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A Reduced-State-Space Markov Chain Monte Carlo Method for Iterative Spatial Multiplexing MIMO

Zhao, Ming; Shi, Zhenning; Reed, Mark


Markov Chain Monte Carlo (MCMC) method applied as Multiple-Input-Multiple- Output (MIMO) detector has shown near capacity performance. However, the conventional MCMC method suffers from an error floor in the high signal-to-noise (SNR) region. This paper proposes a novel robust reduced-state- space MCMC (RSS-MCMC) method, which utilizes the a priori information for the first time to qualify the reliable decoded bits from the entire signal space. The new robust MCMC method is developed to deal...[Show more]

CollectionsANU Research Publications
Date published: 2009
Type: Conference paper
Source: Proceedings of IEEE Global Communications Conference, Exhibition & Industry Forum (GLOBECOM 2009)
DOI: 10.1109/GLOCOMW.2009.5360771


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