parsing the cell handover request issued by the current cell.

[0086] S306, determining the spectrum resource requirement according to the quality of service information and the reliability probability corresponding to each spectrum efficiency level;

[0087] The spectrum resource requirement can be the amount of spectrum resource (such as frequency band, bandwidth or time slot, etc.) that needs to be allocated to meet the service requirement.

[0088] According to the quality of service information and the reliability probability corresponding to each spectrum efficiency level, the spectrum resource requirement can be determined by obtaining the packet transmission rate of medium and low priority in the case of medium and low priority, and performing weighted average calculation based on spectrum efficiency level, transmission byte number and total transmission byte number to obtain the average spectrum efficiency of the cell, and determining the spectrum resource requirement according to the packet transmission rate of medium and low priority and the average spectrum efficiency; it can also be used in the case of high priority, obtaining the packet transmission rate of high priority, determining the target spectrum efficiency level according to the reliability parameter and the reliability probability corresponding to each spectrum efficiency level, and determining the spectrum resource requirement according to the packet transmission rate of high priority and the target spectrum efficiency level.

[0089] In the technical solution, optionally, according to the quality of service information and the reliability probability corresponding to each spectrum efficiency level, the spectrum resource requirement is determined, comprising:

[0090] In the case of medium and low priority, the packet transmission rate of medium and low priority is obtained;

[0091] perform weighted average calculation based on the spectrum efficiency level, the transmission byte quantity and the total transmission byte quantity to obtain the average spectrum efficiency of the cell;

[0092] determine spectrum resource requirement according to the average spectrum efficiency and the low-mid priority packet transmission rate.

[0093] The low-mid priority service is generally a non-real-time service (such as file download and background data synchronization) which is not sensitive to time delay, and is allowed to be adjusted in rate or queued when resource is in shortage. The low-mid priority packet transmission rate can be the data amount that the low-mid priority service can transmit in unit time when transmitting data, and is recorded in the wireless network management platform and thus can be directly read.

[0094] The average spectrum efficiency of the cell can be the average data amount that unit spectrum resource can transmit in unit time in the cell. The way of performing weighted average calculation based on the spectrum efficiency level, the transmission byte quantity and the total transmission byte quantity to obtain the average spectrum efficiency of the cell can be that the transmission byte quantity corresponding to each spectrum efficiency level is respectively divided by the total transmission byte quantity to obtain a weight coefficient corresponding to each spectrum efficiency level, the spectrum efficiency level is multiplied by the corresponding weight coefficient to obtain a preset number of adding factors, and the adding factors are added to obtain the average spectrum efficiency of the cell.

[0095] Optionally, the way of performing weighted average calculation based on the spectrum efficiency level, the transmission byte quantity and the total transmission byte quantity to obtain the average spectrum efficiency of the cell can also be that preset statistical time window information is obtained, wherein the preset statistical time window information includes at least two statistical time windows; in the statistical time window, the transmission byte quantity corresponding to each spectrum efficiency level is obtained, and the total transmission byte quantity of the cell in the statistical time window is determined according to the transmission byte quantity; weighted average calculation is performed based on the spectrum efficiency level, the transmission byte quantity and the total transmission byte quantity to obtain the average spectrum efficiency of the cell in the statistical time window; the historical average spectrum efficiency and the historical total transmission byte quantity of the cell are obtained; weighted average calculation is performed based on the historical average spectrum efficiency, the historical total transmission byte quantity, the total transmission byte quantity in the statistical time window and the average spectrum efficiency in the statistical time window to obtain the updated average spectrum efficiency of the cell.

[0096] The preset statistical time window information can be a preset time interval range information for statistics. The preset statistical time window information can include at least two statistical time windows, and one statistical time window corresponds to one time interval range. The preset statistical time window information can be set according to the communication tide characteristics of the coverage geographical area of the cell, and is directly recorded and stored in the wireless network management platform, so that the preset statistical time window information can be directly read.

