MIMO Detection Using Markov Chain Monte Carlo Techniques for Near-capacity Performance

Abstract

In this paper, we develop a new soft-in soft-out (SISO) multiple-input multiple-output (MIMO) detection algorithm using the Markov chain Monte Carlo (MCMC) simulation techniques and study its performance when applied to a MIMO communication system. Comparison with the best MIMO detection algorithm in the current literature, sphere decoding, shows that the proposed detection algorithm can improve the gap between the present results and the capacity by as much as 2 dB.