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

This paper addresses the power con- trol problems of Cognitive Radio （CR） trader transmission power and interference tempera- ture constraints. First, we propose the interfer- ence constraint which ensures that the Quality of Service （QoS） standards for primary users is considered and a non-cooperat...

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Bibliographic Details
Published inChina communications Vol. 10; no. 11; pp. 143 - 154
Main Authors Junhui, Zhao, Tao, Yang, Yi, Gong, Jiao, Wang, Lei, Fu
Format Journal Article
LanguageChinese
English
Published China Institute of Communications 01.11.2013
Subjects
Cognitive radio
Game theory
Interference
Nash equilibrium
non-cooperative power control game theory
Power control
Resource management
Signal to noise ratio
target power
utility function
功率控制算法
平坦衰落信道
控制模型
控制问题
效用函数
服务质量
认知无线电
非合作博弈
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Summary:This paper addresses the power con- trol problems of Cognitive Radio （CR） trader transmission power and interference tempera- ture constraints. First, we propose the interfer- ence 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 （S/NR） and a novel algorithm network power control. that is suitable for CR 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 optimi- zations. 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 ver- ified the stability and superiority of the novel algorithm in flat-fading channel environments.
Bibliography:cognitive radio; non-cooperativepower control game theory; utility function; Na-sh equilibrium; target power
This paper addresses the power con- trol problems of Cognitive Radio （CR） trader transmission power and interference tempera- ture constraints. First, we propose the interfer- ence 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 （S/NR） and a novel algorithm network power control. that is suitable for CR 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 optimi- zations. 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 ver- ified the stability and superiority of the novel algorithm in flat-fading channel environments.
11-5439/TN
ISSN:1673-5447
DOI:10.1109/CC.2013.6674218