CN113784376B - Communication system processing method, server and storage medium - Google Patents

Abstract

The application provides a communication system processing method, a server and a storage medium, wherein the method comprises the following steps: acquiring cell-level application layer data and bandwidth data corresponding to a communication system; calculating the application layer data to obtain an average data service flow ratio; calculating the bandwidth data to obtain a bandwidth factor; and according to the average data service flow ratio and the bandwidth factor, carrying out standard efficiency calculation to obtain the standard efficiency of the target cell, wherein the standard efficiency is used for evaluating the resource efficiency. The cell standard efficiency which is close to the actual condition of using the network resources of the communication system and has high accuracy is obtained by acquiring important parameters influencing the perception of the user and the evaluation of the network resource efficiency of the communication system and carrying out comprehensive calculation processing on the important parameters. The method and the device effectively solve the problem that the resource occupation amount data of the physical layer adopted in the prior art cannot accurately evaluate the resource utilization efficiency actually used by the user.

Description

Communication system processing method, server and storage medium

technical field

The present application relates to the technical field of communication, and in particular to a communication system processing method, server and storage medium.

Background technique

The mobile communication system requires a large amount of investment in the construction of communication base stations to form a continuous coverage network and provide users with seamless coverage of voice and data services. The digital signals of mobile communication rely on radio waves to propagate, and frequency resources are very scarce resources. In order to make full use of resources such as base stations and frequencies, and improve resource usage efficiency and user perception, operators usually need to obtain cell-level resource usage in the mobile communication system, so as to facilitate the evaluation of resource usage efficiency.

At present, the communication system processing method commonly used in 2G, 3G, 4G and 5G to obtain cell-level resource usage in mobile communication systems is to directly obtain resource occupancy data of the physical layer from the base station, and then obtain the resource occupancy rate. By obtaining the resource occupancy rate, the resource utilization efficiency evaluation of the mobile communication system is realized.

Existing communication system processing methods cannot obtain accurate and comprehensive resource utilization data actually used by cell-level users in the mobile communication system, making it impossible for operators to accurately evaluate the resource utilization efficiency actually used by users.

Contents of the invention

This application provides a communication system processing method, server and storage medium to obtain the cell standard performance that directly affects user perception and characterizes the resource utilization rate of the communication system network, and solves the problem that the resource utilization efficiency actually used by the user cannot be accurately calculated in the prior art assessment questions.

In a first aspect, the present application provides a communication system processing method, including:

Obtain cell-level application layer data and bandwidth data corresponding to a communication system;

Calculating and processing the application layer data to obtain an average data traffic ratio;

Calculating and processing the bandwidth data to obtain a bandwidth factor;

According to the average data traffic ratio and the bandwidth factor, perform standard performance calculation to obtain the standard performance of the target cell, and the standard performance is used for resource efficiency evaluation.

Optionally, the application layer data includes: data service flow c carried by the target cell, all data service flow F carried by the communication standard to which the target cell belongs, the total number M of cells under the communication standard to which the target cell belongs, the target cell The cell service model correction coefficient ε of the cell;

The calculation and processing of the application layer data to obtain the average data traffic ratio includes:

The average data service traffic ratio μ of the target cell is determined by using the formula μ=c÷(F÷M)÷ε.

Optionally, the data service traffic c carried by the target cell specifically includes: a sum of at least one type of data service traffic carried by the target cell.

Optionally, the application layer data further includes: type number m of data service j, cell-level rate weight coefficient β _j of data service j in the target cell, network-level rate weight coefficient α _j of data service j, The number of users of data service j γ _j ;

确定。The cell service model correction coefficient ε of the target cell adopts the formula

Sure.

Optionally, the network-level rate weight coefficient of the data service j is obtained by capturing data across the entire network.

Optionally, the cell-level rate weight coefficient of the data service j in the target cell and the number of users of the data service j in the target cell are both obtained through system capture.

