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

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 pr...

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Main Authors: Qing Peng, Yinwei Li, Zhijun Guo
Format: Article
Language:zho
Published: Beijing Xintong Media Co., Ltd 2015-08-01
Series:Dianxin kexue
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Online Access:http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015151/
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author Qing Peng
Yinwei Li
Zhijun Guo
author_facet Qing Peng
Yinwei Li
Zhijun Guo
author_sort Qing Peng
collection DOAJ
description 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.
format Article
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institution Kabale University
issn 1000-0801
language zho
publishDate 2015-08-01
publisher Beijing Xintong Media Co., Ltd
record_format Article
series Dianxin kexue
spelling doaj-art-ec9007afeb66476db9b7dcf8b0e432d52025-01-15T03:16:46ZzhoBeijing Xintong Media Co., LtdDianxin kexue1000-08012015-08-0131394559614023Joint Beamforming and Power Control Algorithm for Cognitive MIMO System via Game TheoryQing PengYinwei LiZhijun GuoThe 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.http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015151/cognitive radioMIMOgame theorybeamforming,power
spellingShingle Qing Peng
Yinwei Li
Zhijun Guo
Joint Beamforming and Power Control Algorithm for Cognitive MIMO System via Game Theory
Dianxin kexue
cognitive radio
MIMO
game theory
beamforming,power
title Joint Beamforming and Power Control Algorithm for Cognitive MIMO System via Game Theory
title_full Joint Beamforming and Power Control Algorithm for Cognitive MIMO System via Game Theory
title_fullStr Joint Beamforming and Power Control Algorithm for Cognitive MIMO System via Game Theory
title_full_unstemmed Joint Beamforming and Power Control Algorithm for Cognitive MIMO System via Game Theory
title_short Joint Beamforming and Power Control Algorithm for Cognitive MIMO System via Game Theory
title_sort joint beamforming and power control algorithm for cognitive mimo system via game theory
topic cognitive radio
MIMO
game theory
beamforming,power
url http://www.telecomsci.com/zh/article/doi/10.11959/j.issn.1000-0801.2015151/
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AT yinweili jointbeamformingandpowercontrolalgorithmforcognitivemimosystemviagametheory
AT zhijunguo jointbeamformingandpowercontrolalgorithmforcognitivemimosystemviagametheory