Title :
Approaching MIMO capacity using bitwise Markov Chain Monte Carlo detection
Author :
Chen, Rong-Rong ; Peng, Ronghui ; Ashikhmin, Alexei ; Farhang-Boroujeny, Behrouz
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Utah, Salt Lake City, UT, USA
fDate :
2/1/2010 12:00:00 AM
Abstract :
This paper examines near capacity performance of Markov Chain Monte Carlo (MCMC) detectors for multiple-input and multiple-output (MIMO) channels. The proposed MCMC detector (Log-MAP-tb b-MCMC) operates in a strictly bit-wise fashion and adopts Log-MAP algorithm with table look-up. When concatenated with an optimized low-density parity-check (LDPC) code, Log-MAP-tb b-MCMC can operate within 1.2-1.8 dB of the capacity of MIMO systems with 8 transmit/receive antennas at spectral efficiencies up to ¿ = 24 bits/channel use (b/ch). This result improves upon best performance achieved by turbo coded systems using list sphere decoding (LSD) detector by 2.3-3.8 dB, leading to nearly 50% reduction in the capacity gap. Detailed comparisons of the Log-MAP-tb b-MCMC with LSD based detectors demonstrate that MCMC detector is indeed the detector of choice for achieving channel capacity both in terms of performance and complexity.
Keywords :
MIMO communication; Markov processes; Monte Carlo methods; parity check codes; Log-MAP-tb b-MCMC; MIMO capacity; Markov Chain Monte Carlo detection; low-density parity-check code; near capacity performance; transmit/receive antennas; Channel capacity; Concatenated codes; Decoding; Detectors; MIMO; Monte Carlo methods; Parity check codes; Receiving antennas; Transmitting antennas; Turbo codes; MIMO detection, Markov chain Monte Carlo; list sphere decoding, LDPC codes, channel capacity;
Journal_Title :
Communications, IEEE Transactions on
DOI :
10.1109/TCOMM.2010.02.080533