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New Trends in Networking for Satellite Communications

A special issue of Sensors (ISSN 1424-8220). This special issue belongs to the section "Communications".

Deadline for manuscript submissions: 15 August 2026 | Viewed by 811

Special Issue Editors


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Guest Editor
School of Information and Control Engineering, China University of Mining and Technology, Xuzhou 221116, China
Interests: Industrial Internet of Things; edge computing

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Guest Editor
Faculty of Automation and Computers, Department of Automation and Applied Informatics, Politehnica University of Timisoara, 300223 Timisoara, Romania
Interests: control systems; fuzzy control systems; neural network applications; sensor network applications; control of electric drives; power ultrasound applications; modeling; simulation
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Special Issue Information

Dear Colleagues,

Recently, we have seen a growing interest in the fundamental theory, key technology, and applications of satellite communication and networks, which are regarded as fundamental for 6G to provide global coverage to a wide range of technological applications requiring high availability and high resilience. In particular, the integration of satellites with future aerial or terrestrial networks has motivated the study of new communication, networking, and computation paradigms and attracted significant interest from both academic and industrial communities. This Special Issue therefore aims to bring together original research and review articles on new trends in the field of satellite communications and networking.

Potential topics include, but are not limited to, the following:

  • AI-driven design in networking for satellite communications;
  • Integrated sensing and communications in satellite communication networks;
  • Next-generation multiple access for satellite communication networks;
  • Delay-tolerant networking for satellite networks;
  • Advanced coding, modulation, and synchronization schemes for satellite communications;
  • Satellite edge computing;
  • Antennas for satellite communications;
  • Satellite and space communications and networking;
  • Advanced MIMO designs for satellite communications;
  • The standardization of 6G for satellite communication and networking.

Dr. Song Li
Prof. Dr. Constantin Volosencu
Guest Editors

Manuscript Submission Information

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Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • satellite communication
  • satellite network
  • non-terrestrial networks
  • space–terrestrial integrated 6G networks
  • low-earth-orbit satellites
  • satellite computing

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Published Papers (1 paper)

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Research

20 pages, 766 KB  
Article
QIMO: Q-Learning-Based Adaptive Impairment Margin Optimization in DVB-S2X Satellite Communication
by Dieter Coppens, Jaron Fontaine, Brecht Reynders, Dieter Duyck, Ingrid Moerman, Eli De Poorter and Adnan Shahid
Sensors 2026, 26(5), 1462; https://doi.org/10.3390/s26051462 - 26 Feb 2026
Viewed by 352
Abstract
Adaptive coding and modulation (ACM) is a key feature in satellite broadcasting; it allows the dynamic selection of modulation and coding (MODCOD) schemes based on channel conditions. The selection is based on the quasi-error-free (QEF) threshold and additional margins. We introduce three distinct [...] Read more.
Adaptive coding and modulation (ACM) is a key feature in satellite broadcasting; it allows the dynamic selection of modulation and coding (MODCOD) schemes based on channel conditions. The selection is based on the quasi-error-free (QEF) threshold and additional margins. We introduce three distinct types of margins for improved robustness. One of these margins, impairment margin (IM), depends on the nonlinearities of different components in the satellite channel. Current IM selection methods require expert intervention; are costly and prone to errors; and only allow a discrete set of environments. We aim to develop a low-complexity algorithm that converges fast and is quasi-error-free on user traffic due to a non-intrusive exploration method. For this, we propose a Q-learning-based solution that uses passive exploration, with fill frames, to allow error-free IM optimization. Our solution shows a higher average spectrum efficiency compared to expert and default IMs, with fewer low efficiency test cases and more high-efficiency cases. Full article
(This article belongs to the Special Issue New Trends in Networking for Satellite Communications)
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