Dynamic Spectrum Access in Cognitive Radio Networks Using Potential Game
Date Issued
2010
Date
2010
Author(s)
Chien, Tsung-Hsun
Abstract
In recent years, Cognitive Radio(CR) is a potential application in wireless communications. The algorithm, which uses Potential Game, proposed in this thesis solving the throughput and mutual interference problems, caused by excess transmission power, with adaptive power control in Cognitive Radio networks. The simulation environment is distributive and cooperative transmission model, which is composed of a primary users and some secondary users on the same channel with Ad-Hoc mode. Under the algorithm architecture, no user would choose excess power to gain their own larger SINR. The algorithm would make all secondary users converge to Nash Equilibrium. In addition, three power levels is concerned. First, power from primary user’s SINR requirement. Second, secondary user’s SINR requirement power. Third, the power obtained from utility function in Potential Game. The algorithm flow clearly classify with specific constraints to choose suitable power levels and improve Best Response Convergence in Potential Game due to the best response in utility function is not always established in real Cognitive Radio environment. Therefore, the algorithm provides secondary users with more robust decision making to efficiently cope with increment of throughput and decrement of mutual interference. Secondary users would choose proper power level to avoid power waste. The algorithm in this thesis can facilitate power saving and is available for Green Communications and dynamic spectrum access(DSA) in efficient spectrum utilization.
key words: Cognitive Radio; Software Defined Radio; Game Theory; Potential Game; Power Control; Green Communications
Subjects
Cognitive Radio
Software Defined Radio
Game Theory
Potential Game
Power Control
Green Communications
Type
thesis
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