Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers

Research Article

Secondary User Selection in Cooperative Sensing Scheduling: A Spectrum Opportunity-Energy Tradeoff View

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  • @INPROCEEDINGS{10.1007/978-3-642-30493-4_39,
        author={Xiangxia Sun and Tengyi Zhang and Danny Tsang},
        title={Secondary User Selection in Cooperative Sensing Scheduling: A Spectrum Opportunity-Energy Tradeoff View},
        proceedings={Wireless Internet. 6th International ICST Conference, WICON 2011, Xi’an, China, October 19-21, 2011, Revised Selected Papers},
        proceedings_a={WICON},
        year={2012},
        month={10},
        keywords={cognitive radio cooperative sensing scheduling opportunity-energy tradeoff energy efficiency},
        doi={10.1007/978-3-642-30493-4_39}
    }
    
  • Xiangxia Sun
    Tengyi Zhang
    Danny Tsang
    Year: 2012
    Secondary User Selection in Cooperative Sensing Scheduling: A Spectrum Opportunity-Energy Tradeoff View
    WICON
    Springer
    DOI: 10.1007/978-3-642-30493-4_39
Xiangxia Sun1,*, Tengyi Zhang1,*, Danny Tsang1,*
  • 1: The Hong Kong University of Science and Technology
*Contact email: sunie@ust.hk, zhangty@ust.hk, eetsang@ust.hk

Abstract

Cognitive Radio (CR) is regarded to be suitable for improving energy efficiency in wireless communications. In this paper we focus on the critical mechanism for practical implementation of the Cognitive Radio Networks (CRNs), i.e. cooperative sensing. Under the context of cooperative sensing, selecting more Secondary Users (SUs) for spectrum sensing can bring higher expected throughput, but more energy will be consumed on the sensing process, which is the major energy consumption in the CRNs. After selecting the SUs for sensing, how to properly assign them to sense the Primary User (PU) channels to strike the balance between sensing accuracy and spectrum opportunities is another essential problem. We formulate this two-dimensional Spectrum Opportunity-Energy Tradeoff (SOET) problem as a combinatorial optimization problem, and analytically exploit its inherent structures. Efficient algorithm is proposed to obtain the optimal solutions based on the properties found. Numerical results are also provided to validate our analysis.