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Power Control Algorithm Based on Non-cooperative Game in Cognitive Radio Networks

Author: ZhuYiZuo
Tutor: ShaoShiXiang
School: Nanjing University of Posts and Telecommunications
Course: Communication and Information System
Keywords: Cognitive radio Power Control Non-cooperative game Nash equilibrium
CLC: TN925
Type: Master's thesis
Year: 2011
Downloads: 66
Quote: 0
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Abstract


With the rapid development of wireless communication technology and the rapid increase in demand for wireless communication services , the lack of radio spectrum resources is becoming increasingly serious. Cognitive radio technology is considered to be an effective means to solve the current shortage of radio spectrum resources , many domestic and foreign scholars and institutions , it is a comprehensive , in-depth research in the birth of cognitive radio spectrum sensing , spectrum allocation and power control a number of new research results. Non-cooperative game - based cognitive radio power control algorithm to solve the power control problem in cognitive radio important guiding significance . In order to improve the power control in cognitive radio , using a combination of theoretical analysis and numerical simulation methods . Non-cooperative power control game model and based on the cost function is non- cooperative power control game model to prove the existence of the Nash equilibrium , simulation and compare the performance of the two game model of the transmit power and signal-to-interference ratio . The simulation results show that the NPG model the , NPGP model to make the system work in a relatively low transmit power and has a higher income , but fairness than the NPG model of the user signal-to-interference ratio . , From the point of view of practical application in existing power control game algorithm based on a new cost function is designed to improve the the game algorithm 's convergence speed and reduce the transmit power for each user , and its iterative solution and convergence proof of simulation , in the case of different user distribution on the performance of the new algorithm in the convergence rate , transmit power and signal-to-interference ratio compared with SIR balancing algorithm and Koskie-Gajic algorithm . The simulation results show that , regardless of what user distribution case , the new power control game algorithm performance in convergence rate , transmit power than the original game algorithm has been greatly improved , which reduces power consumption to save energy .

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Radio relay communications,microwave communications
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