UAV-Assisted and Intelligent Reflecting Surfaces-Supported Terahertz Communications

Yijin Pan, Kezhi Wang*, Cunhua Pan*, Huiling Zhu, Jiangzhou Wang

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)

Abstract

In this letter, 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 are investigated to maximize the minimum average achievable rate of all 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.

Original languageEnglish
Article number9367288
Pages (from-to)1256-1260
Number of pages5
JournalIEEE Wireless Communications Letters
Volume10
Issue number6
Early online date3 Mar 2021
DOIs
Publication statusPublished - Jun 2021

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