Taxonomy and Challenges of Rendezvous Algorithms in Cognitive Radio Networks

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Executive Summary

Cognitive Radio Network (CRN) is a new networking paradigm in which unlicensed users with cognitive radios can opportunistically access idle channels in the spectrum of licensed users without causing interference. Rendezvous is a fundamental and essential operation for unlicensed users to meet and establish a communication link on a common channel, so that information exchange and data communication can be carried out. This paper presents a comprehensive review of existing rendezvous algorithms and a possible taxonomy. The authors focus on the most representative rendezvous algorithms and summarize their characteristics. The paper further highlights research directions of future study on rendezvous.

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