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Throughput Analysis for Energy Harvesting Cognitive Radio Networks with Unslotted Users

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Wireless Algorithms, Systems, and Applications (WASA 2018)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10874))

Abstract

Considering a cognitive radio network (CRN) with the energy harvesting (EH) capability, we design a sensing-based flexible timeslot structure for a secondary transmitter (ST). This structure focuses on an unslotted transmission mode between two primary users (PUs). In this structure, the ST can decide whether to transmit data or to harvest energy based on the sensing results. Aiming to maximize the long-term average achievable throughput of the secondary system, we study an optimal policy, including the optimal energy harvesting time as well as the optimal transmit power. To reduce the computational complexity, we also derive an effective suboptimal policy by maximizing the upper bound on the throughput. Finally, simulation results demonstrate that the proposed flexible timeslot structure outperforms the conventional fixed timeslot structure in terms of average achievable throughput.

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Notes

  1. 1.

    In this paper, we consider a single-user unslotted primary system without sensing ability, so ST’s transmit may not prevent the PT from reactivation.

  2. 2.

    Similar to [19], \(\lambda _1\) and \(\lambda _0\) can be known at an ST by probing the channel in a specified learning period.

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Acknowledgments

This work was supported by the National Natural Science Foundation of China (Grant No. 61471028, 61571010, and 61572070), and the Fundamental Research Funds for the Central Universities (Grant No. 2017JBM004 and 2016JBZ003).

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Authors and Affiliations

  1. School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing, China

    Honghao Ma, Tao Jing, Fan Zhang, Xin Fan, Yanfei Lu & Yan Huo

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  1. Honghao Ma
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  2. Tao Jing
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  3. Fan Zhang
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  4. Xin Fan
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  5. Yanfei Lu
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  6. Yan Huo
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Corresponding author

Correspondence to Yan Huo .

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Editors and Affiliations

  1. University of South Florida, Tampa, Florida, USA

    Sriram Chellappan

  2. Virginia Commonwealth University, Richmond, Virginia, USA

    Wei Cheng

  3. Georgia State University, Atlanta, Georgia, USA

    Wei Li

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Ma, H., Jing, T., Zhang, F., Fan, X., Lu, Y., Huo, Y. (2018). Throughput Analysis for Energy Harvesting Cognitive Radio Networks with Unslotted Users. In: Chellappan, S., Cheng, W., Li, W. (eds) Wireless Algorithms, Systems, and Applications. WASA 2018. Lecture Notes in Computer Science(), vol 10874. Springer, Cham. https://doi.org/10.1007/978-3-319-94268-1_29

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  • DOI: https://doi.org/10.1007/978-3-319-94268-1_29

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-94267-4

  • Online ISBN: 978-3-319-94268-1

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