Iterative reweighted least squares interference alignment approach for multicell MIMO networks

DOI Web Site 参考文献8件 オープンアクセス
  • Rihan Mohamed
    Center for Japan-Egypt Cooperation in Science and Technology, Kyushu University School of Electronics, Communications, and Computing, Egypt-Japan University of Science and Technology (E-JUST)
  • Elsabrouty Maha
    School of Electronics, Communications, and Computing, Egypt-Japan University of Science and Technology (E-JUST)
  • Muta Osamu
    Center for Japan-Egypt Cooperation in Science and Technology, Kyushu University
  • Furukawa Hiroshi
    Center for Japan-Egypt Cooperation in Science and Technology, Kyushu University

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説明

In this paper, we investigate iterative interference alignment (IA) approaches for multi-input multi-output (MIMO) multicell communication systems. We proposed an iterative reweighted least square (IRLS) approach for MIMO interference channel in single-cell scenario. The basic contribution of this paper is to extend the proposed IRLS algorithm to the more practical case of aligning co-channel interference signals in orthogonal frequency division multiple access (OFDMA) based cellular systems. The simulation results show that the proposed approach achieves a superior total system sum-rate than both the conventional Orthogonal-Minimum Leakage (OR-ML) and the Orthogonal-Maximum Signal to Interference Noise Ratio (OR-MSINR) approaches.

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