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Soft output multiuser detection via a Markov chain Monte Carlo approach

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3 Author(s)
S. Henriksen ; Sch. of Electr. Eng. & Comput. Sci., Newcastle Univ., NSW, Australia ; B. Ninness ; S. R. Weller

This paper investigates the use of computational Bayesian methods for multiuser detection (MUD) of synchronous direct-sequence code-division multiple access (DS-CDMA) systems. The Markov chain Monte Carlo (MCMC) multiuser detection methods proposed in this paper are iterative, and offer near-optimal performance with manageable complexity even at high system loads. Moreover, posterior symbol probabilities produced by the detector are suitable for use as prior probabilities for soft-input channel decoders

Published in:

2005 Australian Communications Theory Workshop

Date of Conference:

2-4 Feb. 2005