Evolutionary Game Theory Based Network Selection for Constrained Heterogeneous Networks

被引：8

作者：

Sui, Nannan ^{[1
]}

Zhang, Dongmei ^{[1
]}

Zhong, Wei ^{[1
]}

Wu, Lianguo ^{[1
]}

Zhang, Zhensong ^{[1
]}

机构：

[1] PLA Univ Sci & Technol, Coll Commun Engn, Nanjing 210007, Jiangsu, Peoples R China

来源：

2015 2ND INTERNATIONAL CONFERENCE ON INFORMATION SCIENCE AND CONTROL ENGINEERING ICISCE 2015 | 2015年

关键词：

network selection; evolutionary game; constrained heterogeneous networks; centralized evolution algorithm;

D O I：

10.1109/ICISCE.2015.170

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Network selection plays an important role in load balancing and radio resources management. In this paper, we use the evolutionary game theory to address the network selection problem in the constrained heterogeneous networks. An indication function is introduced into the payoff function to represent the punishment term. The population dynamics can be obtained by the replicator equations. A centralized population evolution algorithm is proposed to implement the evolutionary game. At last, the validity of our analysis and the proposed algorithm is verified by numerical results and Monte Carlo simulations.

引用

页码：740 / 744

页数：5

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