Tracking area list management method based on overlapping community detection in small cellular network

Abstract

The invention provides a tracking area list management method based on overlapping community detection in a small cellular network. For user location management in the small cellular network, the signaling expenditure of a network system is optimized, and a determination method of a TAL is provided. For the giving of the small cellular network mode after TA planning, the general idea of the methodprovided by the invention is as follows: firstly counting tracking area location updating and paging data of the user at the specific time frame and in the specific region; and then modelling a TAL management method as a graph partition problem, and giving a linear planning model; and finally giving a TAL structure by applying an overlapping community detection algorithm based on the game theory.

Description

technical field [0001] The invention relates to the technical field of location management in communication technology, and mainly relates to a tracking area list (TAL, Tracking Area List) management method based on overlapping community detection. Background technique [0002] In the future small cell network, there will be a large number of mobile terminals, which will greatly increase the capacity requirements of the network. In large hotspot areas, such as shopping malls and stadiums, there will be a large number of mobile devices, so the intensive deployment of small cell base stations is imminent, and the subsequent ultra-dense networking applications will emerge. The future small cell network will densely deploy small cells featuring self-organization, low cost, and low power. With the miniaturization of small cell size and higher user density and mobility. All of these will significantly increase the location update frequency of mobile users, resulting in higher si...

AI Technical Summary

Problems solved by technology

[0005] Most of the above TAL-based location management methods generate different TALs for different mobile users, and the computational efficiency of these methods will drop sharply in a massive small cell deployment environment.

And most of them are based on the assumption of a regular pattern of the same size, shape and distribution of cells. Although the structured cell topology simplifies the analysis and calculation, they are seriously separated from the actual characteristics in real life, especially in small cell networks. deployment environment

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