IRS-Aided Joint UL/DL Terahertz Communications: Pathloss Modeling and Resource Allocation

Resource allocation plays a critical role in overcoming the challenges of intelligent reflecting surface (IRS)-assisted full-duplex (FD) terahertz (THz) communication systems, such as severe path loss, frequency-dependent molecular absorption, and self-interference. The unique properties of the THz band, including ultra-wide bandwidth and frequency-sensitive propagation, necessitate novel and efficient spectrum allocation strategies. In this paper, we optimize the resource allocation, including IRS beamforming, spectrum, and power, to maximize the system weighted minimum rate. To solve the formulated optimization problem, an efficient penalty-based algorithm is proposed. Simulation results demonstrate the superiority of the proposed scheme over conventional schemes.

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Publication Details

Published
2025-06-08
DOI
https://doi.org/10.1109/iccworkshops67674.2025.11162154
Primary Topic
Millimeter-Wave Propagation and Modeling
Type
article
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article

IRS-Aided Joint UL/DL Terahertz Communications: Pathloss Modeling and Resource Allocation

Fen Hou, Ying Gao, Chi Qiu, Qingqing Wu et al.
Millimeter-Wave Propagation and Modeling
article

IRS-Aided Joint UL/DL Terahertz Communications: Pathloss Modeling and Resource Allocation

Fen Hou, Ying Gao, Chi Qiu, Qingqing Wu, Wen Chen
article en

Abstract

Resource allocation plays a critical role in overcoming the challenges of intelligent reflecting surface (IRS)-assisted full-duplex (FD) terahertz (THz) communication systems, such as severe path loss, frequency-dependent molecular absorption, and self-interference. The unique properties of the THz band, including ultra-wide bandwidth and frequency-sensitive propagation, necessitate novel and efficient spectrum allocation strategies. In this paper, we optimize the resource allocation, including IRS beamforming, spectrum, and power, to maximize the system weighted minimum rate. To solve the formulated optimization problem, an efficient penalty-based algorithm is proposed. Simulation results demonstrate the superiority of the proposed scheme over conventional schemes.

Shanghai Jiao Tong University (CN), University of Macau (MO), City University of Macau (MO)
Openalex Percentile: Top 75%
Millimeter-Wave Propagation and Modeling
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IRS-Aided Joint UL/DL Terahertz Communications: Pathloss Modeling and Resource Allocation — Fen Hou, Ying Gao, et al. · (2025) | TGRS Research Map | TGRS