Mobile network base station traffic prediction method

A technology of traffic forecasting and mobile network, applied in data exchange network, digital transmission system, electrical components, etc., to achieve the effect of investment benefit evaluation, good innovation and practicability, good applicability and popularization

Active Publication Date: 2020-12-08
CHINA TELECOM CORP LTD
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  • Mobile network base station traffic prediction method
  • Mobile network base station traffic prediction method
  • Mobile network base station traffic prediction method

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[0038] In order to make it easier for those skilled in the art to understand the technical solution of this patent, and at the same time, in order to make the technical purpose, technical solution and beneficial effect of this patent clearer, and to fully support the protection scope of the claims, the following is a specific case in the form of this patent. The technical solution of the patent makes further and more detailed descriptions.

[0039] A mobile network base station traffic forecasting method, the method respectively obtains the current network community load index, community work parameters, and planned base station information from the network traffic statistics network management system and the community work reference network management office, and after analyzing and cleaning the data, imports Oracle database, through the kernel density model algorithm, machine learning algorithm, etc., to realize the planning of the traffic GB res Prediction.

[0040] The sp...

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Abstract

The invention discloses a mobile network base station traffic prediction method, and belongs to the technical field of wireless communication data analysis. The method comprises the following steps: acquiring a current network cell load index, current network cell work parameter information and planning base station information; calculating a current network base station coverage area, a planningbase station coverage area, an adjacent current network base station set of the current network base station, and an adjacent current network base station set of the planning base station; obtaining akernel density model; calculating the initial prediction traffic of the base station; obtaining a base station traffic prediction model; and obtaining the predicted traffic of the planning base station. On the basis of simulation of current network actual data, an applicable kernel density model is obtained and initial traffic prediction is carried out, and then secondary prediction is carried out in combination with a machine learning algorithm, so that scientific and accurate prediction of planning base station traffic can be achieved, a reference basis is provided for network construction,and the optimal effect of the network construction cost is achieved.

Description

technical field [0001] The invention relates to the technical field of wireless communication data analysis, in particular to a mobile network base station flow prediction method. Background technique [0002] In today's era of rapid development of mobile communication, with the rapid growth of 4G mobile communication users, the infrastructure construction of mobile communication networks, including base station site selection, site survey, equipment construction and other tasks need to invest a lot of time, materials and financial resources . How to make the initial investment generate profits in the shortest time has become an important topic currently. However, how to predict the investment benefit before the site selection of the base station, realize the scientific construction of the station, and evaluate the profit is still in the blank field. [0003] Under the current environment, the main evaluation method is to roughly evaluate whether there is investment demand...

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Application Information

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IPC IPC(8): H04L12/26H04L12/24H04W24/08H04W88/08
CPCH04L41/147H04L43/0888H04W24/08H04W88/08
Inventor 安新朝蔡俊青
Owner CHINA TELECOM CORP LTD
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