WO2015062109A1

WO2015062109A1 - Method and device for evaluating network key performance indicator

Info

Publication number: WO2015062109A1
Application number: PCT/CN2013/086511
Authority: WO
Inventors: 黄希珠; 舒文杰; 孙晓光
Original assignee: 华为技术有限公司
Priority date: 2013-11-04
Filing date: 2013-11-04
Publication date: 2015-05-07
Also published as: CN103797755A; CN103797755B

Abstract

Provided are a method and device for evaluating a network key performance indicator. The method comprises: acquiring a multidimensional evaluation indicator parameter for evaluating a network; acquiring a target network KPI evaluation graph matching with the multidimensional evaluation indicator parameter for evaluating a network from a preset network KPI evaluation graph generated according to source data of a network which has been implemented; and acquiring a network KPI evaluation result corresponding to the multidimensional evaluation indicator parameter for evaluating a network from a target KPI evaluation graph. By means of the embodiments of the present invention, a target KPI evaluation graph matching with a multidimensional evaluation indicator parameter for evaluating a network is acquired from a preset network KPI evaluation graph generated according to source data of a network which has been implemented, thereby increasing the degree of matching with an actual service of the existing network and increasing the accuracy of network KPI evaluation.

Description

Method and device for evaluating network key performance indicators

Technical field

The present invention relates to the field of wireless communication technologies, and in particular, to a method and an apparatus for evaluating network key performance indicators. Background technique

Before the implementation of the network engineering project, the network KPI (Key Performance Indicators) is pre-evaluated to quantitatively evaluate the performance indicators and gains of the network engineering project after implementation, so as to allocate resources reasonably. Common network KPI evaluation, get the KPI evaluation data of the existing network according to the empirical data of the network, and divide the KPI evaluation data into A/B/C network scenarios, and analyze the basic characteristics of the network engineering project to be evaluated (such as frequency reuse). The degree of tightness or station spacing corresponds to one of the A/B/C network scenarios. The A/B/C network scenarios are classified according to the frequency reuse degree: loose multiplexing, medium multiplexing, and tight multiplexing. The three types of network scenarios are divided into three types of network scenarios: station distance, station spacing, and station spacing according to the station spacing, and then the network KPI evaluation results. However, there are many factors affecting the network KPI in the current network, and the network KPI will be The evaluation data is divided into A/B/C network scenarios, and the classification is too rough, which reduces the accuracy of network KPI evaluation.

In the prior art, before the implementation of the network engineering project, static simulation is performed for the set application scenario, and the theoretical value of the static index such as the carrier-to-interference ratio or the signal noise is output, and then the theoretical value of the static index is the input value, and the network KPI is imported. In the dynamic simulation platform, the dynamic simulation index value is obtained, and the system performance evaluation of the network engineering project is performed according to the obtained dynamic simulation index value, thereby realizing the performance effect of the dynamic simulation evaluation while the static simulation evaluation is performed, but the network engineering project implementation It is necessary to obtain accurate engineering parameters, electronic maps and other information before, and before the implementation of the network engineering project, it is difficult to obtain the detailed engineering parameter information of the network engineering project when the KPI pre-evaluation of the bidding P section is performed on the network engineering project, and because The network KPI dynamic simulation platform is difficult to match with the real network engineering business model, such as traffic distribution and traffic migration in real network engineering services, resulting in large difference between dynamic simulation index values and real network performance, reducing the accuracy of network KPI evaluation. degree. Summary of the invention

Embodiments of the present invention provide a method and apparatus for evaluating network key performance indicators. The preset network KPI evaluation chart generated according to the source data of the implemented network is fitted, and then the target KPI evaluation chart matching the multi-dimensional evaluation index parameter of the evaluation network is obtained, thereby obtaining the network KPI evaluation result, and improving the present and the present The matching degree of the actual business model of the network improves the accuracy of the network KPI evaluation.

The first aspect of the embodiments of the present invention provides an apparatus for evaluating a network key performance indicator, including:

An evaluation parameter obtaining module, configured to obtain a multi-dimensional evaluation index parameter of the evaluation network;

An evaluation chart obtains a target KPI evaluation chart that matches a multi-dimensional evaluation indicator parameter of the evaluation network from a preset network key performance indicator KPI evaluation chart generated from source data of the implemented network;

The evaluation result is obtained by using the network KPI evaluation result corresponding to the multi-dimensional evaluation index parameter of the evaluation network from the target KPI evaluation chart.

In a first possible implementation manner of the first aspect, the device further includes:

And a source data obtaining module, configured to obtain, from the source data of the implemented network, a multi-dimensional evaluation index parameter of the implemented network and a network implementation result corresponding to the multi-dimensional evaluation indicator parameter of the implemented network;

The evaluation chart generating module is configured to generate the preset network KPI evaluation chart according to the acquired multi-dimensional evaluation index parameter of the implementation network and the corresponding network implementation result.

In a second possible implementation manner of the first aspect, the multi-dimensional evaluation indicator parameter of the evaluation network includes: a first parameter and/or a second parameter; the first parameter includes: a network interference feature parameter and a network coverage feature The second parameter includes: a network quality feature parameter and a network level feature parameter.

With reference to the second possible implementation manner of the first aspect, in a third possible implementation manner of the first aspect, the network quality feature parameter includes: a network quality feature parameter level distribution obtained by simulating the network quality feature parameter Data; the network level feature parameter includes: network level feature parameter level distribution data obtained by simulating the network level feature parameter.

In conjunction with the third possible implementation of the first aspect, a fourth possible implementation in the first aspect In the above, the evaluation chart is specifically used for:

Obtaining a target KPI evaluation chart that matches the network quality feature parameter level distribution data and the network level feature parameter level distribution data from a preset network KPI evaluation chart generated from source data of the implemented network;

The network quality feature parameter level distribution data includes: the network quality feature parameter: the level distribution data of the area and/or the network quality feature parameter is based on the user's level distribution data; the network level feature parameter level distribution data The method includes: the network level characteristic parameter “the level distribution data of the area” and/or the network level characteristic parameter is based on the user's level distribution data.

With reference to the second possible implementation manner of the first aspect, in a fifth possible implementation manner of the first aspect, the network interference feature parameter includes: the traffic density of the evaluation network and/or the spectrum of the evaluation network Load

The network coverage feature parameters include: a base station spacing parameter, a coverage terrain parameter, or coverage area feature information;

The network quality characteristic parameter includes: a carrier-to-interference ratio of the evaluation network;

The network level characteristic parameter includes: a level value of the evaluation network.

