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Optimal Mode Selection Policies in Cognitive Radio Networks with RF Energy Harvesting

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Abstract

Applying energy harvesting technology in cognitive radio networks (CRNs) leads to a tradeoff between the time allocated for spectrum sensing followed by spectrum accessing and that for energy harvesting. This tradeoff can be formulated as a mode selection problem for the secondary users. In this paper, we consider a CRN working in the time-slotted manner. The secondary users powered by radio frequency energy harvesting can perform overlay transmission or cooperate with the primary users. To maximize the long-term throughput of the secondary network, we propose two optimal mode selection policies by formulating this problem under a partially observable Markov decision process framework. Numerical simulations show that both of our proposed policies achieve more throughput than the overlay-only policy. Finally, we also evaluate the effect of the cooperative threshold and the energy harvesting process on the optimal policies.

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Authors and Affiliations

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

    Tao Jing, Jinlu Ding, Fan Zhang & Yan Huo

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  1. Tao Jing
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  2. Jinlu Ding
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  3. Fan Zhang
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  4. Yan Huo
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Correspondence to Jinlu Ding.

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Jing, T., Ding, J., Zhang, F. et al. Optimal Mode Selection Policies in Cognitive Radio Networks with RF Energy Harvesting. Wireless Pers Commun 98, 3319–3334 (2018). https://doi.org/10.1007/s11277-017-5016-3

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  • DOI: https://doi.org/10.1007/s11277-017-5016-3

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