Optionally, the bandwidth data includes: the carrier type N co-configured by the mobile communication system under the communication system to which the target cell belongs, and the configured carrier number k to be counted in the target cell, where k∈{1,2,3,. ..i...N}, the absolute value d of the bandwidth configured by the target cell, the absolute value b _i of the bandwidth configured by the carrier numbered i under the communication system to which the target cell belongs, the number under the communication system to which the target cell belongs is the total number of cells corresponding to carrier i, n _i , the ratio S _k of all terminals in the network supporting the carrier numbered k among all terminals in the network under the communication system to which the target cell belongs, and the total number of cells under the communication system to which the target cell belongs M;

The calculating and processing the bandwidth data to obtain the bandwidth factor includes:

确定目标小区的带宽因子ρ。use the formula

Determine the bandwidth factor ρ of the target cell.

Optionally, the standard performance calculation is performed according to the average data traffic ratio and the bandwidth factor to obtain the standard performance of the target cell, including:

According to the average data traffic ratio μ and the bandwidth factor ρ, use the formula η=μ÷ρ to determine the standard performance η of the target cell.

In a second aspect, the present application provides a server, including:

processor and memory;

the memory stores executable instructions executable by the processor;

Wherein, the processor executes the executable instructions stored in the memory, so that the processor executes the communication system processing method as described above.

In a third aspect, the present application provides a storage medium, where computer-executable instructions are stored in the storage medium, and the computer-executable instructions are used to implement the communication system processing method as described above when executed by a processor.

In a fourth aspect, the present application provides a program product, including a computer program. When the computer program is executed by a processor, the above-mentioned method is implemented.

The communication system processing method, server and storage medium provided by the application. By obtaining important parameters that affect user perception and evaluation of communication system network resource efficiency, and performing comprehensive calculation and processing on them, a community standard performance that is appropriate and accurate to the actual situation of users using communication system network resources is obtained. It effectively solves the problem that the resource occupancy data of the physical layer used in the prior art includes the resource occupancy data of non-users, so that the resource usage efficiency actually used by the users cannot be accurately evaluated.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present application or the prior art, the following will briefly introduce the drawings that need to be used in the description of the embodiments or the prior art. Obviously, the accompanying drawings in the following description These are some embodiments of the present application. Those skilled in the art can also obtain other drawings based on these drawings without any creative effort.

FIG. 1 is a schematic diagram of communication system processing provided by an embodiment of the present application;

FIG. 2 is a first schematic flow diagram of a communication system processing method provided by an embodiment of the present application;

FIG. 3 is a second schematic flow diagram of a communication system processing method provided by an embodiment of the present application;

FIG. 4 is a schematic diagram of the standardization processing flow of cell data service preference provided by the embodiment of the present application;

FIG. 5 is a schematic structural diagram of a server provided by an embodiment of the present application.

Detailed ways

In order to make the purpose, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments It is a part of embodiments of the present invention, but not all embodiments. Based on the embodiments in this application, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of this application.

FIG. 1 is a schematic diagram of communication system processing provided by an embodiment of the present application. As shown in Figure 1, the communication system network includes the underlying physical layer and the top application layer. A data providing device 11 in the application layer is connected to a server 12 . Further, the server 12 includes a processor and a memory. The data providing device 11 monitors, records and stores the application layer data flowing into the user terminal and stored bandwidth data. Further, the application layer data and bandwidth data stored by the data providing device 11 may be stored in units of a cell. The server 12 acquires cell-level application layer data and bandwidth data from the data providing device 11 . The server 12 performs standard performance calculation on the acquired application layer data and bandwidth data to obtain the standard performance of the target cell. Staff can use the standard performance obtained by the server 12 to evaluate the usage of communication system resources in each cell, so as to optimize communication system resources and continuously improve user perception.

Optionally, the data providing device 11 may be any one of a network management device, an end-to-end analysis device, or a billing system device, which is not specifically limited in this embodiment.

