• DocumentCode
    2807969
  • Title

    Enhanced trellis based vector quantization for coordinated beamforming

  • Author

    Yeung, Chun Kin Au ; Sanayei, Shahab

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Purdue Univ., West Lafayette, IN, USA
  • fYear
    2010
  • fDate
    14-19 March 2010
  • Firstpage
    3266
  • Lastpage
    3269
  • Abstract
    Trellis-based quantization is a suitable method for reporting channel state information in multi base-station or base-station-relay coordinated transmission schemes. Due to different path loss and shadowing from each transmitting station, the receiver experiences different long-term average signal powers from each transmitter. We first propose to use a tail-biting trellis to improve the performance of the vector quantization proposed in. To reduce decoding complexity, we present a trellis labeling technique where efficient encoding and decoding can be performed by traversing the trellis twice. Lastly, we introduce a mechanism for dynamically allocating quantization bits amongst different parts of the augmented channel state vector. A trellis simplification procedure that keeps the number of trellis states at each stage to four is shown to provide a satisfactory performance.
  • Keywords
    array signal processing; decoding; trellis codes; vector quantisation; augmented channel state vector; base-station-relay coordinated transmission schemes; channel state information; coordinated beamforming; decoding complexity; dynamically allocating quantization bits; long-term average signal powers; multi base-station; path loss; path shadowing; tail-biting trellis; transmitting station; trellis based vector quantization; trellis labeling technique; trellis simplification procedure; Array signal processing; Decoding; Feedback; Labeling; MIMO; Propagation losses; Shadow mapping; Space technology; Transmitters; Vector quantization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics Speech and Signal Processing (ICASSP), 2010 IEEE International Conference on
  • Conference_Location
    Dallas, TX
  • ISSN
    1520-6149
  • Print_ISBN
    978-1-4244-4295-9
  • Electronic_ISBN
    1520-6149
  • Type

    conf

  • DOI
    10.1109/ICASSP.2010.5496042
  • Filename
    5496042