The University of Southampton
University of Southampton Institutional Repository

Simulated annealing based multiuser detection for synchronous SDMA system

Xia, Jinhuan, Lv, Tiejun, Yun, Xiang, Su, Xinghui and Yang, Shaoshi (2008) Simulated annealing based multiuser detection for synchronous SDMA system At 11th IEEE Singapore International Conference on Communication Systems (IEEE ICCS 2008), China. 19 - 21 Nov 2008. , pp. 441-445. (doi:10.1109/ICCS.2008.4737222).

Record type: Conference or Workshop Item (Paper)

Abstract

In this treatise, a novel Simulated Annealing (SA) based Multi-User Detection (MUD) is proposed in synchronous Space Division Multiple Access (SDMA) system. SA MUD modifies experiential Cooling Schedule (CS) of traditional SA algorithm according to its use in MUD. Moreover, in order to ensure sufficient diversity acquired in the whole Markov chain and to prevent from being trapped at local optima, Uniform Mutation (UM) based trial vector generation scheme is brought forward. In addition, the optimal solution recording scheme is also invoked in case of being lost during cooling process. Simulation results illustrate that in comparison with Genetic Algorithm (GA) MUD in the same simulation conditions, without turbo processing and soft-information, SA MUD proposed in this paper performs better, approaching the performance of Maximum Likelihood (ML) MUD and imposes lower complexity.

PDF sa_mud.pdf - Version of Record
Download (149kB)

More information

Published date: November 2008
Venue - Dates: 11th IEEE Singapore International Conference on Communication Systems (IEEE ICCS 2008), China, 2008-11-19 - 2008-11-21
Keywords: simulated annealing, multiuser detection, MUD, sdma, mimo detection
Organisations: Southampton Wireless Group

Identifiers

Local EPrints ID: 272120
URI: http://eprints.soton.ac.uk/id/eprint/272120
PURE UUID: eb569a95-e2ea-44f6-9f95-c297239c8252

Catalogue record

Date deposited: 26 Mar 2011 04:38
Last modified: 18 Jul 2017 06:34

Export record

Altmetrics

Contributors

Author: Jinhuan Xia
Author: Tiejun Lv
Author: Xiang Yun
Author: Xinghui Su
Author: Shaoshi Yang

University divisions

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×