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Satellite-UAV Networks for 6G Control: A Sensing-Communication-Computing-Control Closed Loop Perspective

Lei, Chengleyang; Fang, Xinran; Feng, Wei; Chen, Yunfei; Xiao, Ming; Ge, Ning; Mao, Shiwen

Satellite-UAV Networks for 6G Control: A Sensing-Communication-Computing-Control Closed Loop Perspective Thumbnail


Authors

Chengleyang Lei

Xinran Fang

Wei Feng

Ming Xiao

Ning Ge

Shiwen Mao



Abstract

The future sixth-generation (6G) networks are envisioned to support machines and robots besides human beings. In order to efficiently support machines and robots working in remote and post-disaster areas, satellites and unmanned aerial vehicles (UAVs) can be utilized. In this article, we investigate how satellite-UAV networks can serve robots for their control tasks. We introduce the typical use cases of the satellite-UAV networks for control and outline the relevant challenges. The control process usually involves sensing, communication, computing, and control components, which forms a sensing-communication-computing-control (SC3) closed loop. In analogy with the reflex arc structure of humans, we reveal the indivisibility of the SC3 closed loops and propose a closed-loop-oriented system design framework. Within this framework, we take the closed-loop control performance as the design target, and highlight the holistic consideration of sensing, communication, computing, and control components in the SC3 closed loop. Furthermore, we discuss the extended SC3 closed loop with multiple sensors and robots to decompose complex control systems. A case study is provided to show the performance gain of the proposed closed-loop-oriented system design. Finally, we outline open issues in designing more efficient satellite-UAV networks for control.

Citation

Lei, C., Fang, X., Feng, W., Chen, Y., Xiao, M., Ge, N., & Mao, S. (online). Satellite-UAV Networks for 6G Control: A Sensing-Communication-Computing-Control Closed Loop Perspective. IEEE Network, https://doi.org/10.1109/MNET.2025.3551343

Journal Article Type Article
Acceptance Date Feb 14, 2025
Online Publication Date Mar 14, 2025
Deposit Date Jun 2, 2025
Publicly Available Date Jun 2, 2025
Journal IEEE Network
Print ISSN 0890-8044
Electronic ISSN 1558-156X
Publisher Institute of Electrical and Electronics Engineers
Peer Reviewed Peer Reviewed
DOI https://doi.org/10.1109/MNET.2025.3551343
Public URL https://durham-repository.worktribe.com/output/4048698

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