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

2026-03-16

AI Summary

This study addresses communication outages in post-disaster emergency scenarios caused by damaged terrestrial infrastructure by investigating task-oriented joint optimization of communication and computing resources in 6G non-terrestrial networks under stringent latency constraints. The proposed approach leverages unmanned aerial vehicles (UAVs) equipped with edge information hubs (EIHs) to provide temporary coverage, co-optimizing resource allocation and the three-dimensional placement of EIHs. Theoretical analysis reveals an intrinsic trade-off between communication and computation, yielding a closed-form optimal solution for resource allocation and a successive convex approximation-based algorithm for EIH positioning. Experimental results demonstrate that the proposed method reduces resource costs by approximately 20% compared to baseline schemes while ensuring latency requirements and significantly enhancing emergency response efficiency.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Constraint Satisfaction and Optimization: Distributed CSP/Optimization
• Search and Optimization: Combinatorial Optimization

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Energy management for devices in mobile Web and WoT environments
• Economics, Online Markets and Human Computation: Incentives in network design for Web infrastructures and ecosystems
• Social Networks and Social Media: Applications and emergent phenomena

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.

Problem

• latency-constrained
• resource synergization
• non-terrestrial networks
• mission-oriented
• 6G

Innovation

• resource synergization
• latency-constrained optimization
• non-terrestrial networks
• edge information hub
• successive convex approximation