A Nash game algorithm for distributive power control with faster convergence in cognitive radio

Authors:
Luyong Zhang;Sen Zhang;Lin Wu;Yujun Liu;Chengshi Zhao
Affiliations:
Key Lab of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China;Key Lab of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China;Key Lab of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China;Key Lab of Universal Wireless Communications, MOE, Wireless Network Lab, Beijing University of Posts and Telecommunications, Beijing, China;Telecom. Engineering Lab, Graduate School of IT and Telecom, Inha University, Incheon, Korea
Venue:
ISCIT'09 Proceedings of the 9th international conference on Communications and information technologies
Year:
2009

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Abstract

A novel algorithm is proposed for CDMA cognitive radio (CR) system which introduces Nash Game into distributed power control. We design an effective cost function, of which there exists the Nash Equilibrium. The existence and uniqueness of the Nash Equilibrium have been proved. Simulation shows that this new algorithm converges faster comparing to the other two classic algorithms while the signal to interference ratio (SIR) meets the requirement.