• DocumentCode
    1859000
  • Title

    Insights into feedback and feedback signaling for beamformer design

  • Author

    Au-Yeung, Chun Kin ; Jalali, Ali ; Love, David J.

  • Author_Institution
    Sch. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN
  • fYear
    2009
  • fDate
    8-13 Feb. 2009
  • Firstpage
    187
  • Lastpage
    190
  • Abstract
    Multi-site cooperative transmission is gaining industrial support in latest standard development. One key criteria to successfully implement a multi-site cooperative transmission system is the need to quantize an expanded set of channels. To maintain quantization precision, codebook size needs to scale roughly exponentially with the number of total antennas and renders quantizing the expanded channel set a computationally demanding task. In this paper, we identify a connection between noncoherent communication and the phase invariant property of beamforming vectors. We leverage techniques from the noncoherent communication literature to design an efficient beamforming vector quantization scheme. Our proposed scheme has a quantization complexity that grows linearly with number of antennas. Simulation results indicate this method has slightly more quantization distortion than RVQ while being significantly more efficient.
  • Keywords
    array signal processing; channel allocation; telecommunication signalling; vector quantisation; RVQ; beamformer design; beamforming vector quantization scheme; beamforming vectors; codebook size; expanded channel set; feedback signaling; leverage techniques; multisite cooperative transmission; noncoherent communication; phase invariant property; quantization complexity; quantization distortion; quantization precision; AWGN; Array signal processing; Base stations; Decoding; Feedback; Feeds; Maintenance engineering; Signal design; Transmitters; Vector quantization; beamforming vector quantization; efficient vector quantization; trellis coded vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Theory and Applications Workshop, 2009
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-3990-4
  • Type

    conf

  • DOI
    10.1109/ITA.2009.5044944
  • Filename
    5044944