Multi-radio network optimisation using Bayesian belief propagation
McGuire, Colin and Weiss, Stephan; (2014) Multi-radio network optimisation using Bayesian belief propagation. In: 2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO). IEEE, PRT, pp. 421-425. ISBN 978-0-9928626-1-9
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Abstract
In this paper we show how 5 GHz and “TV White Space” wireless networks can be combined to provide fixed access for a rural community. Using multiple technologies allows the advantages of each to be combined to overcome individual limitations when assigning stations between networks. Specifically, we want to maximise throughput under the constraint of satisfying both the desired individual station data rate and the transmit power within regulatory limits. For this optimisation, we employ Pearl's algorithm, a Bayesian belief propagation implementation, which is informed by statistics drawn from network trials on Isle of Tiree with 100 households. The method confirms results obtained with an earlier deterministic approach.
ORCID iDs
McGuire, Colin and Weiss, Stephan ORCID: https://orcid.org/0000-0002-3486-7206;-
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Item type: Book Section ID code: 53360 Dates: DateEventSeptember 2014PublishedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 12 Jun 2015 14:21 Last modified: 11 Nov 2024 15:00 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/53360