TY - JOUR
T1 - Distributed satellite information networks
T2 - architecture, enabling technologies, and trends
AU - Zhang, Qinyu
AU - Xu, Liang
AU - Huang, Jianhao
AU - Yang, Tao
AU - Jiao, Jian
AU - Wang, Ye
AU - Shi, Yao
AU - Zhang, Chiya
AU - Zhang, Xingjian
AU - Zhang, Ke
AU - Gong, Yupeng
AU - Deng, Na
AU - Zhao, Nan
AU - Gao, Zhen
AU - Wang, Shuai
AU - Han, Shujun
AU - Xu, Xiaodong
AU - You, Li
AU - Wang, Dongming
AU - Jiang, Shan
AU - Zhao, Dixian
AU - Zhang, Nan
AU - Hu, Liujun
AU - He, Xiongwen
AU - Li, Yonghui
AU - Gao, Xiqi
AU - You, Xiaohu
N1 - Publisher Copyright:
© The Author(s) 2025.
PY - 2025/9
Y1 - 2025/9
N2 - 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.
AB - 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.
KW - cohesive clustered satellites system
KW - direct satellite-to-device communications
KW - distributed regenerative satellite
KW - distributed satellite information networks
KW - network resource virtualization
KW - semantic communications
UR - https://www.scopus.com/pages/publications/105016643994
U2 - 10.1007/s11432-024-4408-1
DO - 10.1007/s11432-024-4408-1
M3 - Review article
AN - SCOPUS:105016643994
SN - 1674-733X
VL - 68
JO - Science China Information Sciences
JF - Science China Information Sciences
IS - 9
M1 - 190301
ER -