Soft output multiuser detection via a Markov chain Monte Carlo approach
conference contribution
posted on 2025-05-10, 12:38 authored by Soren Henriksen, Brett Ninness, Steven WellerSteven WellerThis 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.
History
Source title
Proceedings of the 6th Australian on Communications Theory Workshop, 2005Name of conference
6th Australian on Communications Theory Workshop, 2005Location
Brisbane, Qld.Start date
2005-02-02End date
2005-02-04Pagination
229-235Publisher
Institute of Electrical and Electronics Engineers (IEEE)Place published
Piscataway, NJLanguage
- en, English
College/Research Centre
Faculty of Engineering and Built EnvironmentSchool
School of Electrical Engineering and Computer ScienceRights statement
Copyright © 2005 IEEE. Reprinted from Proceedings of the 6th Australian on Communications Theory Workshop, 2005, p. 229-235. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Newcastle's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.Usage metrics
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