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Distributed satellite information networks: architecture, enabling technologies, and trends

  • Qinyu Zhang
  • , Liang Xu
  • , Jianhao Huang
  • , Tao Yang
  • , Jian Jiao*
  • , Ye Wang
  • , Yao Shi
  • , Chiya Zhang
  • , Xingjian Zhang
  • , Ke Zhang
  • , Yupeng Gong
  • , Na Deng
  • , Nan Zhao
  • , Zhen Gao
  • , Shuai Wang
  • , Shujun Han
  • , Xiaodong Xu
  • , Li You
  • , Dongming Wang
  • , Shan Jiang
  • Dixian Zhao, Nan Zhang, Liujun Hu, Xiongwen He, Yonghui Li, Xiqi Gao, Xiaohu You
*Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Pengcheng Laboratory
  • Dalian University of Technology
  • Xidian University
  • Beijing Institute of Technology
  • Beijing University of Posts and Telecommunications
  • Southeast University, Nanjing
  • Purple Mountain Laboratories
  • ZTE Corporation
  • State Key Laboratory of Mobile Network and Mobile Multimedia Technology
  • China Aerospace Science and Technology Corporation
  • University of Sydney

Research output: Contribution to journalReview articlepeer-review

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 (CCS) 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, fundamentally enhancing network resilience. 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, new waveform design, grant-free massive access, nonorthogonal multicast, distributed phased array antennas, high-speed inter-satellite communication, 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.

Original languageEnglish
Article number190301
JournalScience China Information Sciences
Volume68
Issue number9
DOIs
StatePublished - Sep 2025
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 8 - Decent Work and Economic Growth
    SDG 8 Decent Work and Economic Growth

Keywords

  • cohesive clustered satellites system
  • direct satellite-to-device communications
  • distributed regenerative satellite
  • distributed satellite information networks
  • network resource virtualization
  • semantic communications

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