A Mobile Network Base Station Flow Prediction Method

A technology for traffic forecasting and mobile networks, applied in data exchange networks, digital transmission systems, electrical components, etc., to achieve simple and effective calculation methods, good innovation and practicability, and achieve the effect of investment benefit evaluation

Active Publication Date: 2021-10-08
CHINA TELECOM CORP LTD
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, there is no corresponding scientific evaluation method for mobile communication networks

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • A Mobile Network Base Station Flow Prediction Method
  • A Mobile Network Base Station Flow Prediction Method
  • A Mobile Network Base Station Flow Prediction Method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[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...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a mobile network base station traffic prediction method, which belongs to the technical field of wireless communication data analysis. It includes: obtaining the load index of the existing network cell, the industrial parameter information of the existing network cell, and the planned base station information; calculating the coverage of the existing network base station, the planned base station coverage area, the set of adjacent existing network base stations of the existing network base station, and the adjacent existing network of the planned base station A collection of base stations; obtaining a kernel density model; calculating the initial predicted flow of the base station; obtaining a forecast model of the base station flow; obtaining the predicted flow of the planned base station, etc. Based on the simulation of the actual data of the existing network, the present invention obtains the applicable kernel density model and performs the initial traffic prediction, and then combines the machine learning algorithm to perform the secondary prediction, which can realize the scientific and accurate prediction of the planned base station traffic, and provide a reference for network construction , so that the cost of network construction can achieve the best effect.

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...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Patents(China)
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
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products