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Dynamic spectrum access for multi-type buyers in cognitive MIMO radio networks

ZHONG Wei;XU Youyun;CHEN Jingjing;HUANG Long;ZHANG Wang;College of Communications Engineering,PLA Univ.of Sci.& Tech.;  
A game theoretic framework of the auction based dynamic spectrum access for multi-type buyers(i.e.,the secondary users that have different risk preferences)in cognitive MIMO networks was presented in this paper where the auction mechanisms of the primary user are parameterized and can be adaptively designed.The proposed game is a discrete game which must have at least one mixed or pure strategy Nash equilibrium.Based on the concept of learning automata,a distributed algorithm was proposed to learn the Nash equilibrium of the proposed game with limited feedback.Simulation results show that our proposed algorithm is efficient and can achieve much higher performance than the traditional fixed auction mechanism schemes and the random algorithm.
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