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Joint admission control for cooperative cognitive radio networks

Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.14/164325

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Title: Joint admission control for cooperative cognitive radio networks
Related: International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications (6th : 2011) (1 - 3 June 2011 : Osaka, Japan)
Related: Proceedings of the 2011 6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications, CROWNCOM 2011, p.276-280
DOI: 10.4108/icst.crowncom.2011.245806
Publisher: Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (ICST)
Date: 2011
Author/Creator: Lai, Jin
Author/Creator: Dutkiewicz, Eryk
Author/Creator: Liu, Ren Ping
Author/Creator: Vesilo, Rein
Description: This paper studies the performance of admission control in cognitive radio networks (CRNs). We propose a CRN architecture featuring cooperation among several CRNs in the same geographical area. Joint Admission Control (JAC) enables secondary users (SUs) to have access to the combined spectrum pool of the cooperating CRNs. Three joint admission control schemes are investigated and quantitatively analyzed using continuous-time Markov chain analysis. Analytical results reveal new insights that the channel-aware admission control scheme achieves the lowest blocking probability at the expense of communication overhead for obtaining channel usage information in each CRN while the weighted selection scheme obtains the lowest forced termination probability. Moreover, we quantify the gain of cooperation through performance comparison between Joint Admission Control and separate admission control where SUs are restricted to using only one specific CRN. We demonstrate that JAC can achieve significant performance improvement.
Description: 5 page(s)
Resource Type: conference paper
Organisation: Macquarie University. Dept. of Electronic Engineering

Identifier: http://hdl.handle.net/1959.14/164325
Identifier: ISBN:9781936968190
Identifier: mq_res-ext-2-s2.0-80054770347
Language: eng
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