The second aspect of the embodiments of the present invention provides a method for evaluating a network key performance indicator, including: acquiring a multi-dimensional evaluation indicator parameter of the evaluation network;

Obtaining a target KPI evaluation chart that matches a multi-dimensional evaluation indicator parameter of the evaluation network from a preset network KPI evaluation chart generated from source data of the implemented network;

Obtaining a network KPI evaluation result corresponding to the multi-dimensional evaluation indicator parameter of the evaluation network from the target KPI evaluation chart.

In a first possible implementation manner of the second aspect, before the obtaining the multi-dimensional evaluation index parameter of the evaluation network, the method includes:

Obtaining, from the source data of the implemented network, a multi-dimensional evaluation indicator parameter of the implemented network and a network implementation result corresponding to the multi-dimensional evaluation indicator parameter of the implemented network;

And generating the preset network KPI evaluation chart according to the obtained multi-dimensional evaluation index parameter of the implementation network and the corresponding network implementation result.

In a second possible implementation manner of the second aspect, the multi-dimensional evaluation indicator of the evaluation network is The number includes: a first parameter and/or a second parameter; the first parameter includes: a network interference feature parameter and a network coverage feature parameter; and the second parameter includes: a network quality feature parameter and a network level feature parameter.

With reference to the second possible implementation manner of the second aspect, in a third possible implementation manner of the second aspect, the network quality feature parameter includes: a network quality feature parameter level distribution obtained by simulating the network quality feature parameter Data

The network level characteristic parameter includes: network level characteristic parameter level distribution data obtained by simulating the network level characteristic parameter.

In conjunction with the third possible implementation of the second aspect, the fourth possible implementation manner of the second aspect, the target KPI evaluation chart of the multi-dimensional evaluation indicator parameter matching of the evaluation network includes:

The level distribution data of the network quality feature parameter includes: the network quality feature parameter based on the level distribution data of the region and/or the network quality feature parameter based on the user's level distribution data; the network level feature parameter level distribution data The method includes: the network level characteristic parameter “the level distribution data of the area” and/or the network level characteristic parameter is based on the user's level distribution data.

With reference to the second possible implementation manner of the second aspect, in a fifth possible implementation manner of the second aspect, the network interference feature parameter includes: the traffic density of the evaluation network and/or the spectrum of the evaluation network Load

A third aspect of the embodiments of the present invention provides a server, including: an input device, an output device, a memory, and a processor, wherein the memory stores a set of program codes, and the processor is configured to call the program code stored in the memory, where Do the following: Obtaining multi-dimensional evaluation indicator parameters of the evaluation network;

By implementing the embodiment of the present invention, the multi-dimensional evaluation index parameter of the evaluation network may be obtained, and the target KPI evaluation matching the multi-dimensional evaluation index parameter of the evaluation network is obtained from the preset network KPI evaluation chart generated according to the source data of the implemented network. The chart, and then obtains the network KPI evaluation result corresponding to the multi-dimensional evaluation index parameter of the evaluation network from the target KPI evaluation chart, and the preset network KPI evaluation chart is a network KPI evaluation chart generated based on the source data of the implemented network, and improves the current and current The matching degree of the actual business model of the network, for example, the preset network KPI evaluation chart can reflect the difference of different devices and network optimization, so that the network KPI evaluation is closer to the existing network, and the multi-dimensional evaluation index parameters of the evaluation network are obtained. The results of the network KPI assessment have improved the accuracy of the network KPI assessment. DRAWINGS

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly described below. Obviously, the drawings in the following description are only some embodiments of the present invention. Other drawings may also be obtained from those of ordinary skill in the art based on these drawings without the inventive labor.

1 is a flow chart of a method for evaluating a network key performance indicator according to an embodiment of the present invention;

2 is a flow chart of another method for evaluating a network key performance indicator according to an embodiment of the present invention;

3 is a schematic diagram of a network KPI evaluation chart provided by an embodiment of the present invention;

4 is a schematic structural diagram of an apparatus for evaluating a network key performance indicator according to an embodiment of the present invention;

FIG. 5 is a schematic structural diagram of a server according to an embodiment of the present invention. detailed description

In order to make the technical problems, the technical solutions and the beneficial effects of the present invention more clearly understood, the present invention will be further described in detail below with reference to the accompanying drawings and embodiments.

An embodiment of the present invention provides a method and an apparatus for evaluating a network key performance indicator, including: acquiring a multi-dimensional evaluation indicator parameter of an evaluation network; and obtaining and calculating from a preset network KPI evaluation chart generated according to source data of an implemented network. The multi-dimensional evaluation index parameter of the evaluation network matches a target KPI evaluation chart; and the network KPI evaluation result corresponding to the multi-dimensional evaluation index parameter of the evaluation network is obtained from the target KPI evaluation chart. The evaluation device of the network key performance indicator may be a server, such as a network center control server, a database server, or the like.

The method and device for evaluating the network key performance indicators provided by the embodiments of the present invention can be applied to application scenarios such as network project KPI response commitment, risk analysis, network optimization analysis, etc., for example, quantitative evaluation of the gain of the network transformation scheme can be obtained. Provide decision-making basis, and can also be applied to network KPI evaluation under different vendors and different network architectures. The network performance index of the embodiment of the present invention corresponds to a variety of network standards, which can be used for network KPI evaluation under the GSM (Global System for Mobile Communications) network standard, and can also be promoted. For network KPI evaluation under WCDMA (Wideband Code Division Multiple Access) network standard, it can also be LTE (Long Term Evolution, long-term evolution of UMTS technology standard developed by 3GPP organization) Network KPI under network standard The evaluation is not specifically limited by the embodiment.

The evaluation network in the embodiment of the present invention may be a network in the application scenario that needs to be evaluated, or may be a network in different network standards, such as the foregoing network, or may be evaluated in other implementation forms. The network is not specifically limited by this embodiment. The implemented network in the embodiment of the present invention may be a network engineering or network project that has been implemented.