[0097] The communication tide characteristics can refer to the regular periodic fluctuation phenomenon of the demand for communication services of users in the coverage geographical area of the cell over time, for example, the traffic surge in the production line core production period, the low load operation and guarantee period, and the traffic trough. Therefore, as an example, the preset statistical time window information can include three statistical time windows. The first statistical time window is the production line core production period from 7 am to 3 pm. The second statistical time window is the production preparation and flexible operation period from 3 pm to 11 pm. The third statistical time window is the low load operation and guarantee period from 11 pm to 7 am.

[0098] The historical average spectrum efficiency of the cell can refer to the latest average spectrum efficiency of the cell calculated before the current time point. The historical total transmission byte quantity of the cell can refer to the latest historical total transmission byte quantity of the cell calculated before the current time point. The historical average spectrum efficiency and the historical total transmission byte quantity of the cell are recorded and stored in the wireless network management platform after being calculated and determined, and thus can be directly read.

[0099] The weighted average calculation based on the historical average spectrum efficiency, the historical total transmission byte quantity, the total transmission byte quantity in the statistical time window, and the average spectrum efficiency in the statistical time window to obtain the updated average spectrum efficiency of the cell can be calculated by using the following formula:

[0100]

[0101] wherein, is the historical average spectrum efficiency, is the historical total transmission byte quantity, is the average spectrum efficiency in the statistical time window, is the total transmission byte quantity in the statistical time window.

[0102] Optionally, the way of obtaining the average spectrum efficiency of the cell based on the spectrum efficiency level, the number of transmission bytes, and the weighted average calculation of the total number of transmission bytes can also be: obtaining a total number of transmission bytes statistical threshold of the cell; in the case that the total number of transmission bytes does not reach the total number of transmission bytes statistical threshold, obtaining the historical average spectrum efficiency and the historical total number of transmission bytes of the cell; and performing weighted average calculation based on the historical average spectrum efficiency, the historical total number of transmission bytes, the total number of transmission bytes, and the average spectrum efficiency to obtain the updated average spectrum efficiency of the cell.

[0103] The total number of transmission bytes statistical threshold of the cell can be an upper limit of the total number of transmission bytes for performing weighted average calculation of the average spectrum efficiency of the cell. The total number of transmission bytes statistical threshold can be determined according to historical traffic distribution characteristics of the cell, network device processing capacity, service type priority, and quality of service requirement information, and is directly recorded and stored in the wireless network management platform, so that the total number of transmission bytes statistical threshold can be directly read.

[0104] It can be understood that in the case that the total number of transmission bytes reaches the total number of transmission bytes statistical threshold, the average spectrum efficiency of the cell in the last statistical period (one statistical period is from 0 to the total number of transmission bytes reaching the total number of transmission bytes statistical threshold) has been weighted and averaged, and the number of transmission bytes corresponding to each spectrum efficiency level and the total number of transmission bytes are reset to 0, so as to start data statistics of the next statistical period and realize periodic and continuous statistical calculation of the average spectrum efficiency of the cell.

[0105] The historical average spectrum efficiency of the cell can be the average spectrum efficiency of the cell calculated in the last statistical period, and the historical total number of transmission bytes of the cell can be the historical total number of transmission bytes of the cell calculated in the last statistical period.

[0106] The way of performing weighted average calculation based on the historical average spectrum efficiency, the historical total number of transmission bytes, the total number of transmission bytes, and the average spectrum efficiency to obtain the updated average spectrum efficiency of the cell can be calculated by the following formula:

[0107]

[0108] wherein, is the historical average spectrum efficiency, is the historical total number of transmission bytes, is the current calculated average spectrum efficiency, is the current calculated total number of transmission bytes.

[0109] The way of determining the spectrum resource requirement according to the medium-low priority packet transmission rate and the average spectrum efficiency can be that the medium-low priority packet transmission rate is divided by the average spectrum efficiency to obtain the spectrum resource requirement.

[0110] The advantage of the scheme is that the medium-low priority packet transmission rate is obtained when the service priority is medium-low priority, the average spectrum efficiency of the cell is calculated by weighted average based on the spectrum efficiency level, the transmission byte quantity and the total transmission byte quantity, and the spectrum resource requirement is determined according to the medium-low priority packet transmission rate and the average spectrum efficiency, so that the resource allocation strategy matching the overall network performance can be provided for the medium-low priority service under the premise of guaranteeing the high priority service resource priority.

