CN114071520A

CN114071520A - LTE network problem positioning method and device and electronic equipment

Info

Publication number: CN114071520A
Application number: CN202010783026.3A
Authority: CN
Inventors: 邹海燕; 张悦; 蓝万顺; 陆庆杭; 刘大洋; 罗春威; 周玮; 李慧
Original assignee: China Mobile Communications Group Co Ltd; China Mobile Group Guangdong Co Ltd
Current assignee: China Mobile Communications Group Co Ltd; China Mobile Group Guangdong Co Ltd
Priority date: 2020-08-06
Filing date: 2020-08-06
Publication date: 2022-02-18
Anticipated expiration: 2040-08-06
Also published as: CN114071520B

Abstract

The application discloses a method and a device for positioning LTE network problems and electronic equipment, and at least solves the technical problem that the LTE network problem cannot be accurately positioned in the prior art. The method comprises the following steps: acquiring user perception data and service efficiency related data of a specified LTE cell, wherein the perception data comprises TCP handshake delay and downlink average rate, and the service efficiency related data comprises cell flow and cell user number; determining a user perception evaluation result of the designated LTE cell based on the user perception data and a perception evaluation standard; determining a service efficiency evaluation result of the designated LTE cell based on the service efficiency related data and an efficiency evaluation standard; determining whether the designated LTE cell is a problem cell or not based on the user perception evaluation result and the service efficiency evaluation result of the designated LTE cell; and under the condition that the designated LTE cell is the problem cell, performing network problem positioning on the designated LTE cell based on the service efficiency related data of the designated LTE cell.

Description

LTE network problem positioning method and device and electronic equipment

Technical Field

The application relates to the technical field of computers, in particular to a method and a device for positioning LTE network problems and electronic equipment.

Background

An LTE (Long Term Evolution) network adopts a mixed networking of multiple frequency band systems, the wireless environment is complex, multiple layers of networks play different roles, and how to accurately position the LTE network problem is an important link in cost reduction and efficiency improvement.

In the prior art, a uniform capacity type KPI index threshold is usually adopted for all LTE cells to locate LTE network problems, however, this extensive location method cannot accurately locate the capacity problem affecting user perception, and further causes problems such as inaccurate resource delivery to each LTE cell and insufficient mining of service efficiency for some LTE cells.

Disclosure of Invention

The embodiment of the application provides a method and a device for positioning an LTE network problem and electronic equipment, and aims to at least solve the technical problem that the LTE network problem cannot be accurately positioned in the prior art.

In order to solve the technical problem, the embodiment of the application adopts the following technical scheme:

according to a first aspect of an embodiment of the present application, a method for positioning an LTE network problem is provided, including:

acquiring user perception data and service efficiency related data of a specified Long Term Evolution (LTE) cell, wherein the perception data comprises Transmission Control Protocol (TCP) handshake delay and downlink average rate, and the service efficiency related data comprises cell flow and cell user number;

determining a user perception evaluation result of the designated LTE cell based on the user perception data and a perception evaluation standard;

determining a service efficiency evaluation result of the designated LTE cell based on the service efficiency related data and an efficiency evaluation standard;

determining whether the designated LTE cell is a problem cell or not based on the user perception evaluation result and the service efficiency evaluation result of the designated LTE cell;

and under the condition that the designated LTE cell is a problem cell, performing network problem positioning on the designated LTE cell based on the service efficiency related data of the designated LTE cell.

Optionally, determining whether the designated LTE cell is a problem cell based on the user perception evaluation result and the service performance evaluation result of the designated LTE cell includes:

and determining the designated LTE cell as a problem cell under the condition that the user perception evaluation result is smaller than a first preset value and/or the service efficiency evaluation result is smaller than a second preset value.

Optionally, when the designated LTE cell is a problem cell, performing network problem location on the designated LTE cell based on the service performance related data of the designated LTE cell, including:

determining a flow coefficient of the specified LTE cell based on the cell flow of the specified LTE cell and the average single carrier flow of the region where the specified LTE cell is located;

determining a target optimization strategy set aiming at the specified LTE cell based on the corresponding relation between the flow coefficient of the specified LTE cell and each preset flow coefficient interval and the optimization strategy set;

and optimizing the LTE network of the specified LTE cell based on the target optimization strategy set, and determining the network problems of the specified LTE cell based on the optimization processing results corresponding to the optimization strategies in the target optimization strategy set.

Optionally, the perception evaluation criteria include a first corresponding relationship between TCP handshake delay and a delay score and a second corresponding relationship between downlink average rate and a rate score under different network configuration information;

determining a user perception evaluation result of the designated LTE cell based on the user perception data and the perception evaluation criteria, wherein the determining comprises the following steps:

acquiring network configuration information of the designated LTE cell;

determining a delay score of the designated LTE cell based on the TCP handshake delay of the designated LTE cell and the first corresponding relation under the network configuration information of the designated LTE cell;

determining a rate score of the specified LTE cell based on the downlink average rate of the specified LTE cell and the second corresponding relation under the network configuration information of the specified LTE cell;

and determining a user perception evaluation result of the LTE cell based on the time delay value and the rate grouping of the specified LTE cell.

Optionally, before determining the service performance evaluation result of the specified LTE cell based on the service performance related data and the performance evaluation criteria, the method further includes:

acquiring a sample LTE cell set corresponding to various network configuration information;

and determining the efficiency evaluation standard based on user perception data and service efficiency related data of each LTE cell sample corresponding to various network configuration information.