Through the embodiment of the present invention, the matching degree with the actual service model of the live network is improved. For example, the preset network KPI evaluation chart can reflect the difference between different devices and network optimization, so that the network KPI evaluation is closer to the existing network, and the network KPI evaluation can be obtained. Evaluate the network KPI evaluation results corresponding to the multi-dimensional evaluation index parameters of the network, and improve the accuracy of the network KPI evaluation. The following description will be made by way of specific examples. As shown in FIG. 1 , it is a flowchart of a method for evaluating a network key performance indicator provided by an embodiment of the present invention. The embodiment of the present invention may be implemented in a server. The process in this embodiment is as follows: S101~S103.

S101. Obtain a multi-dimensional evaluation indicator parameter of the evaluation network.

As an optional implementation manner, in this step, the multi-dimensional evaluation index parameter of the evaluation network is obtained, where the multi-dimensional evaluation index parameter of the evaluation network includes but is not limited to: the first parameter and/or the second parameter, where The first parameter includes: a network interference feature parameter and a network coverage feature parameter, and the second parameter includes: a network quality feature parameter and a network level feature parameter. Specifically, the first parameter does not need to be statically simulated, and the second parameter can be statically simulated.

Specifically, the network interference characteristic parameters include, but are not limited to: evaluating the traffic density of the network and/or evaluating the spectrum load of the network, for example, in the GSM network, evaluating the traffic density of the network as the traffic volume per unit frequency band, and evaluating The spectrum load of the network is shown by EFL, EFL = equivalent traffic / (total frequency points * number of traffic channels provided per carrier frequency), the larger the EFL value, the more serious the network interference. Further optionally, the network interference feature parameter may further include a hierarchical distribution of network interference features, such as a user-based or area-based hierarchical distribution.

The network coverage feature parameters include, but are not limited to, base station spacing parameters, coverage terrain parameters or coverage area feature information, coverage area feature information such as network coverage area informationization development level, and coverage area human characteristics. Further optionally, the network coverage feature parameter may further include a hierarchical distribution of network coverage features, such as user-based or area-based hierarchical distribution.

Network quality feature parameters include but are not limited to: Evaluating the carrier-to-interference ratio of the network, such as 2G networks

C/I (Carrier/Interference, carrier power/interference total power, total interference power including thermal noise, excluding useful signal power, C/I is the carrier-to-interference ratio, also called interference protection ratio, refers to the received useful signal level The ratio of all non-useful signal levels), Ec/Io (Energy per Chip/the total Interference density) of the 3G network.

The network level characteristic parameters include: Evaluating the level value of the network. The level value of the network is evaluated, for example, Rxlev of the 2G network, and Rxlev is the value of the received signal level. Rscp of the 3G network, Rscp refers to the received signal level value on the PCCPCH (Primary Common Control Physical Channel). As an optional implementation manner, the network quality feature parameter may include: network quality feature parameter level distribution data obtained by simulating the network quality feature parameter. Specifically, the network quality feature parameter level distribution data may include: the network quality feature parameter is based on the level distribution data of the area and/or the network quality feature parameter is based on the user's level distribution data. For example, the simulation obtains the C/I level distribution data, simulates the Rxlev level distribution data, simulates the C/I user number distribution data or simulates the Rxlev user number distribution data.

In other embodiments, the network quality feature parameter level distribution data is implemented in various manners, and may be a network quality feature participating in the regional level distribution data, or may be a network quality feature parameter based on the user's level distribution data. It may be other implementation forms, and is not specifically limited by this embodiment.

As an optional implementation manner, the network level feature parameter may include: network level feature parameter level distribution data obtained by simulating the network level feature parameter. Specifically, the network level feature parameter level distribution data includes: the network level feature parameter is based on the level distribution data of the area and/or the network level feature parameter is based on the user's level distribution data. In other embodiments, the network quality feature parameter level distribution data is implemented in a variety of manners, and may be a network quality feature that participates in a region's hierarchical distribution data, or may be a network quality feature parameter based on a user's hierarchical distribution data. Other implementation forms are also possible, and are not specifically limited by the embodiment.

S102. Obtain a target KPI evaluation chart that matches a multi-dimensional evaluation indicator parameter of the evaluation network from a preset network KPI evaluation chart generated according to the source data of the implemented network.

As an optional implementation manner, the preset network KPI evaluation chart is a network KPI evaluation chart generated according to the multi-dimensional evaluation index parameter of the implemented network obtained from the source data of the implemented network and the corresponding network implementation result. . In this step, a target KPI evaluation chart matching the multi-dimensional evaluation index parameter of the evaluation network is obtained from the preset network KPI evaluation chart, and the preset network KPI evaluation chart includes multiple sub-evaluation charts, for example, corresponding to different network devices. A sub-evaluation graph, a sub-evaluation graph corresponding to the multi-dimensional evaluation index parameters of each implemented network, and the like, and a target KPI evaluation chart matching the multi-dimensional evaluation index parameters of the evaluation network are found from the plurality of sub-evaluation graphs. The target KPI evaluation chart may be at least one sub-evaluation chart, and the evaluation index parameter of the evaluation network is multi-dimensional. If the preset network KPI evaluation chart, the evaluation index parameter of each implemented network corresponds to one The sub-evaluation chart, the target KPI evaluation chart matching the multi-dimensional evaluation index parameter of the evaluation network may correspond to a plurality of sub-evaluation charts, and if the preset network KPI evaluation chart, each of the implemented evaluation indicators of the network corresponds to one sub-instrument The evaluation chart, the target KPI evaluation chart matching the multi-dimensional evaluation indicator parameters of the evaluation network may correspond to one sub-evaluation chart or multiple sub-evaluation charts.

As an optional implementation manner, each sub-evaluation graph corresponds to a graph index, which is used to identify the sub-chart and is convenient for searching. The graph index of the sub-evaluation graph and the corresponding link address may be stored in a total index table. First, find a chart index of the sub-evaluation chart matching the multi-dimensional evaluation index parameter of the evaluation network in the total index table, and then obtain the multi-dimensional evaluation index parameter matching the evaluation network according to the address link corresponding to the chart index of the sub-chart. Target KPI evaluation chart.

S103. Obtain a network KPI evaluation result corresponding to the multi-dimensional evaluation indicator parameter of the evaluation network from the target KPI evaluation chart.

