Pan, Yijin, Wang, Kezhi, Pan, Cunhua, Zhu, Huiling and Wang, Jiangzhou (2021) UAV-Assisted and Intelligent Reflecting Surfaces-Supported Terahertz Communications. IEEE Wireless Communications Letters, 10 (6). pp. 1256-1260. ISSN 2162-2337
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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.
| Item Type: | Article |
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| Additional Information: | Funding information: This work was supported in part by the National Natural Science Foundation of China under Grant 61871128, Grant 61971129, and Grant 62001107; in part by the Basic Research Project of Jiangsu Provincial Department of Science and Technology under Grant BK20190339; and in part by the U.K. Royal Society Newton International Fellowship under Grant NIF\ R1\180777. |
| Uncontrolled Keywords: | Intelligent reflective surface (IRS), reconfigurable intelligent surface (RIS), terahertz (THz) communications, unmanned aerial vehicles (UAVs) |
| Subjects: | G400 Computer Science H600 Electronic and Electrical Engineering |
| Department: | Faculties > Engineering and Environment > Computer and Information Sciences |
| Depositing User: | Rachel Branson |
| Date Deposited: | 04 Jan 2022 10:06 |
| Last Modified: | 04 Jan 2022 10:15 |
| URI: | http://nrl.northumbria.ac.uk/id/eprint/48058 |
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