From Connectivity to Multi-Orbit Intelligence: Space-Based Data Center Architectures for 6G and Beyond

2026-03-19

AI Summary

This work addresses the challenges of mobility management, interference control, and spectral efficiency in large-scale direct-to-cell low Earth orbit (LEO) satellite communications by proposing a novel multi-orbit hierarchical space data center architecture that integrates LEO, medium Earth orbit (MEO), and geostationary Earth orbit (GEO) segments. The architecture uniquely combines distributed in-orbit computing, energy-aware scheduling, AI-driven hierarchical control, and computation-aware routing to enable synergistic optimization across access, regional aggregation, and global coordination layers. By transcending conventional relay paradigms, the resulting intelligent constellation system significantly enhances scalability and robustness, establishing a new architectural paradigm for 6G non-terrestrial networks capable of efficiently supporting massive direct terminal connectivity and intelligent services.

Technology Category

• Planning, Routing, and Scheduling: Optimization of Spatio-temporal Systems
• Cognitive Modeling & Cognitive Systems: Agent Architectures
• Machine Learning: Deep Neural Architectures and Foundation Models

Application Category

• Systems and Infrastructure for Web, Mobile and WoT: Data management and stream processing for Web, mobile and wireless applications
• Economics, Online Markets and Human Computation: Architectures and workflows that use LLMs for crowd work
• Social Networks and Social Media: Generative AI / large language models and their impact on social systems

Abstract

Direct handset-to-satellite (DHTS) communication is emerging as a core capability of 6G non-terrestrial networks, enabling standard devices to directly access low Earth orbit (LEO) satellites. While LEO provides the physical access layer for DHTS, large-scale device connectivity introduces challenges in mobility management, interference control, spectrum efficiency, and constellation-wide coordination. Relay-only LEO architectures are insufficient to manage massive handset access under dynamic traffic and energy constraints. This article introduces a hierarchical architecture in which direct handset-to-LEO access is supported by multi-orbit space-based data centers (SBDCs) spanning LEO, medium Earth orbit (MEO), and geostationary Earth orbit (GEO). In this framework, LEO satellites handle radio access and real-time inference, while higher orbital layers provide regional aggregation, global orchestration, and compute-aware routing. By embedding distributed in-orbit computing, energy-aware scheduling, and AI-driven hierarchical control, the constellation evolves from a passive relay network into an intelligent multi-layer system capable of supporting large-scale DHTS services. We discuss key enabling technologies, envisioned multi-orbit integrated Earth-space compute architecture, and open research challenges in integrating multi-orbit computing, highlighting pathways toward scalable and resilient 6G DHTS networks.

Problem

• handset-to-satellite communication
• LEO satellites
• mobility management
• interference control
• spectrum efficiency

Innovation

• multi-orbit intelligence
• space-based data center
• handset-to-satellite communication
• in-orbit computing
• AI-driven hierarchical control