Title :
Codebook Adaptation for Quantized MIMO Beamforming Systems
Author :
Samanta, Roopsha ; Heath, Robert W.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX
fDate :
Oct. 28 2005-Nov. 1 2005
Abstract :
Quantized multiple-input multiple-output (MIMO) beamforming systems use predesigned codebooks for the quantization of transmit beamforming vectors. The quantized vector, which is conveyed to the transmitter using a low-rate feedback channel, is used for transmission to provide significant diversity and array gain. The codebook for quantization is a function of the channel distribution, and is typically designed for fixed channel distributions. In this paper, we propose a channel adaptive feedback strategy for arbitrary channel distributions, and present a simple codebook design methodology based on the channel statistics. The codebook for quantization is dynamically chosen rom a structured set of pre-designed codebooks, called the code set, wherein all codebooks are derived from one mother codebook. Simulations illustrate that the proposed method can improve error rate performance in correlated and/or channels with strongly line-of-sight components
Keywords :
MIMO systems; channel coding; diversity reception; error statistics; feedback; array gain; channel adaptive feedback strategy; channel distribution; codebook adaptation; codebook design methodology; codebooks; diversity gain; error rate performance; low-rate feedback channel; multiple-input multiple-output; quantized MIMO beamforming systems; Array signal processing; Covariance matrix; Design methodology; Diversity reception; Fading; Feedback; MIMO; Quantization; Statistical distributions; Transmitters;
Conference_Titel :
Signals, Systems and Computers, 2005. Conference Record of the Thirty-Ninth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
Print_ISBN :
1-4244-0131-3
DOI :
10.1109/ACSSC.2005.1599772