On the Downlink Coverage Performance of RIS-Assisted THz Networks

TL;DR

This paper analyzes the coverage probability of indoor THz networks aided by a reconfigurable intelligent surface using stochastic geometry, considering direct, RIS-assisted, and combined links, validated by simulations.

Contribution

It introduces a stochastic geometry-based framework for coverage analysis of RIS-assisted THz networks, considering multiple link scenarios and blockage effects.

Findings

Coverage probability varies with RIS placement and blockage density.

Theoretical results closely match Monte Carlo simulations.

RIS can significantly enhance coverage in obstructed indoor THz environments.

Abstract

This letter provides a stochastic geometry (SG)-based coverage probability (CP) analysis of an indoor terahertz (THz) downlink assisted by a single reconfigurable intelligent surface (RIS) panel. Specifically, multiple access points (AP) deployed on the ceiling of a hall (each equipped with multiple antennas) need to serve multiple user equipment (UE) nodes. Due to presence of blockages, a typical UE may either get served via a direct link, the RIS, or both links (the composite link). The locations of the APs and blockages are modelled as a Poisson point process (PPP) and SG framework is utilized to compute the CP, at a reference UE for all the three scenarios. Monte-Carlo simulation results validate our theoretical analysis.