Intelligent Reflecting Surface-Empowered Terahertz Wireless Communications
Abstract
This article investigates the integration of Intelligent Reflecting Surface (IRS) technology into Terahertz (THz) wireless communication systems to enhance transmission reliability and coverage. Although THz communications can support ultra-high data rates and massive network capacity, they are highly susceptible to severe path loss, molecular absorption, and blockage effects, which significantly restrict transmission distance and link stability. To overcome these limitations, an IRS is deployed to intelligently reconfigure the wireless propagation environment by reflecting and steering THz signals toward the receiver, particularly when the direct link is obstructed. The study analyzes the impact of IRS-assisted THz communications on system coverage and overall performance. The results demonstrate that the incorporation of IRS technology substantially enhances system capacity, coverage, and communication reliability. Furthermore, the findings highlight that efficient IRS configuration and system design are essential for realizing the full potential of THz communications in next-generation wireless networks.
References
T. Zugno et al., "Use Cases for Terahertz Communications: An Industrial Perspective," in IEEE Wireless Communications, vol. 32, no. 1, pp. 90-98, February 2025, doi: 10.1109/MWC.001.2400060.
X. Liao, L. Fan, Y. Wang, Z. Yu, G. Wang, X. Li, and J. Zhang, "Attenuation Characterization of Terahertz Waves in Foggy and Rainy Conditions at 0.1–1 THz Frequencies," in Electronics, vol. 12, no. 7, Art. no. 1684, 2023, doi: 10.3390/electronics12071684.
C. Han et al., "Terahertz Wireless Channels: A Holistic Survey on Measurement, Modeling, and Analysis," in IEEE Communications Surveys & Tutorials, vol. 24, no. 3, pp. 1670-1707, third quarter 2022, doi: 10.1109/COMST.2022.3182539.
J. Ma, Y. Song, M. Zhang, G. Liu, W. Li, J. F. Federici, and D. M. Mittleman, "Terahertz Channels in Atmospheric Conditions: Propagation Characteristics and Security Performance," Fundamental Research, vol. 5, no. 2, pp. 526-555, 2025, Mar. 2025, doi: 10.1016/j.fmre.2024.09.012.
H. Cao, M. Boban, and J. Eichinger, "Terahertz Communications Enhanced by IRS," in 2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), Helsinki, Finland, 2021, pp. 1-5, doi: 10.1109/PIMRC50174.2021.9569557.
E. Silva, J. D. S. Ribeiro, V. F. Adanvo, S. B. Mafra, L. L. Mendes, Y. Li, and R. A. A. de Souza, "A Survey on the Impact of Intelligent Surfaces in the Terahertz Communication Channel Models," in Sensors, vol. 24, no. 1, Art. no. 33, 2024, doi: 10.3390/s24010033.
Z. Chen, B. Ning, C. Han, Z. Tian, and S. Li, "Intelligent Reflecting Surface Assisted Terahertz Communications Toward 6G," in IEEE Wireless Communications, vol. 28, no. 6, pp. 110-117, December 2021, doi: 10.1109/MWC.001.2100215.
Q. Wu and R. Zhang, "Towards Smart and Reconfigurable Environment: Intelligent Reflecting Surface Aided Wireless Network," in IEEE Communications Magazine, vol. 58, no. 1, pp. 106-112, January 2020, doi: 10.1109/MCOM.001.1900107.
X. Fu, R. Peng, G. Liu, J. Wang, W. Yuan, and M. Kadoch, "Channel Modeling for RIS-Assisted 6G Communications," in Electronics, vol. 11, no. 19, Art. no. 2977, 2022, doi: 10.3390/electronics11192977.
A. M. T. Khel and K. A. Hamdi, "Analytical Performance Evaluation of STAR-RIS Assisted Terahertz Wireless Communications," in IEEE Transactions on Vehicular Technology, vol. 73, no. 4, pp. 5500-5515, April 2024, doi: 10.1109/TVT.2023.3336260.
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Copyright (c) 2026 Mawada Abdulaziz Algaddari, Arwa Raouf Alfalah, Arwa Ahmed Alagoury, Basmalah Yousef Abdulhadi, Abdelhamid Salem

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