• DocumentCode
    745973
  • Title

    Analysis of Multiple-Antenna Systems With Finite-Rate Feedback Using High-Resolution Quantization Theory

  • Author

    Zheng, Jun ; Duni, Ethan R. ; Rao, Bhaskar D.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA
  • Volume
    55
  • Issue
    4
  • fYear
    2007
  • fDate
    4/1/2007 12:00:00 AM
  • Firstpage
    1461
  • Lastpage
    1476
  • Abstract
    This paper considers the development of a general framework for the analysis of transmit beamforming methods in multiple-antenna systems with finite-rate feedback. Inspired by the results of classical high-resolution quantization theory, the problem of finite-rate quantized communication system is formulated as a general fixed-rate vector quantization problem with side information available at the encoder (or the quantizer) but unavailable at the decoder. The framework of the quantization problem is sufficiently general to include quantization schemes with general non-mean-squared distortion functions and constrained source vectors. Asymptotic distortion analysis of the proposed general quantization problem is provided by extending the vector version of the Bennett´s integral. Specifically, tight lower and upper bounds of the average asymptotic distortion are proposed. Sufficient conditions for the achievability of the distortion bounds are also provided and related to corresponding classical fixed-rate quantization problems. The proposed general methodology provides a powerful analytical tool to study a wide range of finite-rate feedback systems. To illustrate the utility of the framework, we consider the analysis of a finite-rate feedback multiple-input single-output (MISO) beamforming system over independent and identically distributed (i.i.d.) Rayleigh flat-fading channels. Numerical and simulation results are presented that further confirm the accuracy of the analytical results
  • Keywords
    Rayleigh channels; antenna arrays; array signal processing; decoding; quantisation (signal); signal resolution; MISO; asymptotic distortion analysis; constrained source vectors; decoder; finite-rate feedback; finite-rate quantized communication system; fixed-rate vector quantization; high-resolution quantization theory; independent and identically distributed Rayleigh flat-fading channels; multiple-antenna systems; multiple-input single-output beamforming system; non-mean-squared distortion functions; transmit beamforming methods; Algorithm design and analysis; Array signal processing; Channel state information; Fading; Feedback; Information analysis; MIMO; Receiving antennas; Transmitters; Vector quantization; Bennett´s integral; CSI feedback; capacity analysis; channel quantization; constrained source; distortion analysis; encoder side information; finite-rate feedback; general distortion metric; high-resolution quantization theory; imperfect CSIT; multiple-input multiple-output (MIMO); transmit precoding; vector quantization;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2006.889407
  • Filename
    4133055