Distributed satellite information networks: Architecture, enabling technologies, and trends
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 resour...
Gespeichert in:
Hauptverfasser: | , , , , , , , , , , , , , , , , , , , , , , , , , |
---|---|
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext bestellen |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
Zusammenfassung: | 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. |
---|---|
DOI: | 10.48550/arxiv.2412.12587 |