As an optional implementation, the network KPI evaluation results corresponding to the multi-dimensional evaluation indicator parameters of the evaluation network are obtained from the target KPI evaluation chart. Further optionally, a target evaluation chart corresponding to the evaluation indicator parameter of each evaluation network may be obtained, for example, a target evaluation chart corresponding to the frequency reuse, a target evaluation chart corresponding to the traffic volume, etc., and the plurality of targets are evaluated. The chart, according to each target evaluation chart corresponding evaluation index parameter weighting influence on the network KPI evaluation result, weighting the network KPI evaluation result of the plurality of target evaluation chart to obtain the network KPI evaluation corresponding to the multi-dimensional evaluation index parameter of the evaluation network result.

As an optional implementation manner, if the multi-dimensional evaluation indicator parameter of the evaluation network in S101 includes the first parameter, the first parameter includes: a network interference feature parameter and a network coverage feature parameter, and the network interference feature parameter is, for example, an EFL. A factor Frload, S 102 obtains a target KPI evaluation chart respectively matching the network interference feature parameter and the network coverage feature parameter from a preset network KPI evaluation chart generated according to the source data of the implemented network. FIG. 3 is a schematic diagram of a network KPI evaluation chart provided by an embodiment of the present invention, and FIG. 3( a ) is a network KPI evaluation diagram corresponding to a factor Frload in the network interference characteristic parameter EFL, and the horizontal axis is network interference. A factor Frload parameter in the characteristic parameter EFL, the vertical axis is the corresponding network KPI evaluation value, and Figure 3 (a) is the obtained target KPI evaluation chart matching the network interference characteristic parameter, which can be obtained from Figure 3 (a) Obtain the network KPI evaluation result corresponding to the network interference feature. As an optional implementation manner, if the multi-dimensional evaluation index parameter network quality feature parameter and the network level feature parameter of the evaluation network are acquired in S101. The network quality characteristic parameter may include: network quality feature parameter level distribution data obtained by simulating the network quality feature parameter, network quality feature parameter level distribution data such as C/I level area distribution data, and S102 from the implemented network A target KPI evaluation chart matching the network quality feature parameter level distribution data is acquired in the preset network KPI evaluation chart generated by the source data. As shown in Figure 3, Figure 3 (b) is the network KPI evaluation table corresponding to the C/I level distribution, and Figure 3 (b) is the obtained target KPI evaluation chart matching the network quality characteristic parameter level distribution data. Then, the network KPI evaluation result corresponding to the network quality characteristic parameter level distribution data can be obtained from FIG. 3(b).

As an optional implementation manner, the multi-dimensional evaluation index parameter of the evaluation network, including the first parameter and the second parameter, may be obtained in S101, and the accuracy of the corresponding network KPI evaluation result is higher.

In the above technical solution, a method for evaluating a network key performance indicator is provided, and a multi-dimensional evaluation index parameter of the evaluation network is obtained, and the network is obtained and evaluated from a preset network KPI evaluation chart generated according to the source data of the implemented network. The multi-dimensional evaluation indicator parameter matches the target KPI evaluation chart, and then obtains the network KPI evaluation result corresponding to the multi-dimensional evaluation index parameter of the evaluation network from the target KPI evaluation chart, and the preset network KPI evaluation chart is based on the source of the implemented network. The data generation network KPI evaluation chart improves the matching degree with the actual business model of the live network. For example, the preset network KPI evaluation chart can reflect the difference between different devices and network optimization, so that the network KPI evaluation is closer to the existing network and can be obtained. The network KPI evaluation results corresponding to the multi-dimensional evaluation index parameters of the evaluation network improve the accuracy of the network KPI evaluation. Optionally, as shown in FIG. 2, it is a flowchart of another method for evaluating a network key performance indicator provided by an embodiment of the present invention. The embodiment of the present invention may be implemented in a server. As shown in the figure, the flow in the embodiment of the present invention includes S201~S206.

S201. Acquire, from the source data of the implemented network, a multi-dimensional evaluation indicator parameter of the implemented network and a network implementation result corresponding to the multi-dimensional evaluation indicator parameter of the implemented network.

As an optional implementation manner, the source data of the implemented network is pre-acquired from the implemented network. The multi-dimensional evaluation index parameters of the implemented network and the corresponding network implementation results are obtained in the source data, and the multi-dimensional evaluation index parameters of the implemented network include but are not limited to the network interference characteristic parameters of the implemented network, and the network coverage of the implemented network The characteristic parameters, the network quality characteristic parameters of the implemented network, the hierarchical distribution data of the network quality characteristic parameters of the implemented network, or the user characteristic parameters of the implemented network. The network quality feature parameter of the implemented network may be a parameter that is periodically reported to the system when the user is in the process of performing network communication.

S202: Generate a preset network KPI evaluation chart according to the obtained multi-dimensional evaluation index parameter of the implemented network and the corresponding network implementation result.

As an optional implementation manner, a preset network KPI evaluation chart is generated according to the obtained multi-dimensional evaluation index parameter of the implemented network and the corresponding network implementation result, and the preset network KPI evaluation chart may be used for each The evaluation indicator parameter of the implementation network corresponds to a sub-evaluation chart, and may also correspond to a sub-evaluation chart for each of the implemented evaluation parameters of the implemented network. The preset network KPI evaluation chart may be a graph, a bar graph, a pie chart, Histograms, tables, etc. can be used to visually represent the chart structure that evaluates the relationship between indicator parameters and network KPI evaluation results.

As an optional implementation manner, a preset network KPI evaluation chart is shown in FIG. 3, FIG.

(a) A network KPI evaluation map corresponding to a factor of the network interference characteristic parameter EFL Frload, which is a graph, and Fig. 3 (b) is a network KPI evaluation table corresponding to the area distribution of C/I grades, which is a table.

5203. Acquire multi-dimensional evaluation index parameters of the evaluation network, and evaluate multi-dimensional evaluation index parameters of the network, including: network quality characteristic parameters and network level characteristic parameters.

As an optional implementation manner, the multi-dimensional evaluation index parameters of the evaluation network are obtained, and the multi-dimensional evaluation index parameters of the evaluation network include: network quality feature parameters and user feature parameters, and network quality feature parameters include but are not limited to: evaluation network The carrier-to-interference ratio, such as C/I for 2G networks, Ec/No for 3G networks. The network level characteristic parameters may include an evaluation of the level value of the network, such as Rxlev of a 2G network, Rscp of a 3G network.

S204: Perform simulation according to the network quality characteristic parameter and the network level characteristic parameter of the evaluation network, and obtain network quality characteristic parameter level distribution data and network level characteristic parameter level distribution data.

