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.

翻译：本文研究灾后应急场景下面向任务的非地面网络(NTNs)中时延约束的资源协同优化问题。当地面基础设施受损时，部署配备边缘信息枢纽(EIHs)的无人机(UAVs)以提供临时覆盖，并协同通信与计算资源实现快速态势感知。我们构建了联合资源配置与位置优化问题，在保证严格时延要求的同时最小化总体资源成本。通过解析推导，获得了揭示通信与计算资源间基本权衡关系的闭式最优解，并开发了用于EIH位置优化的逐次凸逼近方法。仿真结果表明，与基准方法相比，所提方案可实现约20%的成本降低，验证了其在第六代(6G)时代任务关键型应急响应应用中的最优性与有效性。