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

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Autori principali:	Lin, Yueshan, Feng, Wei, Chen, Yunfei, Zhu, Yongxu, Ge, Ning, Jin, Shi
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Information Theory
Accesso online:	Acceder al recurso
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author	Lin, Yueshan Feng, Wei Chen, Yunfei Zhu, Yongxu Ge, Ning Jin, Shi
author_facet	Lin, Yueshan Feng, Wei Chen, Yunfei Zhu, Yongxu Ge, Ning Jin, Shi
contents	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.
format	Preprint
id	arxiv_https___arxiv_org_abs_2603_14812
institution	arXiv
publishDate	2026
record_format	arxiv
spellingShingle	Latency-Constrained Resource Synergization for Mission-Oriented 6G Non-Terrestrial Networks Lin, Yueshan Feng, Wei Chen, Yunfei Zhu, Yongxu Ge, Ning Jin, Shi Information Theory 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.
title	Latency-Constrained Resource Synergization for Mission-Oriented 6G Non-Terrestrial Networks
topic	Information Theory
url	https://arxiv.org/abs/2603.14812

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