Improving THz Coverage for 6G URLLC Services via Exploiting Mobile Computing

TL;DR

This paper proposes a joint optimization approach combining job offloading and frequency allocation to enhance THz communication coverage for 6G URLLC services, addressing high path loss issues.

Contribution

It introduces a novel co-design framework for mobile computing and THz communication to improve coverage and reliability in 6G networks.

Findings

Optimized joint offloading and frequency allocation significantly increase THz coverage.

Proposed method effectively supports ultra-reliable low-latency communications.

Numerical results confirm the efficiency and low complexity of the approach.

Abstract

Terahertz (THz) communication (0.1-10 THz) is regarded as a promising technology, which provides rich available bandwidth and high data rate of terahertz bit per second (Tbps). However, THz signals suffer from high path loss, which profoundly decreases the transmission distance. To improve THz coverage, we consider the aid of mobile computing. Specifically, job offloading decision in mobile computing and frequency allocation in communication are co-designed to maximize distance and concurrently support ultra-reliable low-latency communications (URLLC) services for the sixth-generation (6G) mobile communication. Further, the above optimization problem is non-convex, then an effective and low-complexity method is proposed via exploiting the special structure of this problem. Finally, numerical results verify the effectiveness of our work.