Capacity-approaching LDPC codes based on Markov Chain Monte Carlo MIMO detection

Author

Chen, Rong-Rong ; Farhang-Boroujeny, Behrouz ; Ashikhmin, Alexei

Author_Institution

Dept. of Electr. & Comput. Eng., Utah Univ., Salt Lake City, UT, USA

fYear

2005

fDate

5-8 June 2005

Firstpage

285

Lastpage

288

Abstract

In this work we study joint code design and MIMO (multiple-input multiple-output) detection based on Markov Chain Monte Carlo (MCMC) approach. The extrinsic information transfer (EXIT) technique is applied to find optimal irregular LDPC codes that are matched to the characteristics of the MCMC detector. For a large system of 8 transmit and 8 receive antennas and 16 QAM modulation, the optimized LDPC code achieves within 1.4 dB of the channel capacity. This result improves best published results by 2.3 dB, where 1.3 dB is due to the MCMC detection and 1 dB is due to code optimization.

Keywords

MIMO systems; Markov processes; Monte Carlo methods; antenna arrays; channel capacity; channel coding; parity check codes; quadrature amplitude modulation; receiving antennas; signal detection; transmitting antennas; 16 QAM; EXIT technique; LDPC code; MCMC detection; MIMO detection; Markov Chain Monte Carlo approach; channel capacity; code optimization; extrinsic information transfer; low density parity check code; multiple-input multiple-output; quadrature amplitude modulation; receiving antenna; transmitting antenna; AWGN; Channel capacity; Detectors; MIMO; Monte Carlo methods; Parity check codes; Quadrature amplitude modulation; Rayleigh channels; Receiving antennas; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Signal Processing Advances in Wireless Communications, 2005 IEEE 6th Workshop on

Print_ISBN

0-7803-8867-4

Type

conf

DOI

10.1109/SPAWC.2005.1505917

Filename

1505917