Low complexity vector quantization algorithm for codebook optimization

Author

Bing Hui ; KyungHi Chang

Author_Institution

Grad. Sch. of IT & T, Inha Univ., Incheon, South Korea

fYear

2012

fDate

1-4 April 2012

Firstpage

868

Lastpage

872

Abstract

One of the most attractive research topics about multiple-input multiple-output (MIMO) techniques is interference mitigation with limited feedback. Codebook design based on the vector quantization (VQ) algorithms with less quantization error and computational burden is the key for the codebook based precoding. Novel VQ algorithm is proposed in this paper which needs less execution time and less n umber of iterations to converge than conventional VQ Linde-Buzo-Gray (LBG) algorithm. The discussions and simulation results show that great benefits are achieved by the proposed algorithm.

Keywords

MIMO communication; interference suppression; optimisation; precoding; LBG algorithm; MIMO technique; codebook optimization; conventional VQ Linde-Buzo-Gray algorithm; interference mitigation; low complexity vector quantization algorithm; multiple-input multiple-output technique; precoding; Algorithm design and analysis; MIMO; Optimization; Partitioning algorithms; Simulation; Vector quantization; Vectors; LBG-M; codebook based precoding MIMO; codebook optimization; vector quantization;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference (WCNC), 2012 IEEE

Conference_Location

Shanghai

ISSN

1525-3511

Print_ISBN

978-1-4673-0436-8

Type

conf

DOI

10.1109/WCNC.2012.6214494

Filename

6214494