2015
DOI: 10.1155/2015/672837
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A Two-Dimensional Multiarmed Bandit Approach to Secondary Users with Network Coding in Cognitive Radio Networks

Abstract: We study how to utilize network coding to improve the throughput of secondary users (SUs) in cognitive radio networks (CRNs) when the channel quality is unavailable at SUs. We use a two-dimensional multiarmed bandit (MAB) approach to solve the problem of SUs with network coding under unknown channel quality in CRNs. We analytically prove the asymptotical-throughput optimality of the proposed two-dimensional MAB algorithm. Simulation results show that our proposed algorithm achieves comparable throughput perfor… Show more

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Cited by 2 publications
(1 citation statement)
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“…The main idea is to apply the concept of CR in network coding transmissions, in which BS tries sending new information while helping user transmissions as a relay. Qu et al [14] proposed a study on learning how to use two-dimensional multiarmed bandit (MAB) to use network coding to improve SU throughput in CRNs when channel quality is unavailable at SUs. Qu et al [15] developed an efficient network coding strategy for SUs while considering uncertain idle durations in CRNs.…”
Section: State-of-art Reviewmentioning
confidence: 99%
“…The main idea is to apply the concept of CR in network coding transmissions, in which BS tries sending new information while helping user transmissions as a relay. Qu et al [14] proposed a study on learning how to use two-dimensional multiarmed bandit (MAB) to use network coding to improve SU throughput in CRNs when channel quality is unavailable at SUs. Qu et al [15] developed an efficient network coding strategy for SUs while considering uncertain idle durations in CRNs.…”
Section: State-of-art Reviewmentioning
confidence: 99%