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Sustainability of Future Satellite Communications: Opportunities and Challenges for 6G and Beyond

A special issue of Sustainability (ISSN 2071-1050).

Deadline for manuscript submissions: 31 January 2025 | Viewed by 3897

Special Issue Editors


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Special Issue Information

Dear Colleagues,

While terrestrial networks have achieved great success in the 3G/4G eras, there are still 750 million people who lack mobile Internet coverage, and half of the world's population lacks Internet access, according to GSMA. Providing Internet access from space is not a new idea for connecting the unconnected, but it was proven unsuccessful in the 1990s via the Iridium bankruptcy. For 6G and beyond, large low Earth orbit (LEO) satellite constellations are proposed to provide global broadband access with digital communication payloads, advanced modulation schemes, multi-beam antennas, more sophisticated frequency reuse schemes, cost reductions from advanced manufacturing processes, and reduced launch costs. Some famous LEO satellite constellations include SpaceX’s Starlink, OneWeb, and Telesat, and Starlink has planned a mega-constellation consisting of 42,000 satellites.

Concerns arise about the sustainability of these fast-growing mega-constellations. The first concern is economic sustainability, as the revenue from the satellite Internet services may not cover the launch and maintenance costs, especially when an LEO satellite has an average lifespan of 5 years. Satellite Internet connectivity is less expensive than laying millions of miles of fiber optic cable for rural and hard-to-reach areas but is more expensive than cellular networks in densely populated metropolitan areas.

The second concern is space sustainability, as the spectrum-orbit resource is valuable and indispensable. It has been reported that the first batch of Starlink satellites has a failure ratio of at least five percent, highlighting the growing concerns that satellite mega-constellations could litter the low Earth orbit with hundreds of dead satellites.

The third concern is environmental sustainability, as the likelihood of collisions grows proportionately with mega-constellation size. Space debris may pose a hazard to Earth's atmosphere, with unexpected environmental problems. The disruptive light streaks from the Starlink satellite constellation have already affected astronomical observations, and this problem will expand with the launch of more satellites.

In this Special Issue, we invite you to submit high-quality papers on the "Sustainability of Future Satellite Communications: Opportunities and Challenges for 6G and beyond". The scope of this Special Issue is a broad and cross-disciplinary analysis of the sustainability and symmetry techniques in future satellite communications, which is aligned with the scope of the journals Sustainability and Symmetry. This Special Issue aims to draw attention to related research topics from various research communities, e.g., from the engineering, environment, and economic communities, and to help build a sustainable solution together for the unconnected in the 6G eras with symmetry techniques. To our knowledge, this research theme has not been fully discussed in the literature. The following is a (non-exhaustive) list of topics of interest:

  • Information and communication engineering with satellite communications;
  • Techno-economic analysis of satellite communications;
  • Sustainability issues of satellite communications;
  • Economic, space, and environmental sustainability of satellite communications;
  • Symmetry techniques for satellite communications;
  • Technological development for satellite communications;
  • Novel network management schemes for satellite communications;
  • Artificial intelligence techniques for satellite communications;
  • Big data techniques for satellite communications;
  • Sustainable infrastructures for satellite communications;
  • Challenges and opportunities to develop sustainable satellite communication systems.

You may choose our Joint Special Issue in Symmetry.

Prof. Dr. Ray E. Sheriff
Dr. Ayman Radwan
Dr. Weiwei Jiang
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Sustainability is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 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
  • communication engineering
  • technical sustainability
  • network management
  • resource allocation
  • artificial intelligence
  • big data
  • 6G communication

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Published Papers (2 papers)

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20 pages, 748 KiB  
Article
Edge-Distributed IoT Services Assist the Economic Sustainability of LEO Satellite Constellation Construction
by Meng Zhang, Hongjian Shi and Ruhui Ma
Sustainability 2024, 16(4), 1599; https://doi.org/10.3390/su16041599 - 14 Feb 2024
Viewed by 1015
Abstract
There are thousands or even tens of thousands of satellites in Low Earth Orbit (LEO). How to ensure the economic sustainability of LEO satellite constellation construction is an important issue currently. In this article, we envision integrating the popular and promising Internet of [...] Read more.
There are thousands or even tens of thousands of satellites in Low Earth Orbit (LEO). How to ensure the economic sustainability of LEO satellite constellation construction is an important issue currently. In this article, we envision integrating the popular and promising Internet of Things (IoT) technology with LEO satellite constellations to indirectly provide economic support for LEO satellite construction through paid IoT services. Of course, this can also bring benefits to the development of IoT. LEO Satellites can provide networks for IoT products in areas with difficult conditions, such as deserts, oceans, etc., and Satellite Edge Computing (SEC) can help to reduce the service latency of IoT. Many IoT products rely on Convolutional Neural Networks (CNNