Research Article
Energy Efficiency Optimization for Subcarrier Allocation-Based SWIPT in OFDM Communications
@INPROCEEDINGS{10.1007/978-3-030-69066-3_14, author={Xin Liu and Yuting Guo}, title={Energy Efficiency Optimization for Subcarrier Allocation-Based SWIPT in OFDM Communications}, proceedings={Artificial Intelligence for Communications and Networks. Second EAI International Conference, AICON 2020, Virtual Event, December 19-20, 2020, Proceedings}, proceedings_a={AICON}, year={2021}, month={7}, keywords={SWIPT Subcarrier allocation Power allocation Energy efficiency}, doi={10.1007/978-3-030-69066-3_14} }- Xin Liu
Yuting Guo
Year: 2021
Energy Efficiency Optimization for Subcarrier Allocation-Based SWIPT in OFDM Communications
AICON
Springer
DOI: 10.1007/978-3-030-69066-3_14
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.