Optionally, the performance evaluation criteria include a third correspondence between cell user numbers and user performance scores and a fourth correspondence between cell traffic and traffic performance scores under different network configuration information;

determining the efficiency evaluation standard based on user perception data and service efficiency related data of each sample LTE cell corresponding to various network configuration information, wherein the efficiency evaluation standard comprises the following steps:

for each type of network configuration information, determining a first correlation relation curve between the cell user number and TCP handshake delay based on the cell user number of each LTE cell corresponding to the network configuration information and the TCP handshake delay, and determining the third correspondence relation under the network configuration information based on the first correlation relation curve; and the number of the first and second groups,

and determining a second correlation relation curve between the cell user number and the cell flow based on the cell user number and the cell flow of each sample LTE cell corresponding to the network configuration information, and determining the fourth corresponding relation under the network configuration information based on the second correlation relation curve.

Optionally, determining a service performance evaluation result of the specified LTE cell based on the service performance related data and the performance evaluation criteria includes:

acquiring network configuration information of the designated LTE cell;

determining a user number efficiency score of the specified LTE cell based on the cell user number of the specified LTE cell and the third corresponding relation under the network configuration information of the specified LTE cell;

determining a traffic efficiency score of the specified LTE cell based on the cell traffic of the specified LTE cell and the fourth corresponding relation under the network configuration information of the specified LTE cell;

and determining a service efficiency evaluation result of the specified LTE cell based on the user efficiency score and the flow efficiency score of the specified LTE cell.

Optionally, obtaining a sample LTE cell set corresponding to various network configuration information includes:

for each type of network configuration information, acquiring Channel Quality Indicator (CQI) data and uplink block error rate (BLER) of a plurality of cells of an LTE network covered with the network configuration information;

and selecting a cell with the CQI exceeding a CQI threshold and the uplink BLER being smaller than an error rate threshold from the plurality of cells as a sample LTE cell to obtain a sample LTE cell set corresponding to the network configuration information.

According to a second aspect of the embodiments of the present application, there is provided an LTE network problem location apparatus, including:

the system comprises a first acquisition module, a second acquisition module and a third acquisition module, wherein the first acquisition module is used for acquiring user perception data and service efficiency related data of a specified Long Term Evolution (LTE) cell, the perception data comprises Transmission Control Protocol (TCP) handshake delay and downlink average rate, and the service efficiency related data comprises cell flow and cell user number;

a first evaluation module, configured to determine a user perception evaluation result of the specified LTE cell based on the user perception data and a perception evaluation criterion;

a second evaluation module, configured to determine a service performance evaluation result of the specified LTE cell based on the service performance related data and a performance evaluation criterion;

the identification module is used for determining whether the designated LTE cell is a problem cell or not based on the user perception evaluation result and the service efficiency evaluation result of the designated LTE cell;

and the problem positioning module is used for positioning the network problem of the specified LTE cell based on the service efficiency related data of the specified LTE cell under the condition that the specified LTE cell is the problem cell.

According to a third aspect of embodiments of the present application, there is provided an electronic apparatus, including:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of the first aspect.

According to a fourth aspect of embodiments herein, there is provided a computer-readable storage medium having instructions which, when executed by a processor of an electronic device, enable the electronic device to perform the method of the first aspect.

The embodiment of the application adopts at least one technical scheme which can achieve the following beneficial effects:

the method comprises the steps of determining a user perception evaluation result capable of reflecting the user perception condition of the LTE cell through user perception data and a perception evaluation standard of the LTE cell, determining a service efficiency evaluation result capable of reflecting the service efficiency condition of the LTE cell through service efficiency related data and an efficiency evaluation standard of the LTE cell, integrating the user perception evaluation combination and the service efficiency evaluation result of the LTE cell, being capable of accurately reflecting the problems in the aspects of user perception and service efficiency of the LTE cell, and then carrying out network problem positioning on the LTE cell based on the service efficiency related data of the LTE cell for the LTE cell with problems, compared with the prior art that a uniform capacity class KPI index threshold value is adopted to position the LTE network problems, the method can quickly and accurately position the root cause of the problems of the LTE cell, on one hand, can reduce manpower, reduce material resources and achieve cost reduction, the efficiency is improved, and on the other hand, targeted prevention can be performed on the positioned root cause, so that network user complaints are reduced, and the user satisfaction is improved.

Drawings

The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiment(s) of the application and together with the description serve to explain the application and not to limit the application. In the drawings:

fig. 1 is a flowchart of an LTE network problem location method according to an embodiment of the present application;

fig. 2 is a flowchart of another LTE network problem location method according to an embodiment of the present application;

fig. 3 is a schematic diagram of identifying a problem cell according to an embodiment of the present application;

fig. 4 is a flowchart of a method for performing network problem location on a problem cell according to an embodiment of the present application;

fig. 5 is a flowchart of another LTE network problem location method according to an embodiment of the present application;

fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application;

fig. 7 is a schematic structural diagram of an LTE network problem location apparatus according to an embodiment of the present application.

Detailed Description

In order to make the objects, technical solutions and advantages of the present application more apparent, the technical solutions of the present application will be described in detail and completely with reference to the following specific embodiments of the present application and the accompanying drawings. It should be apparent that the described embodiments are only some of the embodiments of the present application, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present application.

The technical solutions provided by the embodiments of the present application are described in detail below with reference to the accompanying drawings.

Example 1

Referring to fig. 1, an embodiment of the present application provides a method for positioning an LTE network problem, as shown in fig. 1, the method includes:

s102, user perception data and service efficiency related data of a designated Long Term Evolution (LTE) cell are obtained.

