| 한글제목(Korean Title) |
A Signal Subspace Interference Alignment Scheme with Sum Rate Maximization and Altruistic-Egoistic Bayesian Gaming |
| 영문제목(English Title) |
A Signal Subspace Interference Alignment Scheme with Sum Rate Maximization and Altruistic-Egoistic Bayesian Gaming |
| 저자(Author) |
Shixin Peng
Yingzhuang Liu
Hua Chen
Zhengmin Kong
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| 원문수록처(Citation) |
VOL 08 NO. 06 PP. 1926 ~ 1945 (2014. 06) |
한글내용
(Korean Abstract) |
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영문내용
(English Abstract) |
In this paper, we propose a distributed signal subspace interference alignment algorithm for single beam K−user (K≥3) MIMO interference channel based on sum rate maximization and game theory. A framework of game theory is provided to study relationship between interference signal subspace and altruistic-egoistic bayesian game cost function. We demonstrate that the asymptotic interference alignment under proposed scheme can be realized through a numerical algorithm using local channel state information at transmitters and receivers. Simulation results show that the proposed scheme can achieve the total degrees of freedom that is equivalent to the Cadambe-Jafar interference alignment algorithms with perfect channel state information. Furthermore, proposed scheme can effectively minimize leakage interference in desired signal subspace at each receiver and obtain a moderate average sum rate performance compared with several existing interference alignment schemes.
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| 키워드(Keyword) |
MIMO interference channel
Interference alignment
Signal subspace
Altruistic-Egoistic bayesian game cost function
Degrees of Freedom
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| 파일첨부 |
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