2018 15th Annual IEEE International Conference on Sensing, Communication, and Networking (SECON) 2018
DOI: 10.1109/sahcn.2018.8397135
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How Local Information Improves Rendezvous in Cognitive Radio Networks

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Cited by 8 publications
(2 citation statements)
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“…When the available channels of a user is a subset of the N channels, the period of our ORTHO-CH sequence is (2p + 1)p, where p is the smallest prime not less than N . Thus, ORTHO-CH has the MTTR bound (2p + 1)p. Such a result is comparable to the best algorithms in the literature, e.g., FRCH [11] with the MTTR bound (2N + 1)N for N = ((5 + 2α) * r − 1)/2 for all integer α ≥ 0 and odd integer r ≥ 3, and SRR [12] with the MTTR bound 2p 2 + 2p.…”
Section: Introductionsupporting
confidence: 67%
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“…When the available channels of a user is a subset of the N channels, the period of our ORTHO-CH sequence is (2p + 1)p, where p is the smallest prime not less than N . Thus, ORTHO-CH has the MTTR bound (2p + 1)p. Such a result is comparable to the best algorithms in the literature, e.g., FRCH [11] with the MTTR bound (2N + 1)N for N = ((5 + 2α) * r − 1)/2 for all integer α ≥ 0 and odd integer r ≥ 3, and SRR [12] with the MTTR bound 2p 2 + 2p.…”
Section: Introductionsupporting
confidence: 67%
“…For ORTHO-CH, such replacements can be chosen randomly. In comparison with the Sequence-Rotating-Rendezvous (SRR) algorithm in [12], our ORTHO-CH sequence reduces the MTTR from 2p 2 + 2p to (2p + 1)p. Both constructions are similar in the sense that they both are based on the two mathematical properties of orthogonal MACH matrices (and thus the proofs are also similar). The key difference is that the ORTHO-CH sequence is periodic while the SRR sequence is not.…”
Section: B From Orthogonal Mach Matrices To Asynchronous Ch Sequencesmentioning
confidence: 99%