In the embodiment of the present application, an LTE cell refers to a cell covered with an LTE network. The user-perceived data refers to data affecting the perception of the user on the LTE network, and may specifically include, but is not limited to, TCP (Transmission Control Protocol) handshake delay and downlink average rate. In practical applications, the TCP handshake delay may be an average delay of the second handshake and the third handshake of the TCP connection.

The service performance related data refers to data affecting the performance of the LTE network service, and may specifically include cell traffic and the number of cell users. The number of cell users may be determined based on a maximum number of effective RRC (Radio Resource Control) connections of the LTE cell. The cell traffic may be an average traffic per hour, an average traffic per day, or the like, which is not limited in this embodiment.

It should be noted that, the cell traffic and the number of cell users are screened out by integrating and analyzing various service performance related data and TCP handshake delays of different LTE cells and further performing correlation analysis between the various service performance related data and the TCP handshake delays, where the correlation analysis may use, for example, a pearson correlation coefficient.

S104, determining a user perception evaluation result of the designated LTE cell based on the user perception data and the perception evaluation standard of the designated LTE cell.

In the embodiment of the application, the user perception evaluation result of the LTE cell is used for reflecting the perception situation of the user of the LTE cell to the LTE network of the LTE cell. The perception evaluation criterion may be a preset criterion for quantifying the user perception situation of the LTE cell.

In an alternative embodiment, as shown in fig. 2, the perceptual evaluation criteria may include a first correspondence between TCP handshake delay and delay score and a second correspondence between downstream average rate and rate score. The time delay value of the LTE cell reflects the TCP handshake time delay condition of the LTE cell, if the time delay value of the LTE cell is higher, the TCP handshake time delay of the LTE cell is smaller, and the better perception of a user of the LTE cell to the LTE network is reflected to a certain extent; similarly, the rate score of the LTE cell reflects the downlink average rate of the LTE cell, and if the rate score of the LTE cell is higher, it indicates that the downlink average rate of the LTE cell is higher, and also reflects to a certain extent that the user of the LTE cell perceives better to the LTE network.

Accordingly, when determining the user perception evaluation result of the specified LTE cell, the user perception evaluation result of the LTE cell may be determined based on the TCP handshake delay of the specified LTE cell and the first corresponding relationship, by querying a delay score corresponding to the TCP handshake delay of the specified LTE cell, and by querying a rate score corresponding to the downlink average rate of the specified LTE cell based on the downlink average rate of the TCP of the specified LTE cell and the second corresponding relationship, and further based on the delay score and the rate score of the specified LTE cell. Specifically, the weighted sum of the latency score and the rate score of the specified LTE cell may be used as the user perception evaluation result for the LTE cell.

In another optional embodiment, in consideration of different network configuration information such as the system (for example, including a Time Division Duplex (TDD) system and a Frequency Division Duplex (FDD) system), the frequency band (for example, including A, E, D, F, 1800, 900, etc.), and the bandwidth (for example, including 5M, 20M, etc.) of the LTE network covered by different LTE cells, there is a certain difference in user-perceived data. In this regard, in order to more accurately evaluate the user perception of a given LTE cell, the first corresponding relationship and the second corresponding relationship may be set differently for different network configuration information. That is, the perceptual evaluation criteria may include a first correspondence between TCP handshake delay and delay score and a second correspondence between downlink average rate and rate score under different network configuration information.

Correspondingly, when determining the user perception evaluation result of the specified LTE cell, the network configuration information of the specified LTE cell may be first obtained, the delay score of the specified LTE cell is further determined based on the TCP handshake delay of the specified LTE cell and the first corresponding relationship under the network configuration information of the specified LTE cell, the rate score of the specified LTE cell is determined according to the downlink average rate of the specified LTE cell and the second corresponding relationship under the network configuration information of the specified LTE cell, and the user perception evaluation result of the LTE cell is further determined based on the delay score and the rate score of the specified LTE cell. Specifically, the weighted sum of the latency score and the rate score of the specified LTE cell may be used as the user perception evaluation result for the LTE cell.

It should be noted that, in the above embodiments, the weight of the delay score and the weight of the rate score may be set according to actual needs in a customized manner, for example, the weight of the delay score and the weight of the rate score may be set to 50%. In addition, the first corresponding relation between the TCP handshake delay and the delay score and the second corresponding relation between the downlink average rate and the rate score can also be set in a self-defined manner according to actual needs. For example, table 1 shows an example of the above-described first correspondence, and table 2 shows an example of the above-described second correspondence.

TABLE 1

TCP handshake delay Deltat	Time delay score
		Greater than 300ms	0 point (min)
[8ms,300ms]	m△t，m＞0
		Less than 8ms	100 minutes

TABLE 2

It should be noted that, in some alternative embodiments, the perception evaluation criteria may also include a correspondence between TCP handshake delay, delay score, and user perception score. Correspondingly, when determining the user perception evaluation result of the specified LTE cell, the user perception score of the specified LTE cell may be determined based on the TCP handshake delay, the downlink average rate, and the correspondence, and the determined user perception score may be used as the user perception evaluation result of the specified LTE cell.

Of course, in addition, in consideration of different network configuration information such as the system (for example, including the time division duplex TDD system and the frequency division duplex FDD system), the frequency band (for example, including A, E, D, F, 1800, 900, and the like), and the bandwidth (for example, including 5M, 20M, and the like) of the LTE network covered by different LTE cells, there is a certain difference in the user-perceived data. In this regard, in order to more accurately evaluate the user perception of a given LTE cell, different corresponding relationships may be set for different network configuration information. That is to say, the perception evaluation criteria may include a correspondence between TCP handshake delay, delay score, and user perception score under different network configuration information.

