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Computer Science > Networking and Internet Architecture

arXiv:1502.03469 (cs)
[Submitted on 11 Feb 2015]

Title:Optimizing Average-Maximum TTR Trade-off for Cognitive Radio Rendezvous

Authors:Lin Chen, Shuyu Shi, Kaigui Bian, Yusheng Ji
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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.
Comments: Accepted by IEEE International Conference on Communications (ICC 2015, this http URL)
Subjects: Networking and Internet Architecture (cs.NI)
Cite as: arXiv:1502.03469 [cs.NI]
  (or arXiv:1502.03469v1 [cs.NI] for this version)
  https://doi.org/10.48550/arXiv.1502.03469
Related DOI: https://doi.org/10.1109/ICC.2015.7249559

Submission history

From: Lin Chen [view email]
[v1] Wed, 11 Feb 2015 22:06:22 UTC (178 KB)
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