[0111] In the technical scheme, the spectrum resource requirement is determined according to the service quality information and the reliability probability corresponding to each spectrum efficiency level, which includes:

[0112] The high priority packet transmission rate is obtained when the service priority is high priority.

[0113] The target spectrum efficiency level is determined according to the reliability parameter and the reliability probability corresponding to each spectrum efficiency level.

[0114] The spectrum resource requirement is determined according to the high priority packet transmission rate and the target spectrum efficiency level.

[0115] The high priority service is generally the service that is given the highest priority in network resource allocation, has strict requirements on network performance (such as delay, reliability and bandwidth, etc.), and has the priority occupation right in resource competition. The high priority packet transmission rate can be the data quantity that the high priority service can transmit in unit time when transmitting data. The high priority packet transmission rate is recorded and stored in the wireless network management platform, so it can be directly read and obtained.

[0116] The way of determining the target spectrum efficiency level according to the reliability parameter and the reliability probability corresponding to each spectrum efficiency level can be that 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 is determined as the target spectrum efficiency level.

[0117] The way of determining the spectrum resource requirement according to the high priority packet transmission rate and the target spectrum efficiency level can be that the high priority packet transmission rate is divided by the specific spectrum efficiency corresponding to the target spectrum efficiency level to obtain the spectrum resource requirement.

[0118] The advantage of the scheme is that by obtaining the high-priority packet transmission rate in the case that the service priority is high priority, determining the target spectrum efficiency level according to the reliability parameter and the reliability probability corresponding to each spectrum efficiency level, and determining the spectrum resource requirement according to the high-priority packet transmission rate and the target spectrum efficiency level, a resource allocation strategy with reliability priority can be constructed for the high-priority service, and stable transmission of the high-priority service in a complex wireless environment can be ensured.

[0119] S307, obtaining the empty spectrum resource, and performing a corresponding cell switching strategy according to the empty spectrum resource and the spectrum resource requirement.

[0120] The empty spectrum resource can refer to the amount of spectrum resource that is not currently occupied by the target cell and can be used for allocation. The empty spectrum resource record is stored in the wireless network management platform, and thus can be directly read.

[0121] According to the empty spectrum resource and the spectrum resource requirement, the corresponding cell switching strategy can be performed in the following manner: in the case that the empty spectrum resource is greater than or equal to the spectrum resource requirement, sending the switching permission confirmation information; in the case that the empty spectrum resource is less than the spectrum resource requirement, sending the switching disapproval confirmation information; and in the case that the empty spectrum resource is less than the spectrum resource requirement, determining a target transmission rate according to the empty spectrum resource, adjusting the packet transmission rate of the service priority to the target transmission rate, and sending the switching permission confirmation information.

[0122] In the technical scheme, the corresponding cell switching strategy can be performed according to the empty spectrum resource and the spectrum resource requirement in the following manner:

[0123] In the case that the empty spectrum resource is greater than or equal to the spectrum resource requirement, the switching permission confirmation information is sent.

[0124] Alternatively,

[0125] In the case that the empty spectrum resource is less than the spectrum resource requirement, the switching disapproval confirmation information is sent.

[0126] Alternatively,

[0127] In the case that the empty spectrum resource is less than the spectrum resource requirement, a target transmission rate is determined according to the empty spectrum resource.

[0128] The packet transmission rate of the service priority is adjusted to the target transmission rate, and the switching permission confirmation information is sent.

[0129] The idle spectrum resource is greater than or equal to the spectrum resource requirement, which means that the target cell provides services at the current packet transmission rate of the service priority, and can meet the service quality requirement of the target terminal device, so the target terminal device can be allowed to switch from the current cell to the target cell, and the switching permission confirmation information is sent. The switching permission confirmation information can be information for feeding back the cell switching request, and informing the current cell that the target terminal device can be switched to the target cell.

[0130] The idle spectrum resource is less than the spectrum resource requirement, which means that the target cell provides services at the current packet transmission rate of the service priority, and cannot meet the service quality requirement of the target terminal device, so the target terminal device can be directly rejected to switch from the current cell to the target cell, and the switching disapproval confirmation information is sent. The switching disapproval confirmation information can be information for feeding back the cell switching request, and 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 requirement of the target terminal device, and the switching permission confirmation information is sent.

