6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications

Research Article

Joint Admission Control for Cooperative Cognitive Radio Networks

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  • @INPROCEEDINGS{10.4108/icst.crowncom.2011.245806,
        author={Jin Lai and Eryk Dutkiewicz and Ren Ping Liu and Rein Vesilo},
        title={Joint Admission Control for Cooperative Cognitive Radio Networks},
        proceedings={6th International ICST Conference on Cognitive Radio Oriented Wireless Networks and Communications},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2012},
        month={5},
        keywords={cognitive radio networks; coooperative; admission control; markov chain},
        doi={10.4108/icst.crowncom.2011.245806}
    }
    
  • Jin Lai
    Eryk Dutkiewicz
    Ren Ping Liu
    Rein Vesilo
    Year: 2012
    Joint Admission Control for Cooperative Cognitive Radio Networks
    CROWNCOM
    ICST
    DOI: 10.4108/icst.crowncom.2011.245806
Jin Lai1,*, Eryk Dutkiewicz1, Ren Ping Liu2, Rein Vesilo1
  • 1: Department of Electronic Engineering, Macquarie University, Sydney, Australia
  • 2: ICT Centre, Commonwealth Scientific and Industrial Research Organization (CSIRO), Sydney, Australia
*Contact email: jin.lai@mq.edu.au

Abstract

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 in SU completion probability and total supported SU traffic intensity by taking advantage of cooperation between CRNs.