THz/RF Multi-Hop Routing Throughput: Performance, Optimization, and Application

TL;DR

This paper introduces a stochastic geometry-based analytical framework for optimizing multi-hop routing in THz communication systems, enhancing throughput and coverage compared to existing methods.

Contribution

It presents the first SG-based analytical model for THz routing and a stepwise optimization approach for throughput maximization.

Findings

Proposed routing strategies outperform existing SG-based methods.

Analytical expressions enable scalable performance evaluation.

THz routing can approach ideal throughput bounds.

Abstract

Terahertz (THz) communication offers a promising solution for high-throughput wireless systems. However, the severe path loss of THz signals raises concerns about its effectiveness compared to radio frequency (RF) communication. In this article, we establish the first stochastic geometry (SG)-based analytical framework for routing in THz systems. We develop a stepwise optimization approach to maximize throughput, including power allocation, relay selection, and number of hops design. Analytical expressions for throughput and coverage probability are derived under the SG framework, enabling low complexity and scalable performance evaluation. Numerical results show that the proposed stepwise-optimal routing strategies not only outperform existing SG-based methods but also approach the ideal upper bound. Moreover, we compare the throughput and coverage performance of THz and RF routing and demonstrate the applications of the proposed analytical framework and routing strategies in system parameter design and unmanned aerial vehicle networks.