# Space-O-RAN: Enabling Intelligent, Open, and Interoperable Non Terrestrial Networks in 6G

arXiv: https://arxiv.org/abs/2502.15936 · HTML: https://mlsanity.com/paper/2502.15936/

## Key facts

- Cited by 4 papers in the map (data through 14 Oct 2026).
- Builds on 4 of its 26 references that are in the map.
- First posted on arXiv 21 Feb 2025.

## Builds on (most cited first, 4 of 4)

- [Revolutionizing Future Connectivity: A Contemporary Survey on AI-empowered Satellite-based Non-Terrestrial Networks in 6G](https://mlsanity.com/paper/2303.01633/) (2023)
- [Space-ground Fluid AI for 6G Edge Intelligence](https://mlsanity.com/paper/2411.15845/) (2024)
- [Future Space Networks: Toward the Next Giant Leap for Humankind](https://mlsanity.com/paper/2212.05668/) (2022)
- [Non-Terrestrial Networks for 6G: Integrated, Intelligent and Ubiquitous Connectivity](https://mlsanity.com/paper/2407.02184/) (2024)

## Built on by (most cited first, 4 of 4)

- [AI-Native Open RAN for Non-Terrestrial Networks: An Overview](https://mlsanity.com/paper/2507.11935/) (2025)
- [Fed-KAN: Federated Learning with Kolmogorov-Arnold Networks for Traffic Prediction](https://mlsanity.com/paper/2503.00154/) (2025)
- [Agentic Semantic Control for Autonomous Wireless Space Networks: Extending Space-O-RAN with MCP-Driven Distributed Intelligence](https://mlsanity.com/paper/2506.10925/) (2025)
- [Toward Scalable SDN for LEO Mega-Constellations: A Graph Learning Approach](https://mlsanity.com/paper/2604.27478/) (2026)

## Abstract (arXiv)

Satellite networks are rapidly evolving, yet most glsplntn remain isolated from terrestrial orchestration frameworks. Their control architectures are typically monolithic and static, limiting their adaptability to dynamic traffic, topology changes, and mission requirements. These constraints lead to inefficient spectrum use and underutilized network capacity. Although glsai promises automation, its deployment in orbit is limited by computing, energy, and connectivity limitations. This paper introduces Space-O-RAN, a distributed control architecture that extends Open RAN principles into satellite constellations through hierarchical, closed-loop control. Lightweight glspldapp operate onboard satellites, enabling real-time functions like scheduling and beam steering without relying on persistent ground access. Cluster-level coordination is managed via glsplspaceric, which leverage low-latency glsplisl for autonomous decisions in orbit. Strategic tasks, including AI training and policy updates, are transferred to terrestrial platforms glsplsmo using digital twins and feeder links. A key enabler is the dynamic mapping of the O-RAN interfaces to satellite links, supporting adaptive signaling under varying conditions. Simulations using the Starlink topology validate the latency bounds that inform this architectural split, demonstrating both feasibility and scalability for autonomous satellite RAN operations.