Latency-Constrained Resource Synergization for Mission-Oriented 6G Non-Terrestrial Networks
It addresses resource optimization for mission-critical emergency response in 6G non-terrestrial networks, but is incremental as it builds on existing UAV and edge computing methods.
This paper tackles the problem of minimizing resource costs for latency-constrained communication and computing in post-disaster emergency networks using UAVs, achieving approximately 20% cost reduction compared to benchmarks.
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.