Correspondingly, when determining the user perception evaluation result of the specified LTE cell, the network configuration information of the specified LTE cell can be acquired, the user perception score of the specified LTE cell is determined based on the TCP handshake delay and the delay score of the specified LTE cell and the corresponding relation under the network configuration information of the specified LTE cell, and the determined user perception score is used as the user perception evaluation result of the specified LTE cell.

It can be understood that the user perception evaluation result of the LTE cell is comprehensively determined based on the obtained delay value and the rate value by respectively evaluating the TCP delay and the downlink average rate of the LTE cell, so that the obtained user perception evaluation result can accurately and comprehensively reflect the user perception condition of the LTE cell.

S106, determining a service efficiency evaluation result of the designated LTE cell based on the service efficiency related data and the efficiency evaluation standard of the designated LTE cell.

In the embodiment of the application, the service performance evaluation result of the LTE cell is used to reflect the service performance condition of the LTE network of the LTE cell. The performance evaluation criterion may be a preset criterion for quantifying the service performance of the LTE network of the LTE cell.

In an alternative embodiment, as shown in fig. 2, the performance evaluation criteria may include a third correspondence between the number of cell users and the performance score of the number of users, and a fourth correspondence between the cell traffic and the performance score of the traffic. The user number efficiency score of the LTE cell reflects the degree of influence of the cell user number of the LTE cell on the LTE network service efficiency of the LTE cell, and if the influence of the cell user number of the LTE cell on the LTE network service efficiency of the LTE cell is larger, the user number efficiency score of the LTE cell is higher, and otherwise, the user number efficiency score of the LTE cell is lower. The flow efficiency score of the LTE cell reflects the degree of influence of the cell flow of the LTE cell on the LTE network service efficiency of the LTE cell, and if the influence of the cell flow of the LTE cell on the LTE network service efficiency of the LTE cell is larger, the flow efficiency score of the LTE cell is higher, and otherwise, the flow efficiency score of the LTE cell is lower.

Accordingly, when determining the service performance evaluation result of the specified LTE cell, the user performance score corresponding to the cell user number of the specified LTE cell may be queried based on the cell user number of the specified LTE cell and the third corresponding relationship, the traffic performance score corresponding to the cell traffic of the specified LTE cell may be queried based on the cell traffic of the specified LTE cell and the fourth corresponding relationship, and the service performance evaluation result of the LTE cell may be determined further based on the user performance score and the traffic performance score of the LTE cell. Specifically, the weighted sum of the user performance score and the traffic performance score of the specified LTE cell may be used as the service performance evaluation result of the LTE cell.

In another possible implementation, in consideration of different network configuration information such as the system (for example, including the TDD system and the FDD system) of the LTE network covered by different LTE cells, the frequency band (for example, A, E, D, F, 1800, 900, and the like), and the bandwidth (for example, 5M, 20M, and the like), the data related to the service performance also has a certain difference. In this regard, in order to more accurately evaluate the service performance of the specified LTE cell, the third corresponding relationship and the fourth corresponding relationship may be set differently for different network configuration information. That is, the performance evaluation criteria may include a third correspondence between the cell user number and the user number performance score and a fourth correspondence between the cell traffic and the traffic performance score under different network configuration information.

Correspondingly, when determining the service performance evaluation result of the specified LTE cell, the network configuration information of the specified LTE cell may be first obtained, the user performance score corresponding to the cell user number of the specified LTE cell may be queried based on the cell user number of the specified LTE cell and the third corresponding relationship under the network configuration information of the specified LTE cell, the traffic performance score corresponding to the cell traffic of the specified LTE cell may be queried based on the cell traffic of the specified LTE cell and the fourth corresponding relationship under the network configuration information of the specified LTE cell, and the service performance evaluation result of the LTE cell may be determined based on the user performance score and the traffic performance score of the LTE cell. Specifically, the weighted sum of the user performance score and the traffic performance score of the specified LTE cell may be used as the service performance evaluation result of the LTE cell.

It should be noted that, in the above embodiments, the weight of the user performance score and the weight of the flow performance score may be set in a customized manner according to actual needs, for example, both the weight of the user performance score and the weight of the flow performance score may be set to 50%. In addition, a third corresponding relation between the cell user number and the user number efficiency score and a fourth corresponding relation between the cell flow and the flow efficiency score can also be set by self-definition according to actual needs of the local bureau. For example, table 3 shows an example of the above-described third correspondence, and table 4 shows an example of the above-described fourth correspondence.

TABLE 3

Number of cell users	User performance score
		Is equal to 0	0 point (min)
(0,70)	k₁△t
		Greater than or equal to 70	100 minutes

TABLE 4

Cell traffic	Flow efficiency score
		Is equal to 0	0 point (min)
(0,8G)	k₂△t
		Greater than or equal to 8G	100 minutes

It should be noted that, in some alternative embodiments, the performance evaluation criteria may also include a correspondence between the number of cell users, the cell traffic, and the service performance score. Correspondingly, when determining the service performance evaluation result of the specified LTE cell, the service performance score of the specified LTE cell may be determined based on the cell user number, the cell traffic, and the correspondence, and the determined service performance score is used as the service performance evaluation result of the specified LTE cell.

