认知MIMO系统中波束成形和功率的联合控制博弈算法

doi:10.11959/j.issn.1000-0801.2015151

Abstract

Abstract:

The optimization problem of joint beamforming and power for cognitive MIMO system was studied.Firstly，a non-cooperative separable game model was established and a cost function about the two parameters was put forward.Then it was concluded that the optimal Nash equilibrium of joint game exists by proving the existence of optimal Nash equilibrium of two sub-games through KT conditions.Finally，a new iterative algorithm alternately was presented.The simulation results demonstrate that the proposed algorithm has a faster convergence rate.Meanwhile，the algorithm also comes to the optimal Nash equilibrium and has perfect stability in the dynamic communication environment.

Key words: cognitive radio, MIMO, game theory, beamforming，power

Qing Peng,Yinwei Li,Zhijun Guo. Joint Beamforming and Power Control Algorithm for Cognitive MIMO System via Game Theory[J]. Telecommunications Science, 2015, 31(8): 39-45.

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References 13

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Joint Beamforming and Power Control Algorithm for Cognitive MIMO System via Game Theory

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