• DocumentCode
    1759164
  • Title

    Leakage-based distributed minimum-mean-square error beamforming for relay-assisted cloud radio access networks

  • Author

    Zesong Fei ; Chengwen Xing ; Na Li ; Dalin Zhu ; Ming Lei

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • Volume
    8
  • Issue
    11
  • fYear
    2014
  • fDate
    July 24 2014
  • Firstpage
    1883
  • Lastpage
    1891
  • Abstract
    In this study, the authors investigate the linear minimum-mean-square-error beamforming design for relay-assisted cloud radio access network (C-RAN). A standard C-RAN architecture separates baseband processing units and wireless radio units in order to save energy cost. To further enhance network coverage, several relay nodes (RNs) are also deployed. Regrading the per-antenna power constraints at both of the remote radio heads (RRHs) and the RNs in the author´s work the beamforming matrices at the RRHs and RNs are `jointly´ optimised for the considered relay assisted C-RAN. The considered optimisation problem is a non-convex and multiple variable optimisation problem which is in general very hard to solve. In order to make the design suitable for large scale networks exploiting to the problem structure a novel two stage decomposition algorithms are proposed. Finally, a detailed mean-square-error performance comparison is given by the simulations.
  • Keywords
    array signal processing; mean square error methods; optimisation; radio access networks; baseband processing units; beamforming matrices; leakage-based distributed minimum-mean-square error beamforming; linear minimum-mean-square-error beamforming design; mean-square-error performance; multiple variable optimisation problem; novel two stage decomposition algorithms; optimisation problem; per-antenna power constraints; relay nodes; relay-assisted cloud radio access networks; remote radio heads; standard C-RAN architecture; wireless radio units;
  • fLanguage
    English
  • Journal_Title
    Communications, IET
  • Publisher
    iet
  • ISSN
    1751-8628
  • Type

    jour

  • DOI
    10.1049/iet-com.2013.0905
  • Filename
    6855935