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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Language: | zho |
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Beijing Xintong Media Co., Ltd
2015-08-01
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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 |
id | doaj-art-ec9007afeb66476db9b7dcf8b0e432d5 |
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/ |
work_keys_str_mv | AT qingpeng jointbeamformingandpowercontrolalgorithmforcognitivemimosystemviagametheory AT yinweili jointbeamformingandpowercontrolalgorithmforcognitivemimosystemviagametheory AT zhijunguo jointbeamformingandpowercontrolalgorithmforcognitivemimosystemviagametheory |