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.
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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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