In the prior art, operator personnel usually use the resource occupancy rate of the physical layer in the communication system network to troubleshoot or optimize resources in the communication system network resources. For example, when optimizing resources of a 4G long-term evolution (English: Long Term Evolution, referred to as: LTE) mobile communication system to improve user perception, the utilization rate of 4G physical resource blocks (English: Physical Resource Block, referred to as: PRB) is commonly used, and the communication system Evaluate resource usage efficiency. But sometimes there is strong interference inside and outside the communication system. Among them, the internal interference of the communication system, such as the unreasonable network structure caused by factors such as the network structure, the level of network structure design, and the actual deployment location of the base station, the internal interference of the communication system formed; the external interference of the communication system, such as the external environment of the communication system The interference caused by the interference signal to the communication system. The interference inside and outside the communication system often leads to the failure of correct decoding of user information in the LTE system, and the failure of effective transmission of user information, resulting in repeated retransmission of user information in the system. User information is repeatedly retransmitted in the system, resulting in a falsely high PRB utilization rate. The falsely high PRB utilization rate is not caused by users actually using services. When the staff uses the PRB utilization rate to evaluate the utilization efficiency of the communication system network resources, the falsely high resource occupation can easily lead to misleading, resulting in inaccurate evaluation results. The inaccurate evaluation of the utilization efficiency of network resources in communication systems often causes staff to miss serious interference problems in the network, and even affects the effectiveness of network resource optimization in communication systems.

Compared with the prior art, the main improvement of this embodiment is that according to the network resource optimization requirements of the communication system, the application layer service data and bandwidth data actually used by the user that affect resource usage efficiency and user perception are directly acquired. Based on the obtained application layer data and bandwidth data, the standard performance calculation is performed to obtain the standard performance of the target cell, so as to accurately evaluate the network resource efficiency of the communication system.

FIG. 2 is a first schematic flowchart of a communication system processing method provided by an embodiment of the present application. In this embodiment, on the basis of FIG. 1 , the flow of the communication system processing method is described in detail. The execution subject of this embodiment may be the server 12 in the embodiment shown in FIG. 1, and the method includes:

S201. Obtain cell-level application layer data and bandwidth data corresponding to a communication standard;

The current mainstream communication standards are 4G and 5G, and the application layer data that mainly affects user perception and network resource efficiency in 4G and 5G is the relevant data of application layer data service traffic.

Specifically, the data providing device 11 monitors, records and stores the application layer data of user terminals flowing into each cell, and stores the configured bandwidth data of each cell. When evaluating the resource efficiency of a target cell under a communication standard, the server 12 reads the application layer data and bandwidth data of the target cell from the data providing device 11 according to the communication number of the target cell.

Wherein, the application layer data of the target cell includes: the data service flow c carried by the target cell, all the data service flow F carried by the communication standard to which the target cell belongs, and the total number M of cells under the communication standard to which the target cell belongs. These application layer data are all important parameters that affect the accurate evaluation of the data traffic usage of the target cell.

The bandwidth data configured by the target cell includes: the carrier type N commonly configured by the mobile communication system under the communication system to which the target cell belongs, and the configured carrier number k to be counted in the target cell, where k∈{1,2,3,... i...N}, the absolute value d of the bandwidth configured by the target cell, the absolute value b _i of the bandwidth configured by the carrier numbered i under the communication system to which the target cell belongs, and the number i under the communication system to which the target cell belongs The total number of cells corresponding to the carrier of the target cell n _i , the proportion S _k of all terminals in the network supporting the carrier numbered k in the communication system to which the target cell belongs, and the total number M of cells in the communication system to which the target cell belongs. These bandwidth data are important parameters that affect the accurate evaluation of the bandwidth usage of the target cell. Specifically, carriers with the same center frequency point and bandwidth belong to the same type of carrier, and the same type of carrier uses the same carrier number.

Next, the server 12 performs comprehensive calculation and processing on the application layer data and bandwidth data that affect the accurate evaluation of the resource efficiency of the target cell according to the following steps, so as to obtain accurate standard energy efficiency for evaluating the network resource efficiency of the communication system.

S202. Calculate and process the application layer data to obtain an average data traffic ratio;

Specifically, users in different scenarios have different preferences for different types of data services when using data services. For example, users in the high school campus scene use more game apps, while users in the business office scene use more email or video services. The typical feature of game-type data services is frequent triggers but relatively small traffic, and the feature of email or video services is continuous large traffic. The c value of the data traffic carried by the cell in the high school campus scene is relatively small, and the c value of the cell in the business office scene is relatively large. This difference is not caused by network problems. In order to avoid misjudgment when evaluating cell data service traffic, it is extremely necessary to standardize cell data service preferences. Therefore, the server 12 first performs standardization processing on the data service preference of the target cell to obtain the cell service model correction coefficient ε of the target cell.

