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Informed Scheduling by Stochastic Residual Belief Propagation in Distributed Wireless Networks

Oikonomou-Filandras, P-A; Wong, K-K; Zhang, Y; (2015) Informed Scheduling by Stochastic Residual Belief Propagation in Distributed Wireless Networks. IEEE Wireless Communications Letters , 4 (1) pp. 90-93. 10.1109/LWC.2014.2376562. Green open access

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Abstract

This letter devises a novel algorithm for cooperative spectrum sensing based on belief propagation (BP) for distributed wireless networks. The algorithm, called stochastic residual belief propagation (SR-BP), extends the use of residual belief propagation (R-BP) to distributed networks, improving the accuracy, convergence rate, and communication cost for cooperative spectrum sensing. We demonstrate that SR-BP converges to a unique fixed point under conditions similar to those ensuring convergence of asynchronous BP. Then, we develop a way to derive a probability distribution from the residual of each message. Finally, we provide numerical results to showcase the improvements in convergence speed, message overhead and detection accuracy of SR-BP.

Type: Article
Title: Informed Scheduling by Stochastic Residual Belief Propagation in Distributed Wireless Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/LWC.2014.2376562
Publisher version: http://dx.doi.org/10.1109/LWC.2014.2376562
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1471394
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