Of course, in addition, in consideration of different network configuration information such as the system (for example, including the TDD system and the FDD system) of the LTE network covered by different LTE cells, the frequency band (for example, A, E, D, F, 1800, 900, and the like), and the bandwidth (for example, 5M, 20M, and the like), the data related to the service performance also has a certain difference. In this regard, in order to more accurately evaluate the service performance of the specified LTE cell, different corresponding relationships may be set for different network configuration information. That is, the performance evaluation criteria may include a correspondence between the number of cell users, the cell traffic, and the service performance score under different network configuration information.

Correspondingly, when determining the service performance evaluation result of the specified LTE cell, the network configuration information of the specified LTE cell may be obtained, the service performance score of the specified LTE cell is determined based on the cell user number of the specified LTE cell, the cell traffic, and the correspondence under the network configuration information of the specified LTE cell, and the determined service performance score is used as the service performance evaluation result of the specified LTE cell.

It can be understood that by respectively evaluating the cell user number and the cell flow of the LTE cell, the service performance evaluation result of the LTE cell is comprehensively determined based on the obtained user number performance score and the obtained flow performance score, so that the obtained service performance evaluation result can accurately and comprehensively reflect the service performance condition of the LTE cell.

S108, determining whether the designated LTE cell is a problem cell or not based on the user perception evaluation result and the service efficiency evaluation result of the designated LTE cell.

Because the user perception evaluation result of the specified LTE cell can reflect the user perception condition of the network of the specified LTE cell, the higher the score indicated by the user perception evaluation result is, the better the experience perception of the user of the specified LTE cell to the network of the LTE cell is; similarly, since the service performance evaluation result of the specified LTE cell may reflect the service performance of the LTE network of the LTE cell, a higher score indicated by the service performance evaluation result indicates a better service performance of the LTE network of the specified LTE cell. Based on the above, a first preset value for identifying the user perception problem and a second preset value for identifying the service performance problem can be set respectively, whether the designated LTE cell has the problem in the aspect of user perception is judged by comparing the user perception evaluation result with the first preset value, and whether the designated LTE cell has the problem in the aspect of service performance is judged by comparing the service performance evaluation result with the second preset value. The first preset value and the second preset value can be set in a user-defined manner according to practical applications, for example, both the first preset value and the second preset value can be set to be 50.

Specifically, as shown in fig. 3, if the user perception evaluation result of the specified LTE cell is smaller than a first preset value, it may be determined that the specified LTE cell has a problem in user perception; if the service efficiency evaluation result of the designated LTE cell is smaller than a second preset value, the problem of service efficiency of the designated LTE cell can be judged; if the user perception evaluation result of the designated LTE cell is greater than or equal to the first preset value and the service performance evaluation result is greater than or equal to the second preset value, it can be determined that both the user perception and the service performance of the designated LTE cell are good. Further, the designated LTE cell is determined to be a problem cell under the condition that a user perception evaluation result of the designated LTE cell is smaller than a first preset value and/or a service efficiency evaluation result of the designated LTE cell is smaller than a second preset threshold value.

S110, under the condition that the designated LTE cell is the problem cell, carrying out network problem positioning on the designated LTE cell based on the service efficiency related data of the designated LTE cell.

In the case that the designated LTE cell is determined to be the problem cell in step S108, in order to adopt an accurate and effective optimization strategy for the designated LTE cell to improve the service performance of the designated LTE cell, the specific problem of the designated LTE cell is located based on the service performance related data of the designated LTE cell.

In an alternative embodiment, as shown in fig. 2, the step S110 may include:

s111, determining a flow coefficient of the designated LTE cell based on the cell flow of the designated LTE cell and the average single carrier flow of the area where the designated LTE cell is located.

Specifically, a ratio between the cell traffic of the specified LTE cell and the average single carrier traffic of the area where the specified LTE cell is located may be determined as the traffic coefficient of the specified LTE cell.

Further, considering that network configuration information such as the system (for example, including a Time Division Duplex (TDD) system and a Frequency Division Duplex (FDD) system), the frequency band (for example, including A, E, D, F, 1800, 900, etc.) and the bandwidth (for example, including 5M, 20M, etc.) of the LTE network covered by different LTE cells are different, there is also a certain difference in cell traffic. In this regard, in order to more accurately evaluate the traffic coefficient of the specified LTE cell, the average single carrier traffic of the area where the specified LTE cell is located may be an average value of single carrier traffic of a plurality of LTE cells that cover the LTE network with the same network configuration information as the specified LTE cell and belong to the same area (e.g., in the same city, the same jurisdiction, etc.) as the specified LTE cell.

And S112, determining a target optimization strategy set aiming at the specified LTE cell based on the corresponding relation between the flow coefficient of the specified LTE cell and each preset flow coefficient interval and optimization strategy set.

In practical application, the corresponding relation between the flow coefficient interval and the optimization strategy set can be set in a user-defined mode according to practical application or historical experience. Table 5 shows a correspondence between a flow coefficient interval and an optimization strategy set.

TABLE 5

The flow coefficient threshold value may be set in a customized manner according to the actual application, for example, the flow coefficient threshold value may be set to 3.

S113, optimizing the LTE network of the designated LTE cell based on the target optimization strategy set, and determining the network problems of the designated LTE cell based on the optimization processing results corresponding to the optimization strategies in the target optimization strategy set.

Specifically, after a target optimization strategy set is determined, one optimization strategy can be sequentially selected from the target optimization strategies to optimize the LTE network of the specified LTE cell, and if the optimization result indicates that the service performance of the specified LTE cell is improved, the problem existing in the LTE network can be located based on the optimization strategy; and if the optimization result indicates that the service performance of the specified LTE cell is not improved, repeating the steps.

