Latency-Constrained Resource Synergization for Mission-Oriented 6G Non-Terrestrial Networks

TL;DR

This paper proposes a resource optimization scheme for non-terrestrial 6G networks using UAVs with edge hubs to ensure low latency in disaster scenarios, achieving significant cost savings.

Contribution

It introduces a joint resource and location optimization framework with closed-form solutions and a convex approximation method for emergency 6G NTN deployments.

Findings

Achieves approximately 20% cost reduction over benchmarks.

Provides closed-form solutions revealing communication-computing tradeoffs.

Validates effectiveness through simulations in emergency scenarios.

Abstract

This paper investigates latency-constrained resource synergization for mission-oriented non-terrestrial networks (NTNs) in post-disaster emergency scenarios. When terrestrial infrastructures are damaged, unmanned aerial vehicles (UAVs) equipped with edge information hubs (EIHs) are deployed to provide temporary coverage and synergize communication and computing resources for rapid situation awareness. We formulate a joint resource configuration and location optimization problem to minimize overall resource costs while guaranteeing stringent latency requirements. Through analytical derivations, we obtain closed-form optimal solutions that reveal the fundamental tradeoff between communication and computing resources, and develop a successive convex approximation method for EIH location optimization. Simulation results demonstrate that the proposed scheme achieves approximately 20% cost reduction compared with benchmark approaches, validating its optimality and effectiveness for mission-critical emergency response applications in the sixth-generation (6G) era.