• DocumentCode
    177555
  • Title

    Joint power allocation, base station assignment and beamformer design for an uplink SIMO heterogeneous network

  • Author

    Jingran Lin ; Yubai Li ; Qicong Peng

  • Author_Institution
    Dept. of Commun. Eng., Univ. of Electron. Sci. & Technol. of China, Chengdu, China
  • fYear
    2014
  • fDate
    4-9 May 2014
  • Firstpage
    434
  • Lastpage
    438
  • Abstract
    Consider the max-min problem for an uplink SIMO heterogeneous network, where the base stations (BS) are coordinated dynamically for joint reception under some backhaul overhead constraints. We formulate this problem in the perspective of joint power allocation, BS assignment and beamformer design, and develop an efficient algorithm based on alternating optimization. In particular, we transfer the joint BS assignment and beamformer design subproblem into a group LASSO problem by applying the alternating direction method of multipliers (ADMM). Consequently, the problem is solved in a partially distributed manner and in each iteration a simple closed-form solution is derived. Numerical simulations demonstrate the effectiveness and efficiency of the proposed algorithm.
  • Keywords
    MIMO communication; array signal processing; iterative methods; minimax techniques; numerical analysis; radio reception; ADMM; BS assignment; alternating direction method of multiplier; backhaul overhead constraint; base station assignment; beamformer design subproblem; closed-form solution; group LASSO problem; iteration method; joint power allocation; max-min problem; numerical simulation; radio reception; uplink SIMO heterogeneous network; Distributed algorithms; Interference; Joints; Optimization; Resource management; Signal processing; Uplink; Alternating direction method; Base station assignment; Beamformer; Max-min; SIMO heterogeneous network;
  • 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.2014.6853633
  • Filename
    6853633