Throughput Optimization of Intelligent Reflecting Surface Assisted User Cooperation in WPCNs
Abstract
Intelligent reflecting surface (IRS) can effectively enhance the energy and spectral efficiency of wireless communication system through the use of a large number of lowcost passive reflecting elements. In this paper, we investigate throughput optimization of IRS-assisted user cooperation in a wireless powered communication network (WPCN), where the two WDs harvest wireless energy and transmit information to a common hybrid access point (HAP). In particular, the two WDs first exchange their independent information with each other and then form a virtual antenna array to transmit jointly to the HAP. We aim to maximize the common (minimum) throughput performance by jointly optimizing the transmit time and power allocations of the two WDs on wireless energy and information transmissions and the passive array coefficients on reflecting the wireless energy and information signals. By comparing with some existing benchmark schemes, our results show that the proposed IRS-assisted user cooperation method can effectively improve the throughput performance of cooperative transmission in WPCNs.
Cite
@article{arxiv.2007.09656,
title = {Throughput Optimization of Intelligent Reflecting Surface Assisted User Cooperation in WPCNs},
author = {Yuan Zheng and Suzhi Bi and Ying-Jun Angela Zhang and Hui Wang},
journal= {arXiv preprint arXiv:2007.09656},
year = {2020}
}
Comments
The paper has been accepted by Proc. IEEE VTC 2020 Fall