Next, based on the data service flow c carried by the target cell, the total data service flow F carried by the communication standard to which the target cell belongs, the total number of cells M under the communication standard to which the target cell belongs, and the cell service model correction coefficient ε of the target cell . The server 12 uses the following formula to determine the average data traffic ratio μ of the target cell:

μ=c÷(F÷M)÷ε.

The average data service traffic ratio μ of the target cell determined by the server 12 eliminates the preferences of different cells for data services. At the same time, the server 12 obtains the ratio of the data service traffic carried by the target cell to the average data service traffic carried by all cells under the communication system to which the target cell belongs. The average data service flow ratio μ of the target cell determined by the server 12 greatly facilitates the accurate comparison and analysis of the data service flow of different cells by the staff.

S203. Calculate and process the bandwidth data to obtain a bandwidth factor;

Specifically, the server 12 uses the following formula to determine the ratio of the bandwidth capability of the target cell to the bandwidth capability of all cells of the communication system, that is, the bandwidth factor ρ of the target cell:

Among them, N is the type of carrier co-configured by the mobile communication system under the communication system to which the target cell belongs, and k is the number of the carrier to be counted in the target cell, where k∈{1,2,3,...i... N}, d is the absolute value of the bandwidth configured by the target cell, _bi is the absolute value of the bandwidth configured by the carrier numbered i under the communication system to which the target cell belongs, and _n is numbered under the communication system to which the target cell belongs The total number of cells corresponding to the carrier of i, S _k is the proportion of terminals supporting the carrier number k among all terminals in the network under the communication system to which the target cell belongs, and M is the total number of cells under the communication system to which the target cell belongs . Specifically, carriers with the same center frequency point and bandwidth belong to the same type of carrier, and the same type of carrier uses the same carrier number.

The bandwidth factor ρ of the target cell determined by the server 12 is calculated comprehensively based on the bandwidth of a carrier and the total number of cells of the carrier, and additionally considering factors such as the terminal penetration rate of the carrier configured in the target cell. The bandwidth factor ρ of the target cell determined by the server 12 takes into account the bandwidth factor of the cell bandwidth evaluation itself and the influencing factors of the terminal equipment used by the user, so as to ensure that the bandwidth factor is more suitable for the actual usage of the user.

S204. Perform standard performance calculation according to the average data traffic ratio and the bandwidth factor to obtain the standard performance of the target cell, and the standard performance is used for evaluating resource efficiency;

Specifically, the server 12 performs standard performance calculation according to the average data traffic ratio μ and the bandwidth factor ρ to obtain the standard performance of the target cell. Specifically, the server 12 uses the formula η=μ÷ρ to determine the standard performance η of the target cell.

The server 12 can calculate the standard performance of different cells according to the method provided by this embodiment. Further, the server 12 compares the standard performance of the cell with a preset threshold to obtain a judgment result of the resource efficiency of the cell. Specifically, the preset threshold includes an upper threshold δ _high and a lower threshold δ _low . When η>δ _high , that is, the standard efficiency of the cell is higher than δ _high , the judgment result is that the cell carries too much traffic and the load is heavy, which may lead to poor user perception; when η<δ _low , that is, the standard efficiency of the cell is lower than When δ _{is low} , it means that the traffic carried by the cell is too small, and the wireless resources are not fully utilized, and related problems need to be resolved as soon as possible.

Optionally, the data service flow c carried by the target cell in step S202 may be the sum of all data service flows carried by the target cell, or the sum of at least one type of data service flow carried by the target cell.

When the data service flow c carried by the target cell is the sum of all data service flows carried by the target cell, the average data service flow ratio of the cell is the total data service flow ratio of the cell. The obtained standard efficiency of the cell can be used by the staff to troubleshoot network resource problems and optimize resources in the cell communication system. According to the standard performance and judgment results of different cells calculated by the server 12, the staff can accurately and timely find out the problem cells with abnormal resource efficiency. By quickly evaluating and analyzing the resource efficiency of the community, the staff can improve the resource optimization response rate, thereby improving user perception. In addition, combined with the standard efficiency of the cell and the PRB utilization rate of the cell, the internal and external interference of the system can also be effectively evaluated and analyzed.

