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ICC
2009
IEEE

Markov Chain Monte Carlo Detection Methods for High SNR Regimes

10 years 11 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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