For example, as shown in fig. 4, the correspondence between the traffic coefficients and the optimization policy sets shown in table 5 indicates that, after the traffic coefficient of the specified LTE cell is calculated, if the traffic coefficient of the specified LTE cell is greater than a preset traffic coefficient, two optimization policies, i.e., intra-station or inter-station equalization and carrier automatic scheduling, are sequentially adopted; otherwise, further judging whether the flow coefficient of the specified LTE cell is 0, if so, adopting the optimization strategy of troubleshooting, and if not, sequentially adopting four optimization strategies of troubleshooting, parameter balancing, antenna feeder adjustment and idle removal and busy compensation. Then, for each optimization strategy, if the optimization result corresponding to the optimization strategy indicates that the service performance of the specified LTE cell is improved, the problem existing in the network of the LTE cell can be located based on the optimization strategy; if the optimization results of all the optimization strategies indicate that the service performance of the specified LTE cell is not improved, performing soft expansion on the specified LTE cell, if the service performance of the specified LTE cell is improved after the soft expansion, ending the process, otherwise, further performing hard expansion on the specified LTE cell. If the service performance of the designated LTE cell is improved after the hard capacity expansion, ending the process; otherwise, the specified LTE cell can be optimized by adopting a 3D-MIMO technology. And if the service performance of the designated LTE cell is not improved after the 3D-MIMO technology is adopted, newly establishing a site for the designated LTE cell, and repeating the steps until the service performance of the designated LTE cell is improved.

It can be understood that the network of the LTE cell is optimized by selecting a corresponding optimization strategy through the traffic coefficient of the LTE cell, and the network problem is located for the LTE cell based on the optimization result, so that the effect of optimizing the network of the LTE cell while knowing the network problem can be achieved, and the service efficiency of the network of the LTE cell is further improved.

By the method for positioning the LTE network problem provided by this embodiment, a user perception evaluation result capable of reflecting the user perception condition of the LTE cell is determined by the user perception data and the perception evaluation standard of the LTE cell, a service performance evaluation result capable of reflecting the service performance condition of the LTE cell is determined by the service performance related data and the performance evaluation standard of the LTE cell, and the problems in the aspects of user perception and service performance of the LTE cell can be accurately reflected by integrating the user perception evaluation combination and the service performance evaluation result of the LTE cell, and then, for the LTE cell with problems, the network problem positioning is performed on the LTE cell based on the service performance related data of the LTE cell, so that compared with the prior art in which a uniform capacity class KPI index threshold is used to position the LTE network problem, the root cause of the problem occurring in the LTE cell can be quickly and accurately positioned, and on the one hand, manpower can be reduced, and material resources are reduced, the effects of reducing cost and improving efficiency are achieved, and on the other hand, the positioned root cause can be prevented in a targeted manner, so that the complaint of network users is reduced, and the satisfaction of the users is improved.

Example 2

Referring to fig. 5, an embodiment of the present application further provides another LTE network problem positioning method, and the embodiment is further improved on the basis of embodiment 1, where the specific improvement is as follows: and determining a service efficiency evaluation result of the specified LTE cell, and determining an efficiency evaluation standard for evaluating the service efficiency. The LTE network problem positioning method in this embodiment is shown in fig. 5. Specifically, in this embodiment, the method includes steps S502 to S514, where step S502 is substantially the same as step S102 in embodiment 1, step S504 is substantially the same as step S104 in embodiment 1, step S510 is substantially the same as step S106 in embodiment 1, step S512 is substantially the same as step S108 in embodiment 1, and step S514 is substantially the same as step S110 in embodiment 1, and thus, the description thereof is omitted. The following mainly introduces differences, and details of the technique that are not described in detail in this embodiment may refer to the LTE network problem positioning method provided in embodiment 1, which is not described herein again.

S502, obtaining user perception data and service efficiency related data of a designated Long Term Evolution (LTE) cell.

S504, determining a user perception evaluation result of the designated LTE cell based on the user perception data and the perception evaluation standard of the designated LTE cell.

S506, acquiring a sample LTE cell set corresponding to various network configuration information.

In an optional implementation manner, for each type of network configuration information, a plurality of LTE cells of an LTE network covered with the type of network configuration information may be used as sample LTE cells corresponding to the type of network configuration information, so as to obtain a sample LTE cell set corresponding to the type of network configuration information.

In another alternative embodiment, in order to avoid a large number of radio channel quality problems causing a deviation of the performance evaluation result, an LTE cell with a better radio channel quality may be selected as a sample LTE cell. Among the parameters of the LTE network, the CQI (Channel Quality Indication) is the Downlink Channel Quality fed back from the UE user to the eNodeB (Evolved Node B), and the eNodeB determines the MCS (Modulation and Coding Scheme) of the PDSCH (Physical Downlink Shared Channel) Channel according to the reported CQI. Different MCSs correspond to different coding schemes, and the PDSCH of LTE supports three modulation schemes: QPSK (Quadrature Phase Shift Keying), 16QAM (Quadrature Amplitude Modulation), and 64QAM, where different CQIs employ different Modulation schemes. Therefore, the CQI data reported by the UE user determines the downlink coding efficiency of the UE user, and under the same condition, the higher the downlink coding efficiency, the higher the download rate, so that the CQI data reported by the UE user reflects the LTE network coverage quality of the wireless signal and the downlink channel coding efficiency, and the uplink BLER reflects the uplink wireless interface signal transmission quality. Based on the method, the LTE cell with good wireless channel quality can be screened according to the CQI data and the uplink BLER.

