• DocumentCode
    615885
  • Title

    Power control based semi-distributed algorithm for MIMO interference channel

  • Author

    Ben Halima, Slim ; Saadani, Ahmed

  • Author_Institution
    Orange Labs., Issy-Les-Moulineaux, France
  • fYear
    2013
  • fDate
    7-10 April 2013
  • Firstpage
    603
  • Lastpage
    607
  • Abstract
    This paper deals with the design of pre-coding and decorrelation matrices in the constant MIMO interference channel. First, we propose a distributed algorithm that enables all the streams of the links in the network to reach a set of target signal to interference plus noise ratios (SINRs). Depending on the chosen SINR targets, it is shown that the algorithm performs either perfect interference alignment at the receivers or tries to strengthen the useful signal regardless of interference. In a second step, we address the choice of the target SINRs and the complexity issue of the proposed distributed algorithm. We design a semi-distributed coordination algorithm that relies on a power optimization process to choose the best combination of target SINRs and to ensure a fast convergence. The performance of the proposed coordination algorithm in terms of system sum-capacity and complexity are compared to those of minimum leakage interference alignment and MAX-SINR algorithms already existing in the literature.
  • Keywords
    MIMO communication; computational complexity; decorrelation; matrix algebra; optimisation; precoding; radiofrequency interference; wireless channels; SINR; constant MIMO interference channel; coordination algorithm; decorrelation matrices; power control based semi distributed algorithm; power optimization process; precoding matrices; signal-to-interference-plus-noise ratios; system complexity; system sum-capacity; Algorithm design and analysis; Distributed algorithms; Interference channels; MIMO; Receivers; Signal to noise ratio;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wireless Communications and Networking Conference (WCNC), 2013 IEEE
  • Conference_Location
    Shanghai
  • ISSN
    1525-3511
  • Print_ISBN
    978-1-4673-5938-2
  • Electronic_ISBN
    1525-3511
  • Type

    conf

  • DOI
    10.1109/WCNC.2013.6554632
  • Filename
    6554632