• DocumentCode
    2373690
  • Title

    Interference alignment with cyclic unidirectional cooperation

  • Author

    Nakhai, Mohammad Reza ; Yousafzai, Aimal Khan

  • Author_Institution
    Centre for Telecommun. Res., King´´s Coll. London, London, UK
  • fYear
    2012
  • fDate
    10-15 June 2012
  • Firstpage
    2250
  • Lastpage
    2254
  • Abstract
    Recent results on interference alignment (IA) in a K-user n × n MIMO interference channel, have shown that the ratio of total degrees of freedom d̂ to the single user degrees of freedom varies from d̂/n <; 2 in the case of arbitrary MIMO channels (i.e., channels with no structure) to K/2 in the case of channels with diagonal structure (i.e., channels with time or frequency varying coefficients). These results confirm that the information theoretic upper bound on degrees of freedom with no channel extension can only be achieved for K ≤ 3 with an overwhelming overhead of the global channel knowledge or an extensive number of back-and-forth iterations between the transmitting and the receiving nodes [3]. In this paper, we show that this limit on the number of users can be extended to K ≤ 5 as a result of introducing a partial cooperation into the interference channel. This partial cooperation is such that the message of the kth transmitter or base station (BS) is known to the [k - 1)th transmitter (mod K) and each receiver or user is simultaneously served by two transmitters. We introduce a one-shot algorithm that utilizes the reciprocity of wireless network to achieve interference alignment with no iterations between the transmitting and the receiving nodes when d̂/n ≤ 2. Monte-Carlo simulation results show that the proposed partial cooperation used with the one-shot algorithm can considerably enhance the sum rate in an interference channel system at practical SNR levels as a result of improved spatial multiplexing gain.
  • Keywords
    MIMO communication; Monte Carlo methods; multiplexing; radio transmitters; telecommunication channels; MIMO interference channel; Monte-Carlo simulation; arbitrary MIMO channels; back-and-forth iterations; base station; cyclic unidirectional cooperation; global channel knowledge; interference alignment; kth transmitter; partial cooperation; receiving nodes; spatial multiplexing gain; wireless network; Integrated circuits; Interference channels; MIMO; Receivers; Transmitters; Upper bound; Feasibility; Interference Channel with Cyclic Unidirectional Cooperation; One-Shot Interference Alignment;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications (ICC), 2012 IEEE International Conference on
  • Conference_Location
    Ottawa, ON
  • ISSN
    1550-3607
  • Print_ISBN
    978-1-4577-2052-9
  • Electronic_ISBN
    1550-3607
  • Type

    conf

  • DOI
    10.1109/ICC.2012.6364189
  • Filename
    6364189