2009
DOI: 10.1016/j.adhoc.2009.01.001
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CRAHNs: Cognitive radio ad hoc networks

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Cited by 1,162 publications
(704 citation statements)
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References 70 publications
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“…We consider a Cognitive Radio Ad-Hoc Network, which is composed of a set of PR nodes and a set of CR nodes [8]. In this type of network setting, we assume that no centralized network entity is available.…”
Section: System Model and Assumptionsmentioning
confidence: 99%
“…We consider a Cognitive Radio Ad-Hoc Network, which is composed of a set of PR nodes and a set of CR nodes [8]. In this type of network setting, we assume that no centralized network entity is available.…”
Section: System Model and Assumptionsmentioning
confidence: 99%
“…1 TTR is an amount of time, measured in slots, within which cognitive radios meet each other once they began hopping, or after the last rendezvous on a channel. 2 Visiting unavailable channels is the most frequently used approaches while dealing with ACHv in the related work (e.g., [18,22]). …”
Section: Related Workmentioning
confidence: 99%
“…However, these tasks are not feasible in a CR environment without any imposed assumptions, since CR nodes can have a different view of the channels occupied by incumbents and/or other secondary users. Another issue that arises Moreover, in Cognitive Radio Ad Hoc Networks (CRANs), the dynamic network topology, distributed multi-hop architecture, and time and location varying spectrum availability are the key factors [2]. Each Cognitive Radio (CR) user has a different spectrum availability according to the incumbent (Primary User, PU) activity, and it determines its actions based on its local observation.…”
Section: Introductionmentioning
confidence: 99%
“…Typically, local sensing for primary signal detection can be formulated as a binary hypothesis problem as follows [14]:…”
Section: A Cooperative Spectrum Sensingmentioning
confidence: 99%