When the data service traffic c carried by the target cell is the sum of one type of data service traffic among the multiple types of data service traffic carried by the target cell, the average data traffic ratio of the cell is the ratio of one type of data traffic traffic carried by the cell. The obtained cell standard performance can be used by the staff to analyze a specific type of data service, which is helpful for the service optimization of the data service or as a design reference for the development of new data services.

Further, when the server 12 calculates and determines the standard efficiency of the cell, the time period of the application layer data and bandwidth data obtained from the data providing device 11 may be a month as a time period, or a quarterly or annual period as a time period. The period is not specifically limited in this embodiment.

In this embodiment, the server 12 obtains important parameters that directly affect user perception and network resource efficiency evaluation of the communication system, performs comprehensive calculation and processing on them, and obtains accurate cell standard performance. In the process of obtaining the standard efficiency of the community, the data service preference and data service flow characteristics of different communities are standardized, and the obtained average data service flow ratio of the community ensures the accuracy of the comparative analysis between different communities. The bandwidth factor not only considers the bandwidth factor of the network itself, but also considers the impact of the terminal equipment used by the user on the usage of the data service flow. Therefore, the standard performance of the cell calculated based on the average data traffic ratio of the cell and the bandwidth factor is in line with the actual situation of users using network resources. The communication system processing method provided in this embodiment has high accuracy, which greatly facilitates staff to accurately evaluate the network resource efficiency of the communication system. In addition, the obtained cell standard performance is helpful for data service developers to optimize the existing data service or use it as a reference to develop new data services.

FIG. 3 is a second schematic flow diagram of a communication system processing method provided by an embodiment of the present application. Fig. 3 is a further detailed description on the basis of the embodiment shown in Fig. 2, as shown in Fig. 3, the method includes:

S301. Obtain cell-level application layer data and bandwidth data corresponding to a communication standard;

Specifically, step S301 is similar to the specific implementation manner of step S201 in the embodiment shown in FIG. 2 , and will not be repeated here in this embodiment.

S302. Calculate and determine the cell service model correction coefficient of the target cell according to the application layer data;

Specifically, the specific process of calculating and determining the correction coefficient of the cell service model of the target cell according to the application layer data is shown in FIG. 4 . FIG. 4 is a schematic diagram of the standardization processing flow of cell data service preferences provided by the embodiment of the present application. After the server 12 obtains the application layer data of the target cell according to step S301, it standardizes the preferences of different types of data services according to the flow shown in FIG. 4 , The cell service model correction coefficient ε of the target cell is obtained. Specifically include:

S401. Obtain cell-level data service traffic corresponding to a communication standard;

Specifically, step S401 is similar to the specific implementation manner of step S201 in the embodiment shown in FIG. 2 , which will not be repeated here in this embodiment.

S402. Classify the data service traffic according to the data service type;

Specifically, the server 12 classifies the data service traffic according to the type of data service, such as games, web browsing, instant messaging, video, etc., and configures a network-level rate weight coefficient α _j and A cell-level rate weight coefficient β _j .

S403. Obtain a network-level rate weight coefficient and a cell-level rate weight coefficient by means of data capture;

Specifically, both the network-level rate weight coefficient α _j and the cell-level rate weight coefficient β _j are obtained by the server 12 through data capture.

Wherein, the network-level rate weight coefficient α _j can be obtained by the server 12 through data capture of the entire network. Specifically, the server 12 captures the average rate of data services generated by continuous use of the data service j by all users under the communication system to which the target cell belongs to in the whole network data capture. Then, the server 12 sets the absolute value of the average rate of the data service generated by all users using the data service j as α _j . Optionally, the server 12 may also set the relative value of the relative value of the average rate of data services generated by different types of data services j under the communication system to which the target cell belongs to α _j .

