In this paper, unmanned aerial vehicles (UAVs) and intelligent reflective surface (IRS) are utilized to support terahertz (THz) communications. To this end, the joint optimization of UAV's trajectory, the phase shift of IRS, the allocation of THz sub-bands, and the power control is investigated to maximize the minimum average achievable rate of all the users. An iteration algorithm based on successive Convex Approximation with the Rate constraint penalty (CAR) is developed to obtain UAV's trajectory, and the IRS phase shift is formulated as a closed-form expression with introduced pricing factors. Simulation results show that the proposed scheme significantly enhances the rate performance of the whole system.
@article{arxiv.2010.14223,
title = {UAV-Assisted and Intelligent Reflecting Surfaces-Supported Terahertz Communications},
author = {Yijin Pan and Kezhi Wang and Cunhua Pan and Huiling Zhu and Jiangzhou Wang},
journal= {arXiv preprint arXiv:2010.14223},
year = {2021}
}