As an optional implementation manner, the network quality characteristic parameter network level characteristic parameter of the evaluation network is simulated, and the network quality characteristic parameter level distribution data and the network level characteristic parameter are obtained. Grade distribution data. Specifically, the network quality feature parameter level distribution data may include: the network quality feature parameter is based on the level distribution data of the area and/or the network quality feature parameter is based on the user's level distribution data. For example, the simulation obtains the C/I level distribution data, simulates the Rxlev level distribution data, simulates the C/I user number distribution data or simulates the Rxlev user number distribution data. The network level feature parameter level distribution data includes: the network level feature parameter is based on the level distribution data of the region and/or the network level feature parameter is based on the user's level distribution data.

5205. Obtain a target KPI evaluation chart that matches the network quality feature parameter level distribution data and the network level feature parameter level distribution data from the preset network KPI evaluation chart.

As an optional implementation manner, a target KPI evaluation chart matching the level distribution data of the network quality feature parameter and the network level feature parameter level distribution data is obtained from a preset network KPI evaluation chart. Further optionally, the target KPI evaluation chart may include at least one sub-evaluation chart, each sub-evaluation chart corresponding to a chart index, used to identify the sub-evaluation chart and easy to find, the chart index of all sub-evaluation charts and the corresponding link address may be Stored in a total index table, the index index of the sub-evaluation chart matching the multi-dimensional evaluation index parameter of the evaluation network is first found in the total index table, and then the address link corresponding to the chart index of the sub-chart is obtained. Evaluate the network's multi-dimensional evaluation metrics to match the target KPI assessment chart.

5206. Obtain a network KPI evaluation result corresponding to the multi-dimensional evaluation indicator parameter of the evaluation network from the target KPI evaluation chart.

In the above technical solution, an evaluation method for network key performance indicators is provided, and multi-dimensional evaluation index parameters of the implemented network and the implemented network are obtained from the source data of the implemented network. The dimension evaluates the network implementation result corresponding to the indicator parameter, and generates a preset network KPI evaluation chart, obtains the network quality characteristic parameter and the network level characteristic parameter of the evaluation network, and performs simulation to obtain the network quality characteristic parameter level distribution data and the network level. Feature parameter level distribution data, from a preset network

Obtain a target KPI evaluation chart matching the network quality characteristic parameter level distribution data and the network level characteristic parameter level distribution data in the KPI evaluation chart, and obtain a corresponding network KPI evaluation result from the target KPI evaluation chart, and preset network KPI evaluation The chart is to generate a network KPI evaluation chart based on the source data of the implemented network, and improve the matching degree with the actual business model of the existing network. For example, the preset network KPI evaluation chart can reflect the difference of different devices, network optimization, etc., so that the network KPI evaluation Closer to the existing network, the network KPI evaluation results corresponding to the multi-dimensional evaluation index parameters of the evaluation network can be obtained, and the accuracy of the network KPI evaluation is improved. The evaluation device of the network key performance indicator provided by the embodiment of the present invention will be described in detail below with reference to FIG.

It should be noted that the apparatus for evaluating the network key performance indicator shown in FIG. 4 is used to perform the method of the embodiment shown in FIG. 1 to FIG. 2 of the present invention. For the convenience of description, only the embodiment of the present invention is shown. For related parts, the specific technical details are not disclosed, please refer to the embodiment shown in FIG. 1 to FIG. 2 of the present invention.

FIG. 4 is a schematic structural diagram of an apparatus for evaluating a network key performance indicator according to an embodiment of the present invention; the apparatus may include: an evaluation parameter obtaining module 401, an evaluation chart obtaining module 402, and an evaluation result obtaining module 403.

The evaluation parameter obtaining module 401 is configured to obtain a multi-dimensional evaluation index parameter of the evaluation network.

As an optional implementation manner, the evaluation parameter obtaining module 401 acquires the multi-dimensional evaluation index parameter of the evaluation network, where the multi-dimensional evaluation index parameter of the evaluation network includes but is not limited to: the first parameter and/or the second parameter, The first parameter includes: a network interference feature parameter and a network coverage feature parameter, and the second parameter includes: a network quality feature parameter and a network level feature parameter. Specifically, the first parameter does not require static simulation, and the second parameter can be statically simulated.

Specifically, the network interference characteristic parameters include, but are not limited to: evaluating the traffic density of the network and/or evaluating the spectrum load of the network, for example, in the GSM network, evaluating the traffic density of the network as a unit frequency. With the traffic volume, the spectrum load of the evaluation network is shown by EFL, EFL = equivalent traffic volume / (total frequency points * number of traffic channels provided per carrier frequency), the larger the EFL value, the more serious the network interference. Further optionally, the network interference feature parameter may further include a hierarchical distribution of network interference features, such as a user-based or area-based hierarchical distribution.

Network quality characteristics parameters include, but are not limited to: Evaluating the carrier-to-interference ratio of the network and/or evaluating the level of the network, such as C/I for 2G networks, Ec/No for 3G networks. The network level characteristic parameters include: Estimating the level value of the network, such as Rxlev of the 2G network, Rxlev is the received signal level value, and Rscp of the 3G network.

As an optional implementation manner, the network quality feature parameter may include: network quality feature parameter level distribution data obtained by simulating the network quality feature parameter. Specifically, the network quality feature parameter level distribution data may include: the network quality feature parameter based on the region's level distribution data and/or the network quality feature parameter based on the user's level distribution data. For example, the simulation obtains the C/I area distribution data, simulates the Rxlev level distribution data, simulates the C/I level user number distribution data or simulates the Rxlev user number distribution data.

In other embodiments, the network quality feature parameter level distribution data is implemented in various manners, and may be a network quality feature that participates in a region's hierarchical distribution data, or may be a network quality feature parameter based on a user's hierarchical distribution data. Other implementation forms are also possible, and are not specifically limited by the embodiment.

As an optional implementation manner, the network level feature parameter may include: network level feature parameter level distribution data obtained by simulating the network level feature parameter. Specifically, the network level feature parameter level distribution data includes: the network level feature parameter is based on the level distribution data of the area and/or the network level feature parameter is based on the user's level distribution data. In other embodiments, the network quality feature parameter level distribution data is implemented in various manners, and may be a network quality feature participating in the regional level distribution data, or may be a network quality feature parameter based on the user's level distribution data. Other implementation forms are also possible, and are not specifically limited by the embodiment.