[0131] The packet transmission rate of the service priority can be adjusted to meet the service quality requirement of the target terminal device in the following manner: the target transmission rate is determined according to the idle spectrum resource, and the packet transmission rate of the service priority is adjusted to the target transmission rate. The target transmission rate can be the packet transmission rate of the service priority that can meet the service quality requirement of the target terminal device. The target transmission rate can be determined in the following manner: the idle spectrum resource is divided by the target spectrum efficiency (in the case of medium or low priority of the service priority, the target spectrum efficiency is the average spectrum efficiency of the cell; in the case of high priority of the service priority, the target spectrum efficiency is the specific spectrum efficiency corresponding to the target spectrum efficiency level) to obtain the target transmission rate.

[0132] The advantages of the scheme are as follows: by sending the switching permission confirmation information when the idle spectrum resource is greater than or equal to the spectrum resource requirement, or sending the switching disapproval confirmation information when the idle spectrum resource is less than the spectrum resource requirement, or determining the target transmission rate according to the idle spectrum resource when the idle spectrum resource is less than the spectrum resource requirement, adjusting the packet transmission rate of the service priority to the target transmission rate, and sending the switching permission confirmation information, a dynamic balance can be achieved between service priority management, spectrum resource balanced allocation, and transmission efficiency optimization.

[0133] The advantage of the scheme is that by acquiring the service quality information of the target terminal device in the case of receiving the cell switching request, the spectrum resource demand is determined according to the service quality information and the reliability probability corresponding to each spectrum efficiency level, and the corresponding cell switching strategy is executed according to the idle spectrum resource and the spectrum resource demand, which can provide accurate guarantee for the service quality of the terminal device and realize intelligent scheduling of the spectrum resource.

[0134] Embodiment Four

[0135] Figure 4 is a structural schematic diagram of a wireless spectrum efficiency probability distribution determination apparatus provided by the embodiment four of the present application. As shown in Figure 4 the apparatus comprises:

[0136] A preset information acquisition module 410 is configured to acquire preset spectrum efficiency information of a cellular cell; wherein the preset spectrum efficiency information comprises a preset number of spectrum efficiency levels sorted from small to large;

[0137] A byte number determination module 420 is configured to acquire a transmission byte number corresponding to each spectrum efficiency level, and determine a total transmission byte number of the cellular cell according to the transmission byte number;

[0138] A distribution probability determination module 430 is configured to determine a 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;

[0139] A reliability probability determination module 440 is configured to determine a reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability.

[0140] In the embodiment of the present application, the preset information acquisition module is configured to acquire preset spectrum efficiency information of a cellular cell; wherein the preset spectrum efficiency information comprises a preset number of spectrum efficiency levels sorted from small to large; the byte number determination module is configured to acquire a transmission byte number corresponding to each spectrum efficiency level, and determine a total transmission byte number of the cellular cell according to the transmission byte number; the distribution probability determination module is configured to determine a 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 the reliability probability determination module is configured to determine a reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency level and the distribution probability. The wireless spectrum efficiency probability distribution determination device above can construct a spectrum efficiency probability distribution model for a wireless network cellular cell with dynamic spectrum efficiency adjustment capability, quantize the actual utilization mode and transmission stability of the spectrum resource of the cellular cell, and provide data support for dynamic resource scheduling.

[0141] The wireless spectrum efficiency probability distribution determination device in the embodiment of the present application can be a device, a component in a terminal, an integrated circuit, or a chip. The device can be a mobile electronic device or a non-mobile electronic device. Illustratively, the mobile electronic device can be an industrial tablet / handheld terminal (PDA), a mobile robot (AGV / AMR), a wireless sensor node, a portable measuring instrument, AR glasses / head-mounted equipment, a handheld industrial camera / visual inspection equipment, etc., and the non-mobile electronic device can be a programmable logic controller (PLC), an industrial computer (IPC) and an industrial computer, a fixed machine vision system, a sensor and an actuator, a human-machine interface (HMI), an industrial network device, a special processing / detection device, etc., and the embodiment of the present application is not limited specifically.

