A Signal Subspace Interference Alignment Scheme with Sum Rate Maximization and Altruistic-Egoistic Bayesian Gaming
In this paper, we propose a distributed signal subspace interference alignment algorithm for single beam K-user (K [greater than or equal to] 3) MIMO interference channel based on sum rate maximization and game theory. A framework of game theory is provided to study relationship between interference...
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Veröffentlicht in: | KSII transactions on Internet and information systems 2014, 8(6), , pp.1926-1945 |
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Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
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Zusammenfassung: | In this paper, we propose a distributed signal subspace interference alignment algorithm for single beam K-user (K [greater than or equal to] 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. Keywords: MIMO interference channel, Interference alignment, Signal subspace, Altruistic-Egoistic bayesian game cost function, Degrees of Freedom |
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ISSN: | 1976-7277 1976-7277 |
DOI: | 10.3837/tiis.2014.06.007 |