The evaluation chart is obtained by the module 402 for obtaining a target KPI evaluation chart matching the multi-dimensional evaluation index parameter of the evaluation network from a preset network KPI evaluation chart generated based on the source data of the implemented network.

As an optional implementation manner, the preset network KPI evaluation chart is a network KPI evaluation chart generated according to the multi-dimensional evaluation index parameter of the implemented network obtained from the source data of the implemented network and the corresponding network implementation result. . Optionally, the evaluation chart obtaining module 403 is specifically configured to: obtain, from the preset network KPI evaluation chart generated according to the source data of the implemented network, the network quality feature parameter level distribution data and the network level feature parameter level distribution. The target KPI evaluation chart of the data matching; the hierarchical distribution data of the network quality feature parameter includes: the network quality feature parameter is based on the level distribution data of the region and/or the network quality feature parameter is based on the user's hierarchical distribution data. For example, the simulation obtains the C/I area distribution data, simulates the Rxlev level distribution data, simulates the C/I user level distribution data, or simulates the Rxlev user level distribution data. The network level characteristic parameter level distribution data includes: the network level characteristic parameter «the level distribution data of the area and/or the network level characteristic parameter is based on the user's level distribution data.

As an optional implementation manner, the evaluation chart obtaining module 402 obtains, from the preset network KPI evaluation chart, a target network KPI evaluation chart that matches the multi-dimensional evaluation indicator parameter of the evaluation network, and the preset network KPI evaluation chart includes Multiple sub-evaluation charts, such as sub-evaluation charts corresponding to different network devices, sub-evaluation charts corresponding to multi-dimensional evaluation index parameters of each implemented network, etc., are found from multiple sub-evaluation charts and matched with multi-dimensional evaluation index parameters of the evaluation network. Target KPI evaluation chart. The target KPI evaluation chart may be at least one sub-evaluation chart, and the evaluation index parameter of the evaluation network is multi-dimensional. If the evaluation index parameter of each implemented network corresponds to a sub-evaluation chart in the preset network KPI evaluation chart, then the evaluation is performed. Multi-dimensional evaluation of network parameters

The KPI evaluation chart can correspond to multiple sub-evaluation charts. If the evaluation index parameter of each of the implemented networks corresponds to a sub-evaluation chart in the preset network KPI evaluation chart, the target KPI matching the multi-dimensional evaluation index parameter of the evaluation network is selected. The evaluation chart can correspond to one sub-evaluation chart or multiple sub-evaluation charts.

As an optional implementation manner, each sub-evaluation chart corresponds to a chart index for identifying The sub-chart and the easy-to-find, all-sub-evaluation chart chart index and the corresponding link address can be stored in a total index table, and the sub-evaluation matching the multi-dimensional evaluation index parameter of the evaluation network can be found in the total index table first. The chart index of the chart, and then the target KPI evaluation chart matching the multi-dimensional evaluation index parameter of the evaluation network is obtained according to the address link corresponding to the chart index of the sub-chart.

The evaluation result is obtained by the module 403 for obtaining the network KPI evaluation result corresponding to the multi-dimensional evaluation index parameter of the evaluation network from the target KPI evaluation chart.

As an optional implementation manner, the evaluation result is obtained from the target KPI evaluation chart, and the network KPI evaluation result corresponding to the multi-dimensional evaluation index parameter of the evaluation network is obtained. Further optionally, a target evaluation chart corresponding to the evaluation indicator parameter of each evaluation network may be obtained, for example, a target evaluation chart corresponding to the frequency reuse, a target evaluation chart corresponding to the traffic volume, etc., and the plurality of targets are evaluated. The chart, according to each target evaluation chart corresponding evaluation index parameter impact weight on the network KPI evaluation result, the network KPI evaluation result of the plurality of target evaluation chart is weighted to obtain the network KPI evaluation corresponding to the multi-dimensional evaluation index parameter of the evaluation network result.

Further, the apparatus for evaluating the network key performance indicator of the embodiment of the present invention may further include: a source data obtaining block 404 and an evaluation chart generating module 405.

The source data obtaining module 404 is configured to obtain, from the source data of the implemented network, a multi-dimensional evaluation indicator parameter of the implemented network and a network implementation result corresponding to the multi-dimensional evaluation indicator parameter of the implemented network.

As an optional implementation manner, the source data obtaining module 404 pre-collects source data of the implemented network, and obtains multi-dimensional evaluation index parameters of the implemented network and multi-dimensional evaluation indicators of the implemented network from the source data of the implemented network. The network implementation result corresponding to the parameter, the multi-dimensional evaluation index parameters of the implemented network include, but are not limited to, the network interference characteristic parameter of the implemented network, the network coverage characteristic parameter of the implemented network, the network quality characteristic parameter of the implemented network, and the implemented The network level characteristic parameter of the network or the user characteristic parameter of the implemented network. The network quality characteristic parameter of the implemented network may be a parameter that is periodically reported to the system when the user is in the process of performing network communication.

The evaluation chart generating module 405 is configured to generate the preset network KPI evaluation chart according to the acquired multi-dimensional evaluation index parameter of the implemented network and the corresponding network implementation result.

As an optional implementation manner, according to the obtained multi-dimensional evaluation index of the implemented network The number and the corresponding network implementation result generate a preset network KPI evaluation chart, and the preset network KPI evaluation chart room may correspond to a sub-evaluation chart for each implemented network evaluation indicator parameter, or may be for each of several The evaluation index parameter of the implementation network corresponds to a sub-evaluation chart, and the preset network KPI evaluation chart can be a graph, a bar chart, a pie chart, a histogram, a table, etc., which can be used for visually expressing the relationship between the evaluation index parameter and the network KPI evaluation result. Chart structure.

As an optional implementation manner, if the evaluation parameter obtaining module 401 obtains the multi-dimensional evaluation index parameter of the evaluation network, the first parameter includes: a network interference feature parameter and a network coverage feature parameter, and the network interference feature parameter such as an EFL In the factor Frload, the evaluation chart is obtained by matching the target KPI evaluation chart with the network interference characteristic parameter and the network coverage characteristic parameter. FIG. 3 is a schematic diagram of a network KPI evaluation chart provided by an embodiment of the present invention, and FIG. 3( a ) is a network KPI evaluation diagram corresponding to a factor Frload in the network interference characteristic parameter EFL, FIG. 3 ( a ) For the obtained target KPI evaluation chart matching the network interference characteristic parameter, the network KPI evaluation result corresponding to the network interference characteristic parameter can be obtained from FIG. 3( a ).

