• DocumentCode
    1676282
  • Title

    Efficient SINR fairness algorithm for large distributed multiple-antenna networks

  • Author

    Yichao Huang ; Chee Wei Tan ; Rao, Bhaskar

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of California San Diego, La Jolla, CA, USA
  • fYear
    2013
  • Firstpage
    5026
  • Lastpage
    5030
  • Abstract
    This paper studies the joint beamforming and power control in a multiuser distributed antenna uplink network, wherein the number of users and the number of separately located antennas grow large with ratio being bounded. We consider the SINR fairness problem under individual power constraint and present a distributed iterative algorithm. This algorithm, though converging to the instantaneous optimal solution, requires instantaneous power update. In order to design a low complexity algorithm that achieves optimality in the asymptotic sense, we leverage the large system structure to derive an asymptotic solution requiring only channel statistics. In this algorithm, the asymptotic power is slowly updated and the asymptotic beamformer can be obtained in a non-iterative manner. The convergence property of the proposed algorithm is also studied.
  • Keywords
    antenna arrays; antenna theory; array signal processing; distributed algorithms; iterative methods; power control; statistical analysis; SINR fairness algorithm; asymptotic beamformer; asymptotic power; channel statistics; distributed iterative algorithm; instantaneous optimal solution; instantaneous power update; joint beamforming; large distributed multiple-antenna networks; low complexity algorithm; multiuser distributed antenna uplink network; power constraint; power control; Algorithm design and analysis; Antennas; Array signal processing; Base stations; Convergence; Interference; Signal to noise ratio; Power control; beamforming; large distributed multiple-antenna network; nonlinear Perron-Frobenius theory; random matrix theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech and Signal Processing (ICASSP), 2013 IEEE International Conference on
  • Conference_Location
    Vancouver, BC
  • ISSN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2013.6638618
  • Filename
    6638618