• DocumentCode
    3588068
  • Title

    Beamforming-based spatial precoding in FDD massive MIMO systems

  • Author

    Ming-Fu Tang ; Meng-Ying Lee ; Borching Su ; Chia-Pang Yen

  • Author_Institution
    Grad. Inst. of Commun. Eng., Nat. Taiwan Univ., Taipei, Taiwan
  • fYear
    2014
  • Firstpage
    2073
  • Lastpage
    2077
  • Abstract
    In order to enable frequency-division duplex (FDD) massive multiple-input-multiple-output (MIMO) systems, a beam-grouping, precoding and feedback scheme is proposed to reduce the downlink training overhead and channel state information (CSI) feedback overhead. When the number of transmit antennas on a base station (BS) is growing large, the downlink training overhead for CSI estimation and the CSI feedback overhead are growing tremendously. In addition to the downlink training overhead, simulation results show that the proposed method is able to reduce the feedback overhead without sacrificing the downlink achievable information rate (AIR). Furthermore, the proposed method has a lower computation complexity comparing with other methods in the recent literature.
  • Keywords
    MIMO communication; array signal processing; channel estimation; computational complexity; feedback; precoding; transmitting antennas; wireless channels; AIR; BS; CSI estimation; CSI feedback overhead reduction; FDD massive MIMO system; achievable information rate; base station; beamforming-based spatial precoding; channel state information feedback overhead reduction; computation complexity; downlink training overhead reduction; frequency division duplex massive multiple input multiple output system; transmit antenna; Antennas; Channel estimation; Downlink; MIMO; Niobium; OFDM; Training;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2014 48th Asilomar Conference on
  • Print_ISBN
    978-1-4799-8295-0
  • Type

    conf

  • DOI
    10.1109/ACSSC.2014.7094838
  • Filename
    7094838