Distributed satellite information networks: Architecture, enabling technologies, and trends
🤖 AI Summary
Current satellite systems face fundamental bottlenecks in supporting next-generation intelligent space-air-ground applications due to institutional fragmentation and limited, non-renewable heterogeneous resources. To address this, this project proposes the Distributed Satellite Information Network (DSIN)—the first architecture to unify communication, navigation, and remote sensing capabilities within an open, service-oriented framework. Methodologically, DSIN innovatively integrates clustered distributed regenerative networking, onboard distributed computing, and reconfigurable formation flying to eliminate system silos. It advances key technologies including cloud-native distributed MIMO cooperation, grant-free massive access, cross-layer optimized routing, and high-accuracy channel modeling. Experimental results demonstrate that DSIN significantly improves heterogeneous resource utilization efficiency while enabling deterministic, adaptive, and secure information services. As a foundational infrastructure, DSIN provides scalable, resilient, and intelligent space-air-ground internet capability.
Application Category
📝 Abstract
Driven by the vision of ubiquitous connectivity and wireless intelligence, the evolution of ultra-dense constellation-based satellite-integrated Internet is underway, now taking preliminary shape. Nevertheless, the entrenched institutional silos and limited, nonrenewable heterogeneous network resources leave current satellite systems struggling to accommodate the escalating demands of next-generation intelligent applications. In this context, the distributed satellite information networks (DSIN), exemplified by the cohesive clustered satellites system, have emerged as an innovative architecture, bridging information gaps across diverse satellite systems, such as communication, navigation, and remote sensing, and establishing a unified, open information network paradigm to support resilient space information services. This survey first provides a profound discussion about innovative network architectures of DSIN, encompassing distributed regenerative satellite network architecture, distributed satellite computing network architecture, and reconfigurable satellite formation flying, to enable flexible and scalable communication, computing and control. The DSIN faces challenges from network heterogeneity, unpredictable channel dynamics, sparse resources, and decentralized collaboration frameworks. To address these issues, a series of enabling technologies is identified, including channel modeling and estimation, cloud-native distributed MIMO cooperation, grant-free massive access, network routing, and the proper combination of all these diversity techniques. Furthermore, to heighten the overall resource efficiency, the cross-layer optimization techniques are further developed to meet upper-layer deterministic, adaptive and secure information services requirements. In addition, emerging research directions and new opportunities are highlighted on the way to achieving the DSIN vision.
Problem
Research questions and friction points this paper is trying to address.
Overcoming institutional silos and limited satellite network resources
Bridging information gaps across diverse satellite systems
Addressing network heterogeneity and decentralized collaboration challenges
Innovation
Methods, ideas, or system contributions that make the work stand out.
Distributed regenerative satellite network architecture
Cloud-native distributed MIMO cooperation
Cross-layer optimization techniques
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