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Energy-Efficient Spectrum Discovery for Cognitive Radio Green Networks

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Abstract

Cognitive Radio (CR) is an essential technique for the future generation green communication paradigm owing to its inherent advantages of adaptability and cognition. The compulsory spectrum sensing is a critical component to facilitate systems co-existence. In this paper, we propose a new Time-Division Energy Efficient (TDEE) sensing scheme in which the sensing period is divided into an optimal number of timeslots and each Secondary User (SU) is assigned to detect a different channel in one time-slot. An important advantage of TDEE is that the SUs do not need to exchange the control messages for the acknowledgement of a successful cooperation, leading to substantial energy saving without compromising sensing accuracy. Both homogeneous and heterogeneous networks are investigated with respect to the intrinsic trade-off between spectrum efficiency and energy-efficiency. Illustrative results demonstrate that the proposed TDEE is able to achieve much lower energy consumption and higher throughput, compared to the existing mechanisms.

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Acknowledgements

The work in this paper is partially supported by programs of NSFC under Grant nos.60903170, U0835003, U1035001; the Specialized Research Fund for the Doctoral Program of Higher Education (SRFDP, no. 20090172120010); the Fundamental Research Funds for the Central Universities, SCUT (no. 2009ZM0250); the Foundation for Distinguished Young Talents in Higher Education of Guangdong, China; the projects 208739/E20 and 205048/V11 funded by the Research Council of Norway.

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Authors and Affiliations

  1. School of Electronic and Information Engineering, South China University of Technology, Guangzhou, People’s Republic of China

    Yi Liu, Shengli Xie & Rong Yu

  2. Guangdong University of Technology, Guangzhou, People’s Republic of China

    Shengli Xie & Rong Yu

  3. Simula Research Laboratory, Norway; Department of Informatics, University of Oslo, Oslo, Norway

    Yan Zhang

  4. Department of Electrical and Computer Engineering, The University of British Columbia, Canada

    Victor C. M. Leung

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  1. Yi Liu
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  2. Shengli Xie
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  3. Yan Zhang
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  4. Rong Yu
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  5. Victor C. M. Leung
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Correspondence to Yan Zhang.

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Liu, Y., Xie, S., Zhang, Y. et al. Energy-Efficient Spectrum Discovery for Cognitive Radio Green Networks. Mobile Netw Appl 17, 64–74 (2012). https://doi.org/10.1007/s11036-011-0307-5

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  • DOI: https://doi.org/10.1007/s11036-011-0307-5

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