Informed Scheduling by Stochastic Residual Belief Propagation in Distributed Wireless Networks
Informed Scheduling by Stochastic Residual Belief Propagation in Distributed Wireless Networks
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DOI：
10.1109/lwc.2014.2376562
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发表时间：
2015-02
影响因子：
6.3
通讯作者：
Panagiotis Agis Oikonomou Filandras;Kai‐Kit Wong;Yangyang Zhang
中科院分区：
文献类型：
--
作者：
Panagiotis Agis Oikonomou Filandras;Kai‐Kit Wong;Yangyang Zhang
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.
