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
Link To Document :
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