arXiv cs.AI· Peng Hu, Mustafa Alhassan, Amjad Iqbal·· 12 小时前AI 评分31
异构空间数据中心：未来非地面与在轨服务的关键范式
Heterogeneous Space Data Centers: A Key Paradigm for Future Non-Terrestrial and In-Orbit Services
AI 导读
研究提出由大、小节点组成的异构空间数据中心（SDC），按算力、尺寸和功耗预算区分，服务地面、空中与在轨用户。针对晨昏轨道 LEO 配置，分析了太阳能可用性、可见窗口与延迟感知覆盖，并基于典型场景基线负载评估延迟与服务可靠性。研究量化了不同 SDC 角色与部署规模的能耗需求，揭示节点尺寸、轨道选择与服务组合间的权衡。
正文 · 原文
Abstract:Lower space-launch cost and advances in AI are driving space-based data centers (SDCs) that provide AI-centric computing and communication services to in-orbit and non-terrestrial assets. However, architectural principles, service models, and energy provisioning for such SDCs, particularly in low-Earth orbit (LEO), remain largely unexplored. We introduce heterogeneous SDCs composed of large and small nodes, differentiated by computing capability, size, and power budget, to support applications spanning ground, aerial, and in-orbit users. We define use cases, node sizing and placement strategies, and interconnection topologies integrating space-to-space and space-to-ground links. Focusing on dawn-dusk LEO configurations, we analyze solar power availability, visibility windows, and latency-aware coverage. Using baseline workloads for typical scenarios, we evaluate latency and service reliability. We quantify energy requirements of different SDC roles and deployment scales, highlighting trade-offs among node size, orbit selection, and service portfolio, and provide design guidance and future research directions for AI infrastructure in space.
| Subjects: | Systems and Control (eess.SY); Artificial Intelligence (cs.AI) |
| Cite as: | arXiv:2610.32260 [eess.SY] |
| (or arXiv:2610.32260v1 [eess.SY] for this version) | |
| https://doi.org/10.48550/arXiv.2610.32260 arXiv-issued DOI via DataCite (pending registration) |
Submission history
From: Peng Hu [view email]
[v1]
Fri, 23 Oct 2026 07:15:54 UTC (261 KB)
来源：arXiv cs.AI · arxiv.org