DocumentCode :
3420671
Title :
Analysis of multiple antenna systems with finite-rate feedback using high resolution quantization theory
Author :
Zheng, Jun ; Duni, Ethan ; Rao, Bhaskar D.
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
fYear :
2006
fDate :
28-30 March 2006
Firstpage :
73
Lastpage :
82
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 a 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 square distortion functions, and constrained source vectors. The result of the asymptotic distortion analysis of the proposed general quantization problem is presented, which extends the vector version of Bennett´s integral. Specifically, tight lower and upper bounds on the average asymptotic distortion are proposed. 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, the analysis of a finite-rate feedback MISO beamforming system over i.i.d. Rayleigh flat fading channels is derived. Numerical and simulation results are presented to further confirm the accuracy of the analytical results.
Keywords :
Rayleigh channels; antenna arrays; distortion; feedback; integral equations; vector quantisation; Bennett integral; Rayleigh flat fading channels; asymptotic distortion analysis; beamforming methods; constrained source vectors; finite-rate feedback MISO beamforming system; finite-rate quantized communication system; general fixed-rate vector quantization problem; high resolution quantization theory; multiple antenna systems; nonmean square distortion functions; Antenna feeds; Antenna theory; Array signal processing; Communication systems; Decoding; Fading; Feedback; Transmitting antennas; Upper bound; Vector quantization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Data Compression Conference, 2006. DCC 2006. Proceedings
ISSN :
1068-0314
Print_ISBN :
0-7695-2545-8
Type :
conf
DOI :
10.1109/DCC.2006.6
Filename :
1607242
Link To Document :
بازگشت