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.
|Title of host publication||2014 Proceedings of the 22nd European Signal Processing Conference (EUSIPCO)|
|Number of pages||5|
|Publication status||Published - Sep 2014|
|Event||22nd European Signal Processing Conference - Lisbon Congress Centre, Lisbon, Portugal|
Duration: 1 Sep 2014 → 5 Sep 2014
Conference number: 2014
|Conference||22nd European Signal Processing Conference|
|Period||1/09/14 → 5/09/14|
- Bayes methods
- belief networks
- radio networks
- pearl algorithm
- multiradio network optimisation
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.