• DocumentCode
    179822
  • Title

    Performance analysis of distributed cooperation under uncoordinated network interference

  • Author

    Pappas, Nikolaos ; Kountouris, Marios

  • Author_Institution
    Dept. of Telecommun., Supelec, Gif-sur-Yvette, France
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    6181
  • Lastpage
    6185
  • Abstract
    Managing interference is a major technical challenge in large wireless networks. Distributed cooperation techniques, such as Interference Alignment (IA), exploit the available spatial degrees of freedom of the interference channel holding promise of enhanced spectral efficiency. Most prior results, however, consider isolated network settings, neglecting the interference from nodes that are not participating in the cooperation scheme. This paper analyzes the performance of IA in the presence of uncoordinated interference from a heterogeneous network. Specifically, we analyze perfect downlink IA in a fixed-size cell, where the interfering nodes are distributed according to a spatial point process, and compare it with a non-cooperative MIMO scheme. Furthermore, the performance gains by using a guard zone between the IA cluster and the interference field are evaluated and design guidelines for the necessary isolation distance from out-of-cluster interferers are provided.
  • Keywords
    MIMO communication; cooperative communication; radiofrequency interference; cooperation scheme; distributed cooperation performance analysis; fixed-size cell; interference alignment; isolated network settings; noncooperative MIMO scheme; spatial point process; stochastic geometry; uncoordinated network interference; wireless networks; Approximation methods; Downlink; Geometry; Heating; Interference; MIMO; Receivers; Interference Alignment; distributed cooperation; stochastic geometry;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on
  • Conference_Location
    Florence
  • Type

    conf

  • DOI
    10.1109/ICASSP.2014.6854792
  • Filename
    6854792