7th International Conference on Cognitive Radio Oriented Wireless Networks

Research Article

Opportunistic Spectrum Access in Cognitive Radio Based on Channel Switching

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  • @INPROCEEDINGS{10.4108/icst.crowncom.2012.248457,
        author={Fakhreddine Gaaloul and Hong-Chuan Yang and Redha Radaydeh and Mohamed-Slim Alouini},
        title={Opportunistic Spectrum Access in Cognitive Radio Based on Channel Switching},
        proceedings={7th International Conference on Cognitive Radio Oriented Wireless Networks},
        publisher={IEEE},
        proceedings_a={CROWNCOM},
        year={2012},
        month={7},
        keywords={spectrum access sensing switching},
        doi={10.4108/icst.crowncom.2012.248457}
    }
    
  • Fakhreddine Gaaloul
    Hong-Chuan Yang
    Redha Radaydeh
    Mohamed-Slim Alouini
    Year: 2012
    Opportunistic Spectrum Access in Cognitive Radio Based on Channel Switching
    CROWNCOM
    IEEE
    DOI: 10.4108/icst.crowncom.2012.248457
Fakhreddine Gaaloul1,*, Hong-Chuan Yang2, Redha Radaydeh3, Mohamed-Slim Alouini3
  • 1: King Abdullah University of Science and Technology (KAUST))
  • 2: University of Victoria
  • 3: King Abdullah University of Science and Technology (KAUST)
*Contact email: fakhreddine.gaaloul@kaust.edu.sa

Abstract

This paper investigates the performance of a cognitive radio transceiver that can monitor multiple channels and opportunistically use any one of them should it be available. In our work, we propose and compare two different opportunistic channel access schemes. The first scheme applies when the secondary user (SU) has access to only one channel. The second scheme applies when the SU has access to multiple channels but can at a given time monitor and access only one channel. Two switching strategies, namely the switch and examine and the switch and stay strategies, are proposed. For these proposed access schemes, we investigate their performance by deriving the analytical expression of the novel metric of the average access duration and the average waiting time and based on these two metrics a time average SU throughput formula is proposed to predict the performance of the secondary cognitive system.