MMSE soft-interference-cancellation aided MCMC detection for MIMO systems

Author

Xiao, Ke ; Su, Mingchao ; Guo, Shujun

Author_Institution

Coll. of Inf. Eng., North China Univ. of Technol., Beijing, China

fYear

2009

fDate

21-23 Oct. 2009

Firstpage

2107

Lastpage

2110

Abstract

A novel MCMC detection algorithm in MEMO systems is proposed. The Gibbs samples are initialized through a new way after integrating the Minimum Mean Square Error soft-interference-cancellation (SIC-MMSE) algorithm and the convergence of the Markov chain is accelerated. Comparison with the conventional MCMC algorithm shows the novel algorithm performs better with equal number of Gibbs samples, that is, equal complexity. It is proved that our proposed SIC-MMSE-aided MCMC algorithm has superior performance.

Keywords

MIMO communication; Markov processes; Monte Carlo methods; least mean squares methods; Gibbs samples; MCMC detection; MIMO systems; MMSE soft-interference-cancellation; Markov chain; minimum mean square error; Constellation diagram; Decoding; Detection algorithms; Detectors; Forward error correction; MIMO; Monte Carlo methods; Receiving antennas; Signal generators; Transmitting antennas; Minimum Mean Square Error (MMSE); Monte Carlo Markov Chain (MCMC); multiple-input multiple-output (MIMO); soft-interference-cancellation (SIC);

fLanguage

English

Publisher

ieee

Conference_Titel

Industrial Engineering and Engineering Management, 2009. IE&EM '09. 16th International Conference on

Conference_Location

Beijing

Print_ISBN

978-1-4244-3671-2

Electronic_ISBN

978-1-4244-3672-9

Type

conf

DOI

10.1109/ICIEEM.2009.5344250

Filename

5344250