• DocumentCode
    3574113
  • Title

    Multi-cell coordinated beamforming and power allocation with large scale MIMO

  • Author

    Yuan Zhou ; Dan Li ; Ang Yang ; Shaozhen Guo

  • Author_Institution
    Sch. of Inf. & Electron., Beijing Inst. of Technol., Beijing, China
  • fYear
    2014
  • Firstpage
    438
  • Lastpage
    442
  • Abstract
    We consider the downlink of a multi-cell network where neighboring base stations with large scale antennas share the spectrum and collaborate with each other to improve the overall network performance. This paper utilizes the zero-forcing (ZF) transmit beamformer, which has been proven as the simplest and optimal form for high SNR in large scale antennas system. The objective of the coordination is to minimize the total transmit power and meanwhile satisfy the quality-of-service (QoS) requirements with the minimum total transmit power. Based on the properties of large scale MIMO and sparse approximate inverse preconditioners (AINV), we propose the approximately optimal algorithm and AINV based algorithm. Numerical simulations demonstrate the performance of proposed strategies.
  • Keywords
    MIMO communication; antenna arrays; array signal processing; numerical analysis; quality of service; AINV; QoS; large scale MIMO; large scale antennas system; multicell coordinated beamforming; multicell network downlink; neighboring base stations; numerical simulations; power allocation; quality of service; sparse approximate inverse preconditioners; total transmit power; zero-forcing transmit beamformer; Antennas; Approximation algorithms; Array signal processing; Interference; MIMO; Resource management; Signal to noise ratio; cooperative communication; coordinated beamforming; large scale MIMO;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Networking in China (CHINACOM), 2014 9th International Conference on
  • Type

    conf

  • DOI
    10.1109/CHINACOM.2014.7054334
  • Filename
    7054334