Coverage and Rate Analysis in Coexisting Terahertz and RF Finite Wireless Networks

TL;DR

This paper analyzes the coexistence of Terahertz and RF networks in indoor environments, evaluating coverage and rate trade-offs using stochastic geometry and simulations to optimize system parameters.

Contribution

It introduces a stochastic geometry-based framework for analyzing coexisting RF and THz networks, providing insights for optimizing deployment and performance.

Findings

High THz AP fraction boosts data rates but reduces coverage.

User location significantly impacts optimal THz AP deployment.

Analytical results closely match Monte-Carlo simulations.

Abstract

Wireless communications over Terahertz (THz)-band frequencies are vital enablers of ultra-high rate applications and services in sixth-generation (6G) networks. However, THz communications suffer from poor coverage because of inherent THz features such as high penetration losses, severe path loss, and significant molecular absorption. To surmount these critical challenges and fully exploit the THz band, we explore a coexisting radio frequency (RF) and THz finite indoor network in which THz small cells are deployed to provide high data rates, and RF macrocells are deployed to satisfy coverage requirements. Using stochastic geometry tools, we assess the performance of coexisting RF and THz networks in terms of coverage probability and average achievable rate. The accuracy of the analytical results is validated with Monte-Carlo simulations. Several insights are devised for accurate tuning and optimization of THz system parameters, including the fraction of THz access points (APs) to deploy, and the THz bias. The obtained results recognize a clear coverage/rate trade-off where a high fraction of THz AP improves the rate significantly but may degrade the coverage performance. Furthermore, the location of the user in the finite area highly affects the fraction of THz APs that optimizes the performance.