• DocumentCode
    1514019
  • Title

    Dynamic Interference Mitigation for Generalized Partially Connected Quasi-Static MIMO Interference Channel

  • Author

    Ruan, Liangzhong ; Lau, Vincent K N

  • Author_Institution
    ECE Dept., Hong Kong Univ. of Sci. & Technol., Hong Kong, China
  • Volume
    59
  • Issue
    8
  • fYear
    2011
  • Firstpage
    3788
  • Lastpage
    3798
  • Abstract
    Recent works on MIMO interference channels have shown that interference alignment can significantly increase the achievable degrees of freedom (dof) of the network. However, most of these works have assumed a fully connected interference graph. In this paper, we investigate how the partial connectivity can be exploited to enhance system performance in MIMO interference networks. We propose a novel interference mitigation scheme which introduces constraints for the signal subspaces of the precoders and decorrelators to mitigate “many” interference nulling constraints at a cost of “little” freedoms in precoder and decorrelator design so as to extend the feasibility region of the interference alignment scheme. Our analysis shows that the proposed algorithm can significantly increase system dof in symmetric partially connected MIMO interference networks. We also compare the performance of the proposed scheme with various baselines and show via simulations that the proposed algorithms could achieve significant gain in the system performance of randomly connected interference networks.
  • Keywords
    MIMO communication; decorrelation; interference suppression; precoding; decorrelators; dynamic interference mitigation; interference alignment; interference graph; interference nulling constraints; partial connectivity; precoders; quasistatic MIMO interference channel; randomly connected interference networks; signal subspaces; Correlation; Decorrelation; Fading; Interference channels; MIMO; Shadow mapping; Interference alignment; MIMO interference channel; partial connectivity;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2011.2153198
  • Filename
    5765724