Specifically, for each network configuration information, CQI data and uplink BLER (Block Error Rate) of a plurality of cells of the LTE network covered with the network configuration information are obtained, and then a cell in which CQI exceeds a CQI threshold and uplink BLER is less than an Error Rate threshold is selected from the plurality of cells as a sample LTE cell, so as to obtain a sample LTE cell set corresponding to the network configuration information.

It should be noted that both the CQI threshold and the error rate threshold can be set according to the practical application, for example, the CQI threshold can be set to 7, and the error rate threshold can be set to 10%.

And S508, determining an efficiency evaluation standard based on the user perception data and the service efficiency related data of each LTE cell sample corresponding to each network configuration information.

Optionally, the performance evaluation criteria include a third correspondence between the cell user number and the user performance score and a fourth correspondence between the cell traffic and the traffic performance score under different network configuration information. Correspondingly, when determining the performance evaluation standard, for each type of network configuration information, a first correlation relationship curve between the cell user number and the TCP handshake delay may be determined based on the cell user number and the TCP handshake delay of each LTE sample cell corresponding to the network configuration information, the third correlation relationship under the network configuration information may be determined based on the first correlation relationship curve, and a second correlation relationship curve between the cell user number and the cell traffic may be determined based on the cell user number and the cell traffic of each LTE sample cell corresponding to the network configuration information, and the fourth correlation relationship under the network configuration information may be determined based on the second correlation relationship curve.

In specific implementation, for each type of network configuration information, a first correlation curve between the cell user number and the TCP handshake delay under the network configuration information can be obtained by counting and analyzing the cell user number and the TCP handshake delay of each sample LTE cell corresponding to the network configuration information. Then, the correlation between the cell user number and the TCP handshake delay and the cell user number corresponding to the TCP handshake delay affecting user perception can be determined by analyzing the first correlation curve, and the third correlation under the network configuration information is determined based on the determined correlation and the user number threshold.

Similarly, for each type of network configuration information, a second correlation curve between the cell user number and the cell traffic under the network configuration information can be obtained by performing statistics and analysis on the cell user number and the cell traffic of each sample LTE cell corresponding to the network configuration information. Then, the second correlation curve is analyzed, a correlation between the number of cell users and the cell traffic corresponding to the user number threshold may be determined as a traffic threshold, and the fourth correlation under the network configuration information is further determined based on the determined correlation and the traffic threshold.

For example, taking network configuration information with a standard of TDD and a bandwidth of 20M as an example, statistical analysis is performed on the number of cell users of each LTE cell sample corresponding to the network configuration information and TCP handshake delay, so as to obtain that the TCP handshake delay gradually increases with the increase of the number of cell users, when the number of cell users increases to 70, the TCP handshake delay reaches more than 200ms, which affects user perception at this time, and then it can be determined that the user number threshold is 200ms, and further the third correspondence relationship can be set as: when the number of cell users of the LTE cell is more than 70, the user efficiency score of the LTE cell is 100; when the number of cell users of an LTE cell is 0, the number of user users of the LTE cell is 0; when the number of cell users of an LTE cell is between 0 and 70, the number of user performance scores of the LTE cell and the number of cell users are in a linear relationship, i.e., the smaller the number of cell users, the lower the number of user performance scores.

Similarly, the cell user number and the cell flow of each sample LTE cell corresponding to the network configuration information are obtained through statistical analysis, the cell flow of the LTE cell increases with the increase of the cell user number, when the cell user number reaches 70, the cell flow reaches about 8G, and then the cell flow does not increase with the increase of the cell user number, but a descending trend occurs, and then it can be determined that the flow threshold is 8G, and further, the fourth correspondence relationship can be set as follows: when the cell flow of the LTE cell is greater than 8G, the flow efficiency score of the LTE cell is 100 points; when the cell flow of the LTE cell is equal to 0, the flow efficiency score of the LTE cell is 0; when the cell traffic of the LTE cell is between 0 and 8G, the traffic performance score of the LTE cell and the cell traffic are in a linear relationship, i.e., the smaller the cell traffic, the lower the traffic performance score.

S510, determining a service efficiency evaluation result of the designated LTE cell based on the service efficiency related data and the efficiency evaluation standard of the designated LTE cell.

S512, determining whether the designated LTE cell is a problem cell or not based on the user perception evaluation result and the service efficiency evaluation result of the designated LTE cell.

And S514, under the condition that the designated LTE cell is the problem cell, performing network problem positioning on the designated LTE cell based on the service efficiency related data of the designated LTE cell.

By the LTE network problem positioning method provided by this embodiment, the efficiency evaluation standard is determined based on the user perception data and the service efficiency related data of the sample LTE cell corresponding to different network configuration information, and the differences between the user perception data and the service efficiency related data of the LTE cell of different network configuration information and the influence of the service efficiency related data on user perception are considered, so that the service efficiencies of different LTE cells can be more accurately evaluated based on the determined efficiency evaluation standard, and the accuracy of the network problem positioning result of the LTE cell is further improved.

The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.

Example 3

Fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application. Referring to fig. 6, at a hardware level, the electronic device includes a processor, and optionally further includes an internal bus, a network interface, and a memory. The Memory may include a Memory, such as a Random-Access Memory (RAM), and may further include a non-volatile Memory, such as at least 1 disk Memory. Of course, the electronic device may also include hardware required for other services.

The processor, the network interface, and the memory may be connected to each other via an internal bus, which may be an ISA (Industry Standard Architecture) bus, a PCI (Peripheral Component Interconnect) bus, an EISA (Extended Industry Standard Architecture) bus, or the like. The bus may be divided into an address bus, a data bus, a control bus, etc. For ease of illustration, only one double-headed arrow is shown in FIG. 6, but that does not indicate only one bus or one type of bus.

