• DocumentCode
    1912961
  • Title

    Pilot clustering in asymmetric massive MIMO networks

  • Author

    Mochaourab, Rami ; Bjornson, Emil ; Bengtsson, Mats

  • Author_Institution
    Signal Process. Dept., KTH R. Inst. of Technol., Stockholm, Sweden
  • fYear
    2015
  • fDate
    June 28 2015-July 1 2015
  • Firstpage
    231
  • Lastpage
    235
  • Abstract
    We consider the uplink of a cellular massive MIMO network. Since the spectral efficiency of these networks is limited by pilot contamination, the pilot allocation across cells is of paramount importance. However, finding efficient pilot reuse patterns is non-trivial especially in practical asymmetric base station deployments. In this paper, we approach this problem using coalitional game theory. Each cell has its own unique pilots and can form coalitions with other cells to gain access to more pilots. We develop a low-complexity distributed algorithm and prove convergence to an individually stable coalition structure. Simulations reveal fast algorithmic convergence and substantial performance gains over one-cell coalitions and full pilot reuse.
  • Keywords
    MIMO communication; convergence; distributed algorithms; game theory; pattern clustering; asymmetric base station deployment; asymmetric massive MIMO network; coalitional game theory; convergence; distributed algorithm; multiple-input multiple-output network; pilot allocation; pilot clustering; pilot contamination; pilot reuse pattern; spectral efficiency; Contamination; Games; Interference; MIMO; Stability analysis; Uplink; Wireless communication;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing Advances in Wireless Communications (SPAWC), 2015 IEEE 16th International Workshop on
  • Conference_Location
    Stockholm
  • Type

    conf

  • DOI
    10.1109/SPAWC.2015.7227034
  • Filename
    7227034