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• W2137226580 abstract "Statistical detectors that are based on Markov chain Monte Carlo (MCMC) simulators have emerged as promising low-complexity solutions to both multiple-input multiple-output (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." @default.
• W2137226580 created "2016-06-24" @default.
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• W2137226580 date "2009-06-01" @default.
• W2137226580 modified "2023-09-27" @default.
• W2137226580 title "Markov Chain Monte Carlo Detection Methods for High SNR Regimes" @default.
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• W2137226580 doi "https://doi.org/10.1109/icc.2009.5199166" @default.
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