As an optional implementation manner, if the evaluation parameter obtaining module 401 obtains the multi-dimensional evaluation index parameter of the evaluation network, the second parameter includes: a network quality feature parameter and a network level feature parameter, and the network quality feature parameter may be The method includes: network quality feature parameter level distribution data obtained by simulating network quality characteristic parameters, network quality feature parameter level distribution data such as C/I distribution data of each level area, evaluation chart obtained from the ear block 402 from the implemented network A target KPI evaluation chart matching the network quality feature parameter level distribution data is acquired in the preset network KPI evaluation chart generated by the source data. As shown in Figure 3, Figure 3 (b) is the network KPI evaluation table corresponding to the C/I level distribution, and Figure 3 (b) is the obtained target KPI evaluation chart matching the network quality characteristic parameter level distribution data. Then, the network KPI evaluation result corresponding to the network quality characteristic parameter level distribution data can be obtained from FIG. 3(b).

In the above technical solution, an evaluation device for a network key performance indicator is provided, and the multi-dimensional evaluation index parameter of the evaluation network is obtained by evaluating the parameter acquisition module, and the evaluation chart acquisition module generates a pre-determination from the source data according to the implemented network. A target KPI evaluation chart matching the multi-dimensional evaluation indicator parameters of the evaluation network is obtained in the network KPI evaluation chart, and then the evaluation result acquisition module is obtained from the target KPI In the evaluation chart, the network KPI evaluation result corresponding to the multi-dimensional evaluation index parameter of the evaluation network is obtained, and the preset network KPI evaluation chart is to generate a network KPI evaluation chart according to the source data of the implemented network, thereby improving the matching with the actual business model of the existing network. Degrees, for example, the preset network KPI evaluation chart can reflect the difference of different devices, network optimization, etc., so that the network KPI evaluation is closer to the existing network, and the network KPI evaluation result corresponding to the multi-dimensional evaluation index parameter of the evaluation network can be obtained, and the evaluation result is improved. The accuracy of the network KPI assessment. FIG. 5 is a schematic structural diagram of a server according to an embodiment of the present invention. The server provided in this embodiment corresponds to the method shown in any one of FIG. 1 to FIG. The executive body of the assessment method for network key performance indicators. A specific implementation form is shown in FIG. 5. The server of the embodiment of the present invention includes: an input device 501, an output device 502, a memory 503, and a processor 504, where a set of program codes is stored in the memory 503, and the processor 504 is used by the processor 504. The program code stored in the memory 503 is called to perform the following operations:

Obtaining multi-dimensional evaluation indicator parameters of the evaluation network;

Optionally, the processor 504 is further configured to:

Obtaining, from source data of the implemented network, a multi-dimensional evaluation indicator parameter of the implemented network and a network implementation result corresponding to the multi-dimensional evaluation indicator parameter of the implemented network;

Optionally, the multi-dimensional evaluation indicator parameter of the evaluation network acquired by the processor 504 includes: a first parameter and/or a second parameter; the first parameter includes: a network interference feature parameter and a network coverage feature parameter; Parameters include: Network quality feature parameters and network level feature parameters.

Optionally, the network quality feature parameter includes: network quality feature parameter level distribution data obtained by simulating the network quality feature parameter; the network level feature parameter includes: Network level characteristic parameter level distribution data obtained by simulation of network level characteristic parameters. Optionally, the processor 504 obtains, from the preset network KPI evaluation chart generated according to the source data of the implemented network, a target KPI evaluation chart that matches the multi-dimensional evaluation indicator parameter of the evaluation network, specifically for:

Optionally, the network interference feature parameter includes: the traffic density of the evaluation network and/or the spectrum load of the evaluation network; the network coverage feature parameter includes: a base station spacing parameter, a coverage terrain parameter, or a coverage area feature. The network quality characteristic parameter includes: the carrier-to-interference ratio of the evaluation network; the network level characteristic parameter includes: a level value of the evaluation network.

The processor 504 can be a central processing unit (CPU), an application-specific integrated circuit (ASIC), or the like. The base station in this embodiment may further include a bus 505. Input device 501, output device 502, memory 503, and processor 504 can be connected and communicated via bus 505.

In the above technical solution, a server is provided, where the processor can obtain the multi-dimensional evaluation index parameter of the evaluation network, and obtain and evaluate the multi-dimensional evaluation index of the network from the preset network KPI evaluation chart generated according to the source data of the implemented network. The target KPI evaluation chart matching the parameters, and then obtaining the network KPI evaluation result corresponding to the multi-dimensional evaluation index parameter of the evaluation network from the target KPI evaluation chart, improving the matching degree with the actual business model of the existing network, and improving the accuracy of the network KPI evaluation. degree. In the above technical solution, a method and a device for evaluating a network key performance indicator are provided, and the multi-dimensional evaluation index parameter of the implemented network and the corresponding network implementation result are obtained from the source data of the implemented network, and a preset is generated. Network KPI assessment chart for multi-dimensional assessment of assessment networks The indicator parameter obtains a target KPI evaluation chart matching the multi-dimensional evaluation index parameter of the evaluation network from the preset network KPI evaluation chart, and then obtains the network KPI evaluation corresponding to the multi-dimensional evaluation index parameter of the evaluation network from the target KPI evaluation chart. As a result, the preset network KPI evaluation chart generates a network KPI evaluation chart according to the source data of the implemented network, and improves the matching degree with the actual business model of the live network. For example, the preset network KPI evaluation chart can reflect different devices and network optimization. The difference between the two makes the network KPI evaluation closer to the existing network, and can obtain the network KPI evaluation result corresponding to the multi-dimensional evaluation index parameters of the evaluation network, which improves the accuracy of the network KPI evaluation.