[0142] The wireless spectrum efficiency probability distribution determination device in the embodiment of the present application can be a device with an operating system. The operating system can be an Android operating system, an IOS operating system, or other possible operating systems, and the embodiment of the present application is not limited specifically.

[0143] The wireless spectrum efficiency probability distribution determination device provided in the embodiment of the present application can implement the processes implemented by the above-mentioned embodiments one to three, and thus details are not repeated here.

[0144] Embodiment five

[0145] As Figure 5As shown, the electronic device 500 includes a processor 501 and a memory 502. The memory 502 stores programs or instructions which, when executed by the processor 501, implement the processes of the above-mentioned wireless spectrum efficiency probability distribution determination method embodiments and achieve the same technical effects. To avoid repetition, details are not described herein.

[0146] It should be noted that the electronic device in the embodiments of the present application includes the mobile electronic device and the non-mobile electronic device described above.

[0147] Embodiment six

[0148] The embodiments of the present application further provide a readable storage medium having programs or instructions stored thereon. The programs or instructions, when executed by a processor, implement the processes of the above-mentioned wireless spectrum efficiency probability distribution determination method embodiments and achieve the same technical effects. To avoid repetition, details are not described herein.

[0149] The processor is the processor in the electronic device described in the above-mentioned embodiments. The readable storage medium includes a computer readable storage medium, such as a computer readable memory (Read-Only Memory, ROM), a random access memory (Random Access Memory, RAM), a magnetic disk or an optical disk, etc.

[0150] It should be noted that, in this document, the term "comprising" or "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that processes, methods, articles or devices including a series of elements not only include those elements, but also include other elements not explicitly listed, or further include elements inherent to such processes, methods, articles or devices. Without more limitations, the element defined by the statement "comprising a" does not exclude the presence of additional identical elements in the process, method, article or device including the element. In addition, it should be pointed out that the scope of the methods and devices in the embodiments of the present application is not limited to the order of performing the functions as shown or discussed, but can also include performing the functions in a substantially simultaneous manner or in a reverse order, for example, the described method can be performed in an order different from that described, and various steps can also be added, omitted or combined. In addition, the features described with reference to certain examples can be combined in other examples.

[0151] Through the description of the above embodiments, those skilled in the art can clearly understand that the above-mentioned example method can be realized by means of software and the necessary general hardware platform, of course, it can also be realized by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present application can be embodied in the form of a computer software product in essence or in the form of a computer software product that contributes to the prior art. The computer software product is stored in a storage medium (such as ROM / RAM, magnetic disc, optical disc), and includes a plurality of instructions for making a terminal (which can be a mobile phone, computer, server, or network device, etc.) execute the method described in each embodiment of the present application.

[0152] The embodiments of the present application are described above in combination with the drawings, but the present application is not limited to the above-mentioned specific embodiments, and the above-mentioned specific embodiments are only illustrative, not restrictive. Those skilled in the art can make many forms without departing from the scope of the present application and the protection scope of the claims under the inspiration of the present application, which all belong to the protection scope of the present application.

[0153] The above are only the preferred embodiments of the present application and the technical principles used. The present application is not limited to the specific embodiments described herein, and various obvious changes, readjustments and substitutions made by those skilled in the art will not deviate from the scope 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 can 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 of determining a probability distribution of wireless spectrum efficiency, the method comprising: The method comprises: acquiring preset spectrum efficiency information of a cell; wherein the preset spectrum efficiency information comprises a preset number of spectrum efficiency levels sorted from small to large; acquiring 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; determining a reliability probability corresponding to each spectrum efficiency level according to the spectrum efficiency levels and the distribution probability, wherein it comprises: for a 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; all spectrum efficiency levels are traversed to obtain the reliability probability corresponding to each spectrum efficiency level; in the case of receiving a cell switching request, acquiring service quality information of a target terminal device; wherein the service quality information comprises a service priority and a reliability parameter; determining spectrum resource demand according to the service quality information and the reliability probability corresponding to each spectrum efficiency level, wherein it comprises: in the case of the service priority being a medium or low priority, acquiring a packet transmission rate of the medium or low priority; performing weighted average calculation based on the spectrum efficiency levels, the number of transmission bytes and the total number of transmission bytes to obtain an average spectrum efficiency of the cell; determining spectrum resource demand according to the packet transmission rate of the medium or low priority and the average spectrum efficiency; acquiring spare spectrum resources, and performing a corresponding cell switching strategy according to the spare spectrum resources and the spectrum resource demand.

