Abstract
Simultaneous wireless information and power transfer (SWIPT) is a promising technology to realize simultaneous information and energy transfer by utilizing radio frequency signals. It extends the life of wireless networks and is conducive to the realization of green communications. In this paper, a subcarrier allocation-based SWIPT is studied to transfer information and energy in different subcarriers of an Orthogonal Frequency Division Multiplexing (OFDM) communication system. To improve the SWIPT performance, we maximize the energy efficiency of OFDM communication system while satisfying the constraints including minimum harvested energy, target rate and transmit power budget. To obtain the optimal solution, we investigate a dual-layer iterative optimization algorithm from Lagrange dual function to solve the energy efficiency optimization problem. The simulation results show that the energy efficiency of the proposed scheme can be effectively improved.
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Acknowledgements
This work was supported by the Joint Foundations of the National Natural Science Foundations of China and the Civil Aviation of China under Grant U1833102, and the Natural Science Foundation of Liaoning Province under Grants 2020-HYLH-13 and 2019-ZD-0014.
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Liu, X., Guo, Y. (2021). Energy Efficiency Optimization for Subcarrier Allocation-Based SWIPT in OFDM Communications. In: Shi, S., Ye, L., Zhang, Y. (eds) Artificial Intelligence for Communications and Networks. AICON 2020. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 356. Springer, Cham. https://doi.org/10.1007/978-3-030-69066-3_14
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DOI: https://doi.org/10.1007/978-3-030-69066-3_14
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