Title :
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
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;
Conference_Titel :
Signal Processing Advances in Wireless Communications, 2005 IEEE 6th Workshop on
Print_ISBN :
0-7803-8867-4
DOI :
10.1109/SPAWC.2005.1505917
