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GLOBECOM
2007
IEEE

Markov Chain Monte Carlo MIMO Detection Methods for High Signal-to-Noise Ratio Regimes

9 years 23 days ago
Markov Chain Monte Carlo MIMO Detection Methods for High Signal-to-Noise Ratio Regimes
— Markov Chain Monte Carlo methods have recently been applied as front-end detectors in multipleinput multiple-output (MIMO) communication systems. Moreover, the near capacity behavior of such detectors in low signal-to-noise ratio (SNR) regimes have been demonstrated through computer simulations. However, it has also been found that the MCMC MIMO detectors degrade in high SNR regimes. This paper investigates into the source of this degradation and proposes a number of ad hoc methods to resolve this undesirable behavior of the MCMC MIMO detectors. Keywords—Markov chain Monte Carlo, MIMO communications, Turbo detection
Xuehong Mao, Peiman Amini, Behrouz Farhang-Borouje
Added 02 Jun 2010
Updated 02 Jun 2010
Type Conference
Year 2007
Where GLOBECOM
Authors Xuehong Mao, Peiman Amini, Behrouz Farhang-Boroujeny
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