2. The method of claim 1, 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 comprises: acquiring a historical number of transmission bytes corresponding to each spectrum efficiency level and a historical distribution probability; performing weighted average calculation based on the historical number of transmission bytes, the historical distribution probability, the distribution probability and the total number of transmission bytes to obtain the updated distribution probability of each spectrum efficiency level.

3. The method of claim 1, wherein, Determining spectrum resource demand according to the service quality information and the reliability probability corresponding to each spectrum efficiency level comprises: in the case of the service priority being a high priority, acquiring a packet transmission rate of the high priority; determining a target spectrum efficiency level according to the reliability parameter and the reliability probability corresponding to each spectrum efficiency level; determining spectrum resource demand according to the packet transmission rate of the high priority and the target spectrum efficiency level.

4. The method of claim 1, wherein, Performing a corresponding cell switching strategy according to the spare spectrum resources and the spectrum resource demand comprises: in the case of the spare spectrum resources being greater than or equal to the spectrum resource demand, sending a switching permission confirmation information; or, in the case of the spare spectrum resources being less than the spectrum resource demand, sending a switching disapproval confirmation information; or, In a case that the empty spectrum resource is less than the spectrum resource requirement, a target transmission rate is determined according to the empty spectrum resource; The packet transmission rate of the service priority is adjusted to the target transmission rate, and a handover permission confirmation information is sent.

5. A wireless spectrum efficiency probability distribution determination apparatus characterized by, The apparatus comprises: A preset information obtaining module is configured to obtain preset spectrum efficiency information of a cell; wherein the preset spectrum efficiency information comprises a preset number of spectrum efficiency grades in ascending order; A byte number determining module is configured to obtain a transmission byte number corresponding to each spectrum efficiency grade, and determine a total transmission byte number of the cell according to the transmission byte number; A distribution probability determining module is configured to determine a distribution probability of each spectrum efficiency grade according to the transmission byte number corresponding to each spectrum efficiency grade and the total transmission byte number; A reliability probability determining module is configured to determine a reliability probability corresponding to each spectrum efficiency grade according to the spectrum efficiency grade and the distribution probability; The reliability probability determining module is specifically configured to: for a current spectrum efficiency grade, each spectrum efficiency grade greater than the current spectrum efficiency grade and the current spectrum efficiency grade 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 grade; all spectrum efficiency grades are traversed to obtain the reliability probability corresponding to each spectrum efficiency grade; The apparatus is further configured to: in a case that a cell handover request is received, obtain service quality information of a target terminal device; wherein the service quality information comprises a service priority and a reliability parameter; determine a spectrum resource requirement according to the service quality information and the reliability probability corresponding to each spectrum efficiency grade, comprising: in a case that the service priority is a medium or low priority, obtaining a packet transmission rate of the medium or low priority; performing weighted average calculation based on the spectrum efficiency grade, the transmission byte number and the total transmission byte number to obtain an average spectrum efficiency of the cell; determining a spectrum resource requirement according to the packet transmission rate of the medium or low priority and the average spectrum efficiency; obtaining an empty spectrum resource, and performing a corresponding cell handover strategy according to the empty spectrum resource and the spectrum resource requirement.

6. An electronic device, comprising: The apparatus comprises a processor, a memory and a program or instruction stored on the memory and executable on the processor, and the program or instruction is executed by the processor to implement the steps of the wireless spectrum efficiency probability distribution determining method in any one of claims 1-4.

7. A readable storage medium, characterized by, The program or instruction is stored on the readable storage medium and is executed by the processor to implement the steps of the wireless spectrum efficiency probability distribution determining method in any one of claims 1-4.

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