Journal of Communications and Networks

The Korean Institute of Commucations and Information Sciences (한국통신학회)
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Optimal Harvest-Use-Store Design for Delay-Constrained Energy Harvesting Wireless Communications

  • Yuan, Fangchao (Jiangsu Key Laboratory of Wireless Communications, College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications) ;
  • Jin, Shi (National Mobile Communications Research Laboratory, Southeast University) ;
  • Wong, Kai-Kit (Department of Electronic and Electrical Engineering, University College London) ;
  • Zhang, Q.T. (Jiangsu Key Laboratory of Wireless Communications, College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications) ;
  • Zhu, Hongbo (Jiangsu Key Laboratory of Wireless Communications, College of Telecommunications and Information Engineering, Nanjing University of Posts and Telecommunications)
  • Published : 2016.12.31
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Abstract

Recent advances in energy harvesting (EH) technology have motivated the adoption of rechargeable mobile devices for communications. In this paper, we consider a point-to-point (P2P) wireless communication system in which an EH transmitter with a non-ideal rechargeable battery is required to send a given fixed number of bits to the receiver before they expire according to a preset delay constraint. Due to the possible energy loss in the storage process, the harvest-use-and-store (HUS) architecture is adopted. We characterize the properties of the optimal solutions, for additive white Gaussian channels (AWGNs) and then block-fading channels, that maximize the energy efficiency (i.e., battery residual) subject to a given rate requirement. Interestingly, it is shown that the optimal solution has a water-filling interpretation with double thresholds and that both thresholds are monotonic. Based on this, we investigate the optimal double-threshold based allocation policy and devise an algorithm to achieve the solution. Numerical results are provided to validate the theoretical analysis and to compare the optimal solutions with existing schemes.

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Acknowledgement

Supported by : National Natural Science Foundation of China, Natural Science Foundation of Jiangsu Province

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