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We derive a Markov chain Monte Carlo algorithm for data detection in multi-antenna systems. The proposed algorithm is based on the Rao-Blackwellization principle, and is parameterized by a value eta that can be interpreted as a system temperature. We demonstrate by simulations that systems with increased temperature (eta>1) significantly outperform the straightforward choice of eta=1. Due to its...
MIMO systems with large number (tens) of antennas are getting increased attention. In particular, low-complexity near-optimal detection in such large-MIMO systems has been an interesting topic of recent research. In this context, our new contributions in this paper are two-fold. First, we propose a variant of Markov chain Monte Carlo (MCMC) algorithm which i) alleviates the stalling problem encountered...
In this paper we analyze generalized type-II hybrid ARQ procedure using rate-punctured convolutional (RCPC) codes for balanced, unbalanced, and correlated MIMO orthogonal STBC systems with Rayleigh propagation. Parameters of the corresponding finite state Markov chain (FSMC) model are derived using an SNR partition method based on equal-state duration. Analytical results for throughput and packet...
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...
In this paper, we present an overview of recent work on the applications of Markov Chain Monte Carlo (MCMC) techniques to both multiple-input and multiple-output (MIMO) detection and channel equalization. In the setting of MIMO detection, we have shown that, even for very large antenna systems with high spectral efficiencies of 24 bits/channel use (8 transmit and 8 receive antennas with 64 QAM modulation),...
In this paper, we propose a novel hybrid QRD- MCMC MIMO detector that combines the features of a QRD-M detector and a Markov chain Monte Carlo (MCMC) detector. The QRD-M algorithm is applied first to obtain initial estimates of the transmitted signal vector. Subsequently, the QRD-M estimate is used to initialize one of the Gibbs samplers for MCMC detection. The MCMC detection reduces the M parameter...
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