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Multislot Simultaneous Spectrum Sensing and Energy Harvesting in Cognitive Radio

Author

Listed:
  • Xin Liu

    (School of Information and Communication Engineering, Dalian University of Technology, Dalian 116024, China
    Communication Research Center, Harbin Institute of Technology, Harbin 150080, China)

  • Zhenyu Na

    (School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China)

  • Min Jia

    (Communication Research Center, Harbin Institute of Technology, Harbin 150080, China)

  • Xuemai Gu

    (Communication Research Center, Harbin Institute of Technology, Harbin 150080, China)

  • Xiaotong Li

    (School of Information Science and Technology, Dalian Maritime University, Dalian 116026, China)

Abstract

In cognitive radio (CR), the spectrum sensing of the primary user (PU) may consume some electrical power from the battery capacity of the secondary user (SU), resulting in a decrease in the transmission power of the SU. In this paper, a multislot simultaneous spectrum sensing and energy harvesting model is proposed, which uses the harvested radio frequency (RF) energy of the PU signal to supply the spectrum sensing. In the proposed model, the sensing duration is divided into multiple sensing slots consisting of one local-sensing subslot and one energy-harvesting subslot. If the PU is detected to be present in the local-sensing subslot, the SU will harvest RF energy of the PU signal in the energy-harvesting slot, otherwise, the SU will continue spectrum sensing. The global decision on the presence of the PU is obtained through combining local sensing results from all the sensing slots by adopting “Or-logic Rule”. A joint optimization problem of sensing time and time splitter factor is proposed to maximize the throughput of the SU under the constraints of probabilities of false alarm and detection and energy harvesting. The simulation results have shown that the proposed model can clearly improve the maximal throughput of the SU compared to the traditional sensing-throughput tradeoff model.

Suggested Citation

  • Xin Liu & Zhenyu Na & Min Jia & Xuemai Gu & Xiaotong Li, 2016. "Multislot Simultaneous Spectrum Sensing and Energy Harvesting in Cognitive Radio," Energies, MDPI, vol. 9(7), pages 1-13, July.
    • Handle: RePEc:gam:jeners:v:9:y:2016:i:7:p:568-:d:74417
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    Citations

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    Cited by:

    1. Enwei Xu & Shuo Shi & Dawei Chen & Xuemai Gu, 2018. "A joint optimization of energy harvesting and spectrum sensing for wireless sensor networks under Middleton Class A noise," International Journal of Distributed Sensor Networks, , vol. 14(5), pages 15501477187, May.
    2. Kai Ma & Xuemei Liu & Jie Yang & Zhixin Liu & Yazhou Yuan, 2017. "Optimal Power Allocation for a Relaying-Based Cognitive Radio Network in a Smart Grid," Energies, MDPI, vol. 10(7), pages 1-17, July.

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