Power Control Algorithm of Cognitive Radio Based on Non-Cooperative Game Theory

被引：0

作者：

Zhao Junhui ^{[1
,2
,3
]}

Yang Tao ^{[2
]}

Gong Yi ^{[4
]}

Wang Jiao ^{[2
]}

Fu Lei ^{[2
]}

机构：

[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China

[2] Beijing Jiaotong Univ, State Key Lab Rail Traff Control & Safety, Beijing 100044, Peoples R China

[3] Chinese Acad Sci, Key Lab Wireless Sensor Network & Commun, Shanghai Inst Microsyst & Informat Technol, Shanghai 200050, Peoples R China

[4] South Univ Sci & Technol China, Dept Elect & Elect Engn, Shenzhen 518055, Peoples R China

来源：

CHINA COMMUNICATIONS | 2013年 / 10卷 / 11期

基金：

中国国家自然科学基金;

关键词：

cognitive radio; non-cooperative power control game theory; utility function; Nash equilibrium; target power; ALLOCATION; NETWORKS;

D O I：

10.1109/cc.2013.6674218

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

This paper addresses the power control problems of Cognitive Radio (CR) under transmission power and interference temperature constraints. First, we propose the interference constraint which ensures that the Quality of Service (QoS) standards for primary users is considered and a non-cooperative game power control model. Based on the proposed model, we developed a logical utility function based on the Signal-to-Interference-Noise Ratio (SINR) and a novel algorithm that is suitable for CR network power control. Then, the existence and uniqueness of the Nash Equilibrium (NE) in our utility function are proved by the principle of game theory and the corresponding optimizations. Compared to traditional algorithms, the proposed one could converge to an NE in 3-5 iterative operations by setting an appropriate pricing factor. Finally, simulation results verified the stability and superiority of the novel algorithm in flat-fading channel environments.

引用

页码：143 / 154

页数：12

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