异构空间数据中心：面向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
arXiv 论文提出异构空间数据中心（SDC）范式，由计算能力、体积和功耗预算差异化的大、小节点组成，面向地面、空中和在轨用户提供以 AI 为核心的计算与通信服务。研究聚焦晨昏太阳同步低轨（LEO）构型，分析了太阳能供给、可见窗口与时延感知覆盖，并量化不同角色和部署规模的能耗需求，给出节点规模、轨道选择与服务组合间的权衡及设计指导。
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