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Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks

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  • Jianbin Liao
  • Hongliang Yu
  • Weibin Jiang
  • Ruiquan Lin
  • Jun Wang

Abstract

This paper proposes an optimal resource allocation method. The method is to maximize the Energy Efficiency (EE) for an Energy Harvesting (EH) enabled underlay Cognitive Radio (CR) network. First, we assumed the Secondary Users (SUs) can harvest energy from the surrounding Radio Frequency (RF) signals. Then, we modelled the EE maximisation problem as a joint time and power optimization model. Next, the optimal EH time allocation factor can be calculated. After that the optimal power allocation strategy can be obtain by the fractional programming and Lagrange multiplier method. Finally simulation results show that the proposed iterative method can be better performance advantages compared with the exhaustive method and genetic algorithm. And the EE of this system model is significantly improved compared to the EE model without considering EH.

Suggested Citation

  • Jianbin Liao & Hongliang Yu & Weibin Jiang & Ruiquan Lin & Jun Wang, 2023. "Optimal resource allocation method for energy harvesting based underlay Cognitive Radio networks," PLOS ONE, Public Library of Science, vol. 18(1), pages 1-17, January.
    • Handle: RePEc:plo:pone00:0279886
    DOI: 10.1371/journal.pone.0279886
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