And the memory is used for storing programs. In particular, the program may include program code comprising computer operating instructions. The memory may include both memory and non-volatile storage and provides instructions and data to the processor.

And the processor reads the corresponding computer program from the nonvolatile memory into the memory and runs the computer program to form the LTE network problem positioning device on a logic level. The processor is used for executing the program stored in the memory and is specifically used for executing the following operations:

The method performed by the LTE network problem location apparatus according to the embodiment shown in fig. 1 of the present application may be applied to or implemented by a processor. The processor may be an integrated circuit chip having signal processing capabilities. In implementation, the steps of the above method may be performed by integrated logic circuits of hardware in a processor or instructions in the form of software. The Processor may be a general-purpose Processor, including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but also Digital Signal Processors (DSPs), Application Specific Integrated Circuits (ASICs), Field Programmable Gate Arrays (FPGAs) or other Programmable logic devices, discrete Gate or transistor logic devices, discrete hardware components. The various methods, steps, and logic blocks disclosed in the embodiments of the present application may be implemented or performed. 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 connection with the embodiments of the present application may be directly implemented by a hardware decoding processor, or implemented by a combination of hardware and software modules in the decoding processor. The software module may be located in ram, flash memory, rom, prom, or eprom, registers, etc. storage media as is well known in the art. The storage medium is located in a memory, and a processor reads information in the memory and completes the steps of the method in combination with hardware of the processor.

The electronic device may also execute the method in fig. 1 and implement the functions of the LTE network problem positioning apparatus in the embodiments shown in fig. 1 to fig. 5, which are not described herein again in this embodiment of the present application.

Of course, besides the software implementation, the electronic device of the present application does not exclude other implementations, such as a logic device or a combination of software and hardware, and the like, that is, the execution subject of the following processing flow is not limited to each logic unit, and may also be hardware or a logic device.

Embodiments of the present application also provide a computer-readable storage medium storing one or more programs, where the one or more programs include instructions, which when executed by a portable electronic device including a plurality of application programs, enable the portable electronic device to perform the method of the embodiment shown in fig. 1, and are specifically configured to:

Example 4

Fig. 7 is a schematic structural diagram of an LTE network problem location device according to an embodiment of the present application. Referring to fig. 7, in a software implementation, an LTE network problem location apparatus 700 may include:

a first obtaining module 710, configured to obtain user sensing data and service performance related data of a specified long term evolution LTE cell, where the sensing data includes TCP (transmission control protocol) handshake delay and downlink average rate, and the service performance related data includes cell traffic and the number of cell users;

a first evaluation module 720, configured to determine a user perception evaluation result of the specified LTE cell based on the user perception data and a perception evaluation criterion;

a second evaluation module 730, configured to determine a service performance evaluation result of the specified LTE cell based on the service performance related data and a performance evaluation criterion;

an identifying module 740, configured to determine whether the designated LTE cell is a problem cell based on a user perception evaluation result and a service performance evaluation result of the designated LTE cell;

and the problem positioning module 750 is configured to perform network problem positioning on the specified LTE cell based on the service performance related data of the specified LTE cell when the specified LTE cell is a problem cell.

Optionally, the identifying module 740 is specifically configured to:

Optionally, the problem location module 750 is specifically configured to:

the first evaluation module 720 is specifically configured to:

acquiring network configuration information of the designated LTE cell;

Optionally, the apparatus 700 further comprises:

the second acquisition module is used for acquiring a sample LTE cell set corresponding to various network configuration information;

the first determining module is configured to determine the performance evaluation criterion based on user perception data and service performance related data of each sample LTE cell corresponding to each type of network configuration information.

the first determining module is specifically configured to:

Optionally, the second evaluation module 730 is specifically configured to:

acquiring network configuration information of the designated LTE cell;

Optionally, the first obtaining module 710 is specifically configured to:

In short, the above description is only a preferred embodiment of the present application, and is not intended to limit the scope of the present application. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.

The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.

Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.

It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.

The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.

Claims

1. An LTE network problem positioning method is characterized by comprising the following steps:

2. The method of claim 1, wherein determining whether the designated LTE cell is a problem cell based on the user perception evaluation result and the service performance evaluation result of the designated LTE cell comprises:

3. The method of claim 1, wherein in a case that the designated LTE cell is a problem cell, performing network problem location on the designated LTE cell based on the service performance related data of the designated LTE cell comprises:

4. The method according to claim 1, wherein the perceptual evaluation criteria comprise a first correspondence between TCP handshake delay and delay score and a second correspondence between downlink average rate and rate score under different network configuration information;

acquiring network configuration information of the designated LTE cell;

5. The method of claim 1, wherein before determining the service performance evaluation result of the specified LTE cell based on the service performance related data and the performance evaluation criteria, the method further comprises:

6. The method of claim 5, wherein the performance evaluation criteria comprises a third correspondence between cell user numbers and user performance scores and a fourth correspondence between cell traffic and traffic performance scores for different network configuration information;

7. The method of claim 6, wherein determining the service performance evaluation result of the designated LTE cell based on the service performance related data and the performance evaluation criteria comprises:

acquiring network configuration information of the designated LTE cell;

8. The method of claim 5, wherein obtaining the sample LTE cell set corresponding to various network configuration information comprises:

9. An LTE network positioning apparatus, comprising:

10. An electronic device, comprising:

a processor;

a memory for storing the processor-executable instructions;

wherein the processor is configured to execute the instructions to implement the method of any one of claims 1 to 8.