Comparative Analysis of Path Loss Models for Rain-Affected THz Channels in 6G Communications

Citation

Sudhamani, Chilakala and Roslee, Mardeni and Adeoye, Idris Olalekan and Ismail, Azmi and Osman, Anwar Faizd and Ali, Fatimah Zaharah (2025) Comparative Analysis of Path Loss Models for Rain-Affected THz Channels in 6G Communications. In: 2025 Multimedia University Engineering Conference, MECON 2025, 21 July 2025 - 23 July 2025, Cyberjaya, Malaysia.

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Abstract

Terahertz (THz) communication has been suggested as a key enabling technology of sixth-generation wireless networks due to its high data rates and low latency. The investigation of THz channel performance under various atmospheric conditions, such as snow, haze, rain, fog, dust, and sand, is critical. In this paper, we considered the impact of rain attenuation on THz channel performance. The THz channel path loss is estimated and compared using Close-In (CI), Floating Intercept (FI), Close-In frequency (CIF), and AlphaBeta-Gamma (ABG) path models for THz frequencies ranging from 250 GHz to 400 GHz. The simulation results show that the CI and CIF models show higher path loss compared to the FI and ABG models, because the CI and CIF models depend on the environment’s physical characteristics. The CIF, ABG, CI, and FI models estimate the path loss for environmental effects along with the absorption due to rain. Using the CI model, the path loss of 192 dB and 250 dB is observed without and with rain attenuation. The ABG, CIF, and FI models show a similar path loss of 198 dB, 242 dB, and 128 dB, respectively. From the results, it is observed that the PL due to rain attenuation is nearly the same as the path loss due to environmental effects

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: 6G, path loss, terahert
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5101-6720 Telecommunication. Including telegraphy, telephone, radio, radar, television
Divisions: Faculty of Artificial Intelligence & Engineering (FAIE)
Depositing User: Ms Rosnani Abd Wahab
Date Deposited: 17 Mar 2026 07:19
Last Modified: 17 Mar 2026 08:16
URII: http://shdl.mmu.edu.my/id/eprint/15528

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