Multi-radio network optimisation using Bayesian belief propagation

Colin McGuire, Stephan Weiss

Research output: Chapter in Book/Report/Conference proceedingChapter (peer-reviewed)

3 Citations (Scopus)
59 Downloads (Pure)

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.
Original languageEnglish
Title of host publication2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO)
PublisherIEEE
Pages421-425
Number of pages5
ISBN (Print)978-0-9928626-1-9
Publication statusPublished - Sep 2014
Event22nd European Signal Processing Conference - Lisbon Congress Centre, Lisbon, Portugal
Duration: 1 Sep 20145 Sep 2014
Conference number: 2014

Conference

Conference22nd European Signal Processing Conference
Abbreviated titleEUSIPCO
CountryPortugal
CityLisbon
Period1/09/145/09/14

Keywords

  • Bayes methods
  • belief networks
  • radio networks
  • pearl algorithm
  • multiradio network optimisation

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  • Cite this

    McGuire, C., & Weiss, S. (2014). Multi-radio network optimisation using Bayesian belief propagation. In 2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO) (pp. 421-425). IEEE.