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Periodic Cooperative Spectrum Sensing Optimization for Multichannel Cognitive Radio Network

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Communications, Signal Processing, and Systems (CSPS 2017)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 463))

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Abstract

In order to improve spectrum sensing performance of multichannel cognitive radio (CR) network, the optimization of periodic cooperative spectrum sensing is investigated. We seek to obtain spectrum efficiency maximization (SEM) and energy efficiency maximization (EEM) of cooperative spectrum sensing through jointly optimizing sensing time, subchannel allocation and transmission power. We have formulated a class of optimization problems and obtained the optimal solutions by alternating direction optimization and Dinkelbach’s optimization. The simulation results have indicated that SEM can achieve higher spectrum efficiency while EEM may get higher energy efficiency.

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Acknowledgments

This work was supported by the National Natural Science Foundations of China under Grant Nos. 61601221, 91438205 and 61671183, the Natural Science Foundations of Jiangsu Province under Grant No. BK20140828, the China Postdoctoral Science Foundations under Grant No. 2015M580425, the Fundamental Research Funds for the Central Universities under Grant No. DUT16RC(3)045 and the Open Research Fund of State Key Laboratory of Space-Ground Integrated Information Technology under grant No. 2015_SGIIT_KFJJ_TX_02.

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Authors and Affiliations

  1. School of Information and Communication Engineering, Dalian University of Technology, Dalian, 116024, China

    Xin Liu

  2. Communication Research Center, Harbin Institute of Technology, Harbin, 150080, China

    Min Jia

Authors
  1. Xin Liu
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  2. Min Jia
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Corresponding author

Correspondence to Xin Liu .

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Editors and Affiliations

  1. Department of Electrical Engineering, University of Texas at Arlington, Arlington, Texas, USA

    Qilian Liang

  2. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Jiasong Mu

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Min Jia

  4. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Wei Wang

  5. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Xuhong Feng

  6. College of Electronic and Communication Engineering, Tianjin Normal University, Tianjin, China

    Baoju Zhang

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Liu, X., Jia, M. (2019). Periodic Cooperative Spectrum Sensing Optimization for Multichannel Cognitive Radio Network. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_64

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  • DOI: https://doi.org/10.1007/978-981-10-6571-2_64

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6570-5

  • Online ISBN: 978-981-10-6571-2

  • eBook Packages: EngineeringEngineering (R0)

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