Title :
Soft output multiuser detection via a Markov chain Monte Carlo approach
Author :
Henriksen, Soren ; Ninness, Brett ; Weller, Steven R.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Newcastle Univ., NSW
Abstract :
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
Keywords :
Bayes methods; Markov processes; Monte Carlo methods; code division multiple access; computational complexity; iterative methods; multiuser detection; spread spectrum communication; DS-CDMA; Markov chain Monte Carlo approach; computational Bayesian methods; posterior symbol probabilities; soft output multiuser detection; soft-input channel decoders; synchronous direct-sequence code-division multiple access; Detectors; Iterative methods; Monte Carlo methods; Multiaccess communication; Multiuser detection; Parameter estimation; Sampling methods; Statistics;
Conference_Titel :
Communications Theory Workshop, 2005. Proceedings. 6th Australian
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7803-9007-5
DOI :
10.1109/AUSCTW.2005.1624256