From the description of the above embodiments, those skilled in the art can clearly understand that the present invention can be implemented in hardware, firmware implementation, or a combination thereof. When implemented in software, the functions described above may be stored in or transmitted as one or more instructions or code on a computer readable medium. Computer readable media includes both computer storage media and communication media including any medium that facilitates transfer of a computer program from one location to another. A storage medium may be any available media that can be accessed by a computer. By way of example and not limitation, computer readable media may comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, disk storage media or other magnetic storage device, or can be used for carrying or storing in the form of an instruction or data structure. The desired program code and any other medium that can be accessed by the computer. Also. Any connection may suitably be a computer readable medium. For example, if the software is transmitted from a website, server, or other remote source using coaxial cable, fiber optic cable, twisted pair, digital subscriber line (DSL), or wireless technologies such as infrared, radio, and microwave, then the coaxial cable , fiber optic cable, twisted pair, DSL, or wireless technologies such as infrared, wireless, and microwaves are included in the fixing of the associated media. As used in the present invention, a disk and a disc include a compact disc (CD), a laser disc, a disc, a digital versatile disc (DVD), a floppy disk, and a Blu-ray disc, wherein the disc is usually magnetically copied, and the disc is The laser is used to optically replicate the data. Combinations of the above should also be included within the scope of the computer readable media.

The above is only the preferred embodiment of the present invention, and the scope of the present invention is not limited thereto, and the equivalent changes made by the claims of the present invention are still within the scope of the present invention.

Claims

Rights request

1. An evaluation device for network key performance indicators, characterized in that the device includes: an evaluation parameter acquisition module, used to obtain multi-dimensional evaluation index parameters for evaluating the network;

The evaluation chart acquisition block is used to obtain a target KPI evaluation chart that matches the multi-dimensional evaluation indicator parameters of the evaluation network from a preset network key performance indicator KPI evaluation chart generated based on the source data of the implemented network;

The evaluation result acquisition module is used to obtain the network KPI evaluation results corresponding to the multi-dimensional evaluation index parameters of the evaluation network from the target KPI evaluation chart.

2. The device according to claim 1, characterized in that, the device further includes:

The source data acquisition module is used to obtain the multi-dimensional evaluation index parameters of the implemented network and the network implementation results corresponding to the multi-dimensional evaluation index parameters of the implemented network from the source data of the implemented network;

An evaluation chart generation module is configured to generate the preset network KPI evaluation chart based on the obtained multi-dimensional evaluation index parameters of the implementation network and the corresponding network implementation results.

3. The device according to claim 1, wherein the multi-dimensional evaluation index parameters of the evaluation network include: a first parameter and/or a second parameter; the first parameter includes: a network interference characteristic parameter and a network Coverage characteristic parameters; The second parameters include: network quality characteristic parameters and network level characteristic parameters.

4. The device according to claim 3, wherein the network quality characteristic parameters include: network quality characteristic parameter level distribution data obtained by simulating the network quality characteristic parameters; the network level characteristic parameters include : Network level characteristic parameter level distribution data obtained by simulating the network level characteristic parameters.

5. The device according to claim 4, characterized in that the evaluation chart acquisition module is specifically used for: Obtain a target KPI evaluation chart that matches the network quality characteristic parameter level distribution data and the network level characteristic parameter level distribution data from the preset network KPI evaluation chart generated based on the source data of the implemented network;

The network quality feature parameter level distribution data includes: the network quality feature parameter level distribution data based on regions and/or the network quality feature parameter level distribution data based on users; the network level feature parameter level distribution data This includes: the network level feature refers to the level distribution data of the region and/or the network level feature parameter is based on the level distribution data of the user.

6. The device according to claim 3, wherein the network interference characteristic parameters include: the traffic density of the evaluation network and/or the spectrum load of the evaluation network;

The network coverage characteristic parameters include: base station spacing parameters, coverage terrain parameters or coverage area characteristic information;

The network quality characteristic parameters include: the carrier-to-interference ratio of the evaluated network;

The network level characteristic parameters include: the level value of the evaluation network.

7. An evaluation method for network key performance indicators, characterized in that the method includes: obtaining multi-dimensional evaluation index parameters for evaluating the network;

Obtain a target KPI evaluation chart that matches the multi-dimensional evaluation indicator parameters of the evaluation network from a preset KPI evaluation chart generated based on the source data of the implemented network;

Obtain the network KPI evaluation results corresponding to the multi-dimensional evaluation index parameters of the evaluation network from the target KPI evaluation chart.

8. The method according to claim 7, characterized in that, before obtaining the multi-dimensional evaluation index parameters of the evaluation network, the method includes:

Obtain the multi-dimensional evaluation index parameters of the implemented network and the network implementation results corresponding to the multi-dimensional evaluation index parameters of the implemented network from the source data of the implemented network;

The preset network KPI evaluation chart is generated according to the obtained multi-dimensional evaluation index parameters of the implementation network and the corresponding network implementation results.

9. The method of claim 7, wherein the multi-dimensional evaluation index parameters of the evaluation network include: a first parameter and/or a second parameter; the first parameter includes: a network interference characteristic parameter and a network Coverage characteristic parameters; The second parameters include: network quality characteristic parameters and network level characteristic parameters.

10. The method of claim 9, wherein the network quality characteristic parameters include: network quality characteristic parameter level distribution data obtained by simulating the network quality characteristic parameters; the network level characteristic parameters include : Network level characteristic parameter level distribution data obtained by simulating the network level characteristic parameters.

11. The method of claim 10, wherein: obtaining targets that match the multi-dimensional evaluation index parameters of the evaluation network from a preset network KPI evaluation chart generated according to the source data of the implemented network. KPI evaluation charts include:

Obtain a target KPI evaluation chart that matches the network quality characteristic parameter level distribution data and the network level characteristic parameter level distribution data from a preset network KPI evaluation chart generated based on the source data of the implemented network;

The network quality feature parameter level distribution data includes: the network quality feature parameter level distribution data based on regions and/or the network quality feature parameter level distribution data based on users; the network level feature parameter level distribution data This includes: the network level feature parameter is based on level distribution data of the region and/or the network level feature parameter is based on the level distribution data of the user.

12. The method of claim 9, wherein the network interference characteristic parameters include: the traffic density of the evaluation network and/or the spectrum load of the evaluation network;

13. A server, characterized in that it includes: an input device, an output device, a memory and a processor, wherein a set of program codes is stored in the memory, and the processor is used to call the program code stored in the memory to perform the following operations :

Obtain the multi-dimensional evaluation index parameters of the evaluation network;

Obtain a target KPI evaluation chart that matches the multi-dimensional evaluation indicator parameters of the evaluation network from a preset network KPI evaluation chart generated based on the source data of the implemented network;