异构蜂窝网络中基于社区检测的跟踪区域规划方案

doi:10.19678/j.issn.1000-3428.0050671

计算机工程 ›› 2019, Vol. 45 ›› Issue (7): 134-139. doi: 10.19678/j.issn.1000-3428.0050671

异构蜂窝网络中基于社区检测的跟踪区域规划方案

林强强¹, 涂山山^1,2, 刘濛¹, 肖创柏¹

1. 北京工业大学信息学部, 北京 100124;
2. 可信计算北京市重点实验室, 北京 100124

收稿日期:2018-03-08 修回日期:2018-05-17 出版日期:2019-07-15 发布日期:2019-07-23
作者简介:林强强(1994-),男,硕士,主研方向为异构蜂窝网络、模式识别;涂山山,讲师、博士;刘濛,硕士;肖创柏,教授、博士、博士生导师。
基金资助:
国家自然科学基金（61671030）；北京市科技计划项目（Z171100004717001）；北京市自然科学基金重点项目（L172049）；北京工业大学研究生科技基金（ykj-2017-00850）。

Tracking Area Planning Scheme Based on Community Detection in Heterogeneous Cellular Network

LIN Qiangqiang¹, TU Shanshan^1,2, LIU Meng¹, XIAO Chuangbai¹

1. Faculty of Information, Beijing University of Technology, Beijing 100124, China;
2. Beijing Key Laboratory of Trusted Computing, Beijing 100124, China

Received:2018-03-08 Revised:2018-05-17 Online:2019-07-15 Published:2019-07-23

摘要/Abstract

摘要： 面向海量小蜂窝部署环境，在异构蜂窝网络跟踪区域（TA）规划过程中会出现位置更新信令不均匀和乒乓效应等现象。针对该问题，提出一种基于Newman快速社区检测算法的TA规划方案。将TA规划建模为复杂网络中的社区检测问题，并应用社区检测中的Newman算法得到网络中的社区划分结构。通过引入社区划分的模块度概念衡量方案性能，实验结果表明，与基于博弈的TA规划方案相比，该方案在小蜂窝数量和小蜂窝泊松分布期望值较高的情况下模块度平均提高0.107，规划性能较优。

关键词: 异构蜂窝网络, 跟踪区域规划, 模块度, 社区检测, 泊松分布期望

Abstract: For the large-scale deployment environment of Small Cellular(SC),the existing planning processes of the Tracking Area(TA) in Heterogeneous Cellular Network(HCN) have such phenomena as uneven signaling of position update and ping-pong effect.Aiming at this problem,this paper proposes a TA planning scheme based on Newman rapid community detection algorithm.TA planning is modeled as the community detection problem in the complex network,and the Newman algorithm in the community detection is used to get the community partition structure in the network.The concept of modularity of community detection is introduced to measure the performance of the proposed scheme.Experimental results show that,in the case of large number of SC and high Poisson distribution expectation of SC,compared with the TA planning scheme based on game,the modularity of the proposed scheme is increased by 0.107 on average,which shows a better planning performance.

Key words: Heterogeneous Cellular Network(HCN), Tracking Area(TA) planning, modularity, community detection, Poisson distribution expectation

中图分类号:

TP391

林强强, 涂山山, 刘濛, 肖创柏. 异构蜂窝网络中基于社区检测的跟踪区域规划方案[J]. 计算机工程, 2019, 45(7): 134-139.

LIN Qiangqiang, TU Shanshan, LIU Meng, XIAO Chuangbai. Tracking Area Planning Scheme Based on Community Detection in Heterogeneous Cellular Network[J]. Computer Engineering, 2019, 45(7): 134-139.

https://www.ecice06.com/CN/Y2019/V45/I7/134

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