Sum-Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications

Pan, Yijin, Wang, Kezhi, Pan, Cunhua, Zhu, Huiling and Wang, Jiangzhou (2022) Sum-Rate Maximization for Intelligent Reflecting Surface Assisted Terahertz Communications. IEEE Transactions on Vehicular Technology, 71 (3). pp. 3320-3325. ISSN 0018-9545

Sum_Rate_Maximization_for_Intelligent_Reflecting_Surface_Assisted_Terahertz_Communications.pdf - Accepted Version

Download (909kB) | Preview
Official URL:


In this paper, an intelligent reflecting surface (IRS) is deployed to assist the terahertz (THz) communications. The sum-rate of user equipments (UEs) is maximized while guaranteeing the rate requirement of each UE. A block coordinate searching (BCS) algorithm is proposed to jointly optimize the IRS's coordinates, phase shifts, THz sub-bands allocation and power control. Specifically, the relaxation with penalties based (RPB) algorithm is developed to guarantee the feasibility of obtained IRS's coordinates and the monotonicity of objective value. In addition, to optimize the IRS's phase shifts, the sub-gradient descent (SGD) algorithm is proposed, where the IRS phase shifts are formulated as closed-form expressions with introduced pricing factors. Simulation results show that the proposed scheme can significantly enhance system performance.

Item Type: Article
Additional Information: Funding information: This work was supported in part by the National Natural Science Foundation of China under Grants 62001107, No. 61971129, No. 61960206005, No. 61871128, Basic Research Project of Jiangsu Provincial Department of Science and Technology under Grant No. BK20190339, No. Bk20192002.
Uncontrolled Keywords: Bandwidth, Propagation losses, Wireless communication, Scattering, Resource management, Reflection, Intelligent reflecting surface (IRS), Terahertz (THz) communication, Reconfigurable intelligent surface (RIS)
Subjects: G400 Computer Science
G700 Artificial Intelligence
H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Computer and Information Sciences
Depositing User: Rachel Branson
Date Deposited: 24 Jan 2022 12:16
Last Modified: 08 Apr 2022 13:45

Actions (login required)

View Item View Item


Downloads per month over past year

View more statistics