Research Article
Enhancing Energy Harvesting Efficiency for IRS-Aided TS-SWIPT Network with Practical Phase Shifts
@INPROCEEDINGS{10.1007/978-3-031-67357-3_11, author={Pham Viet Tuan and Vien Nguyen-Duy-Nhat and Mai T. P. Le and Hieu V. Nguyen and Vinh Anh Nghiem Quan and Pham Ngoc Son and Insoo Koo}, title={Enhancing Energy Harvesting Efficiency for IRS-Aided TS-SWIPT Network with Practical Phase Shifts}, proceedings={Industrial Networks and Intelligent Systems. 10th EAI International Conference, INISCOM 2024, Da Nang, Vietnam, February 20--21, 2024, Proceedings}, proceedings_a={INISCOM}, year={2024}, month={7}, keywords={Simultaneous wireless information and power transfer (SWIPT) intelligent reflecting surface (IRS) time-switching (TS) energy harvesting efficiency discrete phase shifts}, doi={10.1007/978-3-031-67357-3_11} }- Pham Viet Tuan
Vien Nguyen-Duy-Nhat
Mai T. P. Le
Hieu V. Nguyen
Vinh Anh Nghiem Quan
Pham Ngoc Son
Insoo Koo
Year: 2024
Enhancing Energy Harvesting Efficiency for IRS-Aided TS-SWIPT Network with Practical Phase Shifts
INISCOM
Springer
DOI: 10.1007/978-3-031-67357-3_11
Abstract
Recently, intelligent reflecting surface (IRS) emerges as a promising technique to improve the spectral and energy efficiency in communication with low cost and low energy consumption. In this work, we investigate the simultaneous wireless information and power transfer (SWIPT) network with time-switching (TS) receivers where the base station (BS) sends both information and energy signals to the users with the aid of IRS. The phase shifts at the IRS elements are appropriately adjusted to enhance the transmission performance in terms of energy and information efficiency. The energy harvesting efficiency, i.e., the ratio of the sum harvested energy at the users and the transmission power at the BS is maximized while the required information rate at the users is guaranteed, the transmission power is limited, and the practical phase shifts are constrained. The iterative algorithm with the non-convex approximations is proposed to achieve the information beamformers, energy covariance matrix, and TS ratios. Lastly, the numerical simulations present the convergence and effectiveness of the proposed approach.
