• DocumentCode
    77240
  • Title

    Base Station Activation and Linear Transceiver Design for Optimal Resource Management in Heterogeneous Networks

  • Author

    Wei-Cheng Liao ; Mingyi Hong ; Ya-Feng Liu ; Zhi-Quan Luo

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Univ. of Minnesota, Minneapolis, MN, USA
  • Volume
    62
  • Issue
    15
  • fYear
    2014
  • fDate
    Aug.1, 2014
  • Firstpage
    3939
  • Lastpage
    3952
  • Abstract
    In a densely deployed heterogeneous network (HetNet), the number of pico/micro base stations (BS) can be comparable with the number of the users. To reduce the operational overhead of the HetNet, proper identification of the set of serving BSs becomes an important design issue. In this work, we show that by jointly optimizing the transceivers and determining the active set of BSs, high system resource utilization can be achieved with only a small number of BSs. In particular, we provide formulations and efficient algorithms for such joint optimization problem, under the following two common design criteria: i) minimization of the total power consumption at the BSs, and ii) maximization of the system spectrum efficiency. In both cases, we introduce a nonsmooth regularizer to facilitate the activation of the most appropriate BSs. We illustrate the efficiency and the efficacy of the proposed algorithms via extensive numerical simulations.
  • Keywords
    microcellular radio; optimisation; picocellular radio; radio spectrum management; radio transceivers; telecommunication power management; base station activation; heterogeneous networks; joint optimization problem; linear transceiver design; microbase station; nonsmooth regularizer; optimal resource management; picobase station; system spectrum efficiency maximization; total power consumption minimization; Array signal processing; Base stations; Interference; Joints; Quality of service; Signal processing algorithms; Vectors; Alternating Direction Method of Multipliers (ADMM); LASSO; base station selection/clustering; heterogeneous networks; weighted MMSE algorithm;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2014.2331611
  • Filename
    6847222