Reconfigurable Intelligent Surfaces for Coverage Enhancement in Terahertz Networks

Abstract

Terahertz (THz) communication can handle very high data rates, it is a promising technology for upcoming 6G networks. However, substantial propagation loss, blockage sensitivity, and limited coverage—particularly in non-line-of-sight (NLoS) scenarios—make practical deployment difficult. In order to improve signal coverage and reliability in THz communication systems, this research explores the integration of reconfigurable intelligent surfaces (RIS). In order to maximize the received signal power to the user, a combined optimization method is provided that simultaneously configures transmitter beamforming and RIS phase shifts. When compared to traditional THz lines without RIS support, analytical modeling and simulation-based evaluations show that RIS-assisted THz communication greatly increases coverage probability and spectrum efficiency. In NLoS systems, when direct pathways are barred, the results also provide significant performance increases. The suggested RIS-based solution offers a scalable and affordable way to address propagation issues in upcoming 6G THz wireless networks because of its low power consumption and passive operation.

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