Chengleyang Lei
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
Authors
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 |
Files
Published Journal Article (Advance Online Version)
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PDF
Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/
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