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• W2146428749 abstract "In cognitive radio (CR) networks, TTR, a.k.a. time-to-rendezvous, is one of the most important metrics for evaluating the performance of a channel hopping (CH) rendezvous protocol, and it characterizes the rendezvous delay when two CRs perform channel hopping. There exists a trade-off of optimizing the average or maximum TTR in the CH rendezvous protocol design. On one hand, the random CH protocol leads to the best average TTR without ensuring a finite maximum TTR (two CRs may never rendezvous in the worst case), or a high rendezvous diversity (multiple rendezvous channels). On the other hand, many sequence-based CH protocols ensure a finite maximum TTR (upper bound of TTR) and a high rendezvous diversity, while they inevitably yield a larger average TTR. In this paper, we strike a balance in the average-maximum TTR trade-off for CR rendezvous by leveraging the advantages of both random and sequence-based CH protocols. Inspired by the neighbor discovery problem, we establish a design framework of creating a wake-up schedule whereby every CR follows the sequence-based (or random) CH protocol in the awake (or asleep) mode. Analytical and simulation results show that the hybrid CH protocols under this framework are able to achieve a greatly improved average TTR as well as a low upper-bound of TTR, without sacrificing the rendezvous diversity." @default.
• W2146428749 created "2016-06-24" @default.
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• W2146428749 date "2015-06-01" @default.
• W2146428749 modified "2023-09-27" @default.
• W2146428749 title "Optimizing average-maximum TTR trade-off for cognitive radio rendezvous" @default.
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• W2146428749 doi "https://doi.org/10.1109/icc.2015.7249559" @default.
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