The cell-level rate weight coefficient β _j can be obtained by the server 12 through system crawling. Specifically, the server 12 system captures the average rate of data services generated by the continuous use of data service j by all users in the target cell. Then, the server 12 sets the absolute value of the average data service rate generated by all users in the target cell using the data service j as β _j . Optionally, the server 12 may also set the relative value of the magnitude relationship between the average rates of data services generated by different types of data services j in the target cell as β _j .

S404. Obtain the number of users of each data service in the target cell by means of data capture;

Specifically, the server 12 captures the number of users of each data service j in the target cell by means of system capture, and obtains the number of users γ _j of each data service j in the target cell.

S405. Obtain the number of users of each data service in the target cell by means of data capture;

Specifically, based on the network-level rate weight coefficient α _j obtained in steps S403-S404, the cell-level rate weight coefficient β _j and the number of users γ _j of each data service j in the target cell, the server 12 uses the following formula to determine the cell service of the target cell Model correction factor ε:

Among them, j=1, 2, 3, . . . m.

The correction coefficient of the cell service model of the target cell comprehensively considers the user's preference factors for data services in different scenarios and the characteristics of different types of data services, and can be used to calculate the average data traffic flow ratio of the cell to obtain a high-precision average. Data traffic ratio. The correction coefficient of the cell service model of the target cell ensures the accuracy of subsequent comparison and analysis of the average data traffic ratios of different cells.

The specific manner in which the server 12 uses the cell service model correction coefficient of the target cell to calculate the average data traffic ratio of the cell is as follows in step S303.

S303. Based on the correction coefficient of the cell service model of the target cell, calculate and process the application layer data to obtain an average data traffic ratio;

S304. Calculate and process the bandwidth data to obtain a bandwidth factor;

S305. Perform standard performance calculation according to the average data traffic ratio and the bandwidth factor to obtain the standard performance of the target cell, and the standard performance is used for evaluating resource efficiency;

Specifically, steps S303-S305 are similar to the specific implementation manners of steps S202-S204 in the embodiment shown in FIG. 2 , which will not be repeated here in this embodiment.

Using the method provided in this embodiment can quickly identify cells with abnormal use of network resources in the communication system, which facilitates staff to quickly and effectively solve cell-level problems and enhances user awareness. The following specific implementation cases are used to further illustrate the method provided in this embodiment.

The following is the specific process for the server 12 to determine the standard performance of cell A in August through the method provided by this embodiment. The server 12 acquires application layer data and bandwidth data related to cell A from the data providing device 11 . The application layer data and bandwidth data related to cell A obtained by the server 12 are: the 4G network of the 4G communication standard to which cell A belongs is deployed in three networks of 900MHz (abbreviation: L900), 1800MHz (abbreviation: L1800), and 2100MHz (abbreviation: L2100). In the frequency band, the frequency band of cell A is L900, where,

The L900 has a total of 100 cells, and the bandwidth configured for the 100 cells is 10MHz;

L1800 has a total of 200 cells, and the bandwidth configured for these 200 cells is 20MHz;

L2100 has a total of 100 cells, and the bandwidth configured for the 100 cells is 20MHz;

90% of the 4G mobile phones under the 4G communication standard to which cell A belongs support the L900 frequency band;

The total traffic of the 4G network in August under the 4G communication system to which cell A belongs is 55,000GB (English: Gigabyte, referred to as: GB);

The data traffic carried by cell A in August is 35 GB.

First, the server 12 calculates the service model correction coefficient ε of cell A as follows:

Specifically, the server 12 first divides the data services in August into four types of data services: game, web browsing, instant messaging, and video.

The server 12 then obtains the 4 types of data services through the whole network data capture. The average rate of the data services generated in the 4G network under the 4G communication standard of the cell A is: 100kbps for games, 200kbps for web browsing, 600kbps for instant messaging, and 600kbps for video. 2000kbps. Thus, the server 12 respectively sets the network-level rate weight coefficients α _j of the four types of data services as follows: game type α ₁ =100, web browsing type α ₂ =200, instant messaging type α ₃ =600, video type α ₄ =2000.

Similarly, the server 12 obtains the average rate of data services generated by four types of data services in cell A through system data capture: 90 kbps for games, 190 kbps for web browsing, 400 kbps for instant messaging, and 1000 kbps for videos. The server 12 sets the cell-level rate weight coefficients β _j of the four types of data services as follows: game β ₁ =90, web browsing β ₂ =190, instant messaging β ₃ =400, and video β ₄ =1000.

Similarly, the server 12 obtains the number of users γ _j of the four types of data services in the cell A through system data capture: γ ₁ = 201 for games, γ ₂ = 301 for web browsing, γ ₃ = 401 for instant messaging, Video class γ ₄ =202.

The server 12 calculates the cell service model correction coefficient ε of the target cell of cell A according to the network-level rate weight coefficient α _j of the above four types of data services, the cell-level rate weight coefficient β _j , and the number of users in cell A γ _j as follows:

其中，j＝1,2,3，...m。

Wherein, j=1, 2, 3, . . . m.

Then, the server 12 calculates the average data traffic ratio μ of cell A as:

μ＝c÷(F÷M)÷ε

＝35÷[55000÷(100+200+100)]÷0.756

=0.337;

Next, the server 12 calculates the bandwidth factor ρ of cell A as:

Finally, the server 12 calculates the standard performance η of the cell A:

η=μ÷ρ=0.337÷0.514=0.656.

Further, the server 12 presets the upper threshold δ _high =0.8, and the lower threshold δ _low =0.7. According to the standard performance η=0.656 of the cell A, the server 12 judges that: the standard performance of the cell A is lower than the lower threshold δ _low , and the cell A fails to fully play its role, and the use efficiency is relatively low.

Next, the staff can analyze the network problems of cell A based on the judgment results of the above server 12, and see what factors lead to its low usage efficiency, such as weak coverage, interference, and improper carrier equalization configuration. After solving the problems, you can Allow cell A to more fully absorb data traffic.

In this embodiment, the server 12 classifies the data service traffic carried by the cell, and then obtains the network-level rate weight coefficient and the cell-level rate weight coefficient of each type of data service through data capture. The network-level rate weight coefficient and the cell-level rate weight coefficient of each type of data service are used to standardize the data service preferences of different cells and obtain the cell service model correction coefficient of the target cell. Then, the cell average data traffic ratio calculated by using the cell business model correction coefficient of the target cell is a corrected value, which ensures the accuracy of the comparative analysis of the cell average data traffic ratio between different cells. Finally, the modified average data traffic ratio and bandwidth factor of the cell are used to calculate the standard performance, and the accurate standard performance of the cell is obtained. By comparing the standard performance of the cell with the preset threshold, the judgment result of the network resource usage efficiency of the cell communication system can be directly obtained. The staff can quickly identify cells with abnormal use of network resources in the communication system through the judgment results, quickly and effectively solve cell-level problems, optimize network resources, and greatly enhance user perception.

The embodiment of the present application also provides a server. FIG. 5 is a schematic structural diagram of a server provided by an embodiment of the present application. As shown in FIG. 5, the server includes a processor 51 and a memory 52, and the memory 52 stores executable instructions executable by the processor 51, so that the processor 51 can be used to implement the technical solutions of the above-mentioned method embodiments, and its implementation principles and The technical effects are similar, and details will not be repeated here in this embodiment. It should be understood that the above-mentioned processor 51 can be a central processing unit (English: Central Processing Unit, referred to as: CPU), and can also be other general-purpose processors, digital signal processors (English: Digital Signal Processor, referred to as: DSP), dedicated integrated Circuit (English: Application Specific Integrated Circuit, referred to as: ASIC), etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like. The steps of the method disclosed in conjunction with the invention can be directly implemented by a hardware processor, or implemented by a combination of hardware and software modules in the processor. The storage 52 may include a high-speed RAM memory, and may also include a non-volatile storage NVM, such as at least one disk storage, and may also be a U disk, a mobile hard disk, a read-only memory, a magnetic disk, or an optical disk.

The embodiment of the present application also provides a storage medium, where computer-executable instructions are stored in the storage medium, and when these computer-executable instructions are executed by a processor, the above communication system processing method is implemented.

The storage medium can be realized by any type of volatile or non-volatile storage device or their combination, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable Programmable Read Only Memory (EPROM), Programmable Read Only Memory (PROM), Read Only Memory (ROM), Magnetic Memory, Flash Memory, Magnetic or Optical Disk. A storage media may be any available media that can be accessed by a general purpose or special purpose computer.

An exemplary storage medium is coupled to the processor such the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be a component of the processor. The processor and the storage medium may be located in an application specific integrated circuit (English: Application Specific Integrated Circuits, ASIC for short). Of course, the processor and the storage medium can also exist in the electronic device or the main control device as discrete components.

The embodiment of the present application further provides a program product, such as a computer program, which implements the communication system processing method covered by the present application when the computer program is executed by a processor.

Those of ordinary skill in the art can understand that all or part of the steps for implementing the above method embodiments can be completed by program instructions and related hardware. The aforementioned program can be stored in a computer-readable storage medium. When the program is executed, it executes the steps including the above-mentioned method embodiments; and the aforementioned storage medium includes: ROM, RAM, magnetic disk or optical disk and other various media that can store program codes.

Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: It can still modify the technical solutions described in the foregoing embodiments, or perform equivalent replacements for some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention. .

Claims (9)

1. A communication system processing method, characterized in that, comprising: Obtain cell-level application layer data and bandwidth data corresponding to a communication system; Calculating and processing the application layer data to obtain an average data traffic ratio; Calculating and processing the bandwidth data to obtain a bandwidth factor; performing standard performance calculation according to the average data traffic ratio and the bandwidth factor to obtain the standard performance of the target cell, and the standard performance is used for evaluating resource efficiency; The application layer data includes: the data service flow c carried by the target cell, all the data service flow F carried by the communication standard to which the target cell belongs, the total number M of cells under the communication standard to which the target cell belongs, and the cell service volume of the target cell Model correction coefficient ε; The calculation and processing of the application layer data to obtain the average data traffic ratio includes: The average data service traffic ratio μ of the target cell is determined by using the formula μ=c÷(F÷M)÷ε. 2 . The method according to claim 1 , wherein the data service traffic c carried by the target cell specifically includes: the sum of at least one type of data service traffic carried by the target cell. 3. The method according to claim 1, wherein the application layer data further includes: the type number m of data service j, the cell-level rate weight coefficient β _j of data service j in the target cell, the number of data services j Network-level rate weight coefficient α _j , the number of users of data service j in the target cell γ _j ; The cell service model correction coefficient ε of the target cell adopts the formula

Sure. 4. The method according to claim 3, characterized in that the network-level rate weight coefficient of the data service j is obtained by capturing data across the entire network. 5. The method according to claim 3, characterized in that, the cell-level rate weight coefficient of the data service j in the target cell and the number of users of the data service j in the target cell are all obtained by means of system capture . 6. The method according to any one of claims 1-5, wherein the bandwidth data includes: the carrier type N co-configured by the mobile communication system under the communication system to which the target cell belongs, and the configurations to be counted in the target cell The carrier number k of the target cell, where k∈{1,2,3,...i...N}, the absolute value d of the bandwidth configured by the target cell, is configured by the carrier numbered i under the communication system to which the target cell belongs The absolute value b _i of the bandwidth of the target cell, the total number of cells corresponding to the carrier number i under the communication system to which the target cell belongs, n _i , and the number of terminals supporting the carrier number k among all terminals in the network under the communication system to which the target cell belongs Proportion S _k , the total number M of cells under the communication system to which the target cell belongs; The calculating and processing the bandwidth data to obtain the bandwidth factor includes: use the formula

Determine the bandwidth factor ρ of the target cell. 7. The method according to any one of claims 1-5, wherein the standard performance calculation is performed according to the average data traffic ratio and the bandwidth factor to obtain the standard performance of the target cell, including: According to the average data traffic ratio μ and the bandwidth factor ρ, use the formula η=μ÷ρ to determine the standard performance η of the target cell. 8. A server, comprising: a processor and a memory; the memory stores executable instructions executable by the processor; Wherein, the processor executes the executable instructions stored in the memory, so that the processor executes the method according to any one of claims 1-7. 9. A storage medium, wherein computer-executable instructions are stored in the storage medium, and the computer-executable instructions are used to implement the method according to any one of claims 1-7 when executed by a processor.

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