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ICC
2009
IEEE

Markov Chain Monte Carlo Detection Methods for High SNR Regimes

9 years 4 days ago
Markov Chain Monte Carlo Detection Methods for High SNR Regimes
—Statistical detectors that are based on Markov chain Monte Carlo (MCMC) simulators have emerged as promising low-complexity solutions to both multiple-input multipleoutput (MIMO) and code division multiple access (CDMA) communication systems. While these types of detectors achieve unprecedented near capacity performance, i.e., when operated in low signal-to-noise ratio (SNR) regime, they exhibit a serious problem at medium to high SNR regimes, referred to as the “stalling” problem. In this paper, we investigate the sources of this degradation and propose a new search strategy called constrained MCMC to remedy the issue of stalling.
Salam Akoum, Ronghui Peng, Rong-Rong Chen, Behrouz
Added 21 May 2010
Updated 21 May 2010
Type Conference
Year 2009
Where ICC
Authors Salam Akoum, Ronghui Peng, Rong-Rong Chen, Behrouz Farhang-Boroujeny
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