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Energy-Efficient Cooperative Spectrum Sensing with Quality-of-Service Provisioning

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Abstract

Energy efficient communication techniques have attracted a lot of attention due to operational device requirements and global environment concerns. In this paper, we investigate energy efficient cooperative spectrum sensing (CSS) in cognitive radio (CR) networks with Quality-of-Service (QoS) provisioning. The energy efficiency (EE) of the CR network is defined as the ratio of the average spectrum efficiency over the average power consumption. To maximize the EE, both the sensing time and secondary user’s (SU’s) transmit power are optimized. We propose mathematical reformulation of the problem in a way that allows uni-modality to be used to confirm the existence of optimal solution, and Algorithm 1 is proposed to solve the optimization problem. Then, an efficient Algorithm 2 is proposed to maximize the EE under the constraint that the spectrum efficiency (SE) requirement is satisfied. Computer simulations show that, in order to improve the EE of the CR network, joint optimization of sensing time and SU’s transmit power should be performed. And different QoS requirements require different system parameters.

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Acknowledgments

This work is supported by the National Natural Science Foundation of China (No. 61671475).

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Authors and Affiliations

  1. Information and Navigation College, Air Force Engineering University, Xi’an, China

    Hang Hu, Weiting Gao & Lei Li

  2. College of Communications Engineering, PLA University of Science and Technology, Nanjing, China

    Hang Zhang, Qian Wang & Yewen Guan

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  1. Hang Hu
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  2. Hang Zhang
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  3. Weiting Gao
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  4. Lei Li
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  5. Qian Wang
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  6. Yewen Guan
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Correspondence to Hang Hu.

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Hu, H., Zhang, H., Gao, W. et al. Energy-Efficient Cooperative Spectrum Sensing with Quality-of-Service Provisioning. Wireless Pers Commun 94, 1427–1442 (2017). https://doi.org/10.1007/s11277-016-3690-1

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  • DOI: https://doi.org/10.1007/s11277-016-3690-1

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