RIS-Enhanced Hybrid THz/RF Systems for 6G Networks Over Generalized Fading

View at publisher
Authors: Rithwik Premanand, Narendra Vishwakarma, Ranjan Singh, A. S. Madhukumar
Cited by: 1
References: 66

Abstract

Terahertz (THz) communication, a key enabler for 6 G networks, suffers from high path loss and limited coverage. To address these challenges, this paper proposes a RIS-assisted hybrid THz/RF architecture that integrates RIS with THz and radio frequency (RF) links, aiming to combine the high-capacity advantage of THz with the reliability of RF. To this end, a dynamic threshold switching (DTS) scheme is introduced, enabling real-time selection between THz and RF links based on the instantaneous signal-to-noise ratio. A complete analytical framework is developed, incorporating hardware impairments, pointing errors, and generalized$\alpha -\mu$fading in both RF and THz domains. The model incorporates deterministic RIS gains and frequency-dependent THz absorption, offering practical insights into the joint impact of RIS geometry, beam width, and switching thresholds. Closed-form expressions for outage probability, symbol error rate, ergodic capacity, and energy efficiency are derived. Simulation results confirm the accuracy of the proposed model and demonstrate that the hybrid system outperforms single-band THz or RF links and traditional diversity combining schemes. Additionally, increasing RIS elements improves performance and reduces transmit power requirements, with energy efficiency trends identifying optimal RIS configurations for practical deployment. These findings establish RIS-assisted hybrid THz/RF systems as a key enabler of reliable, high-capacity 6G communication for autonomous vehicles and smart factories.

Fields of Study & Subjects

Advanced Wireless Communication Technologies Millimeter-Wave Propagation and Modeling IoT Networks and Protocols

Publication details

Journal / source
IEEE Transactions on Vehicular Technology
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Volume
75
Issue
7
Pages
12934–12949
Publication date
12 January 2026
Language
EN