• DocumentCode
    55305
  • Title

    Quantization and Bit Allocation for Channel State Feedback in Relay-Assisted Wireless Networks

  • Author

    Karamad, Ehsan ; Khoshnevis, Behrouz ; Adve, Raviraj S.

  • Author_Institution
    Edwards S. Rogers Sr. Dept. of Electr. & Comput. Eng., Univ. of Toronto, Toronto, ON, Canada
  • Volume
    61
  • Issue
    2
  • fYear
    2013
  • fDate
    Jan.15, 2013
  • Firstpage
    327
  • Lastpage
    339
  • Abstract
    This paper investigates quantization of channel state information (CSI) and bit allocation across wireless links in a multi-source, single-relay cooperative cellular network. Our goal is to minimize the loss in performance, measured as the achievable sum rate, due to limited-rate quantization of CSI. We develop both a channel quantization scheme and allocation of limited feedback bits to the various wireless links. We assume that the quantized CSI is reported to a central node responsible for optimal resource allocation. We first derive tight lower and upper bounds on the difference in rates between the perfect CSI and quantized CSI scenarios. These bounds are then used to derive an effective quantizer for arbitrary channel distributions. Next, we use these bounds to optimize the allocation of bits across the links subject to a budget on total available quantization bits. In particular, we show that the optimal bit allocation algorithm allocates more bits to those links in the network that contribute the most to the sum-rate. Finally, the paper investigates the choice of the central node; we show that this choice plays a significant role in CSI bits required to achieve a target performance level.
  • Keywords
    cellular radio; cooperative communication; feedback; quantisation (signal); CSI; arbitrary channel distributions; bit allocation; channel state feedback; channel state information; multisource cooperative cellular network; quantization; relay-assisted wireless networks; single-relay cooperative cellular network; wireless links; Bit rate; Cooperative systems; Quantization; Receivers; Relays; Resource management; Upper bound; Channel state information; quantization; wireless communication;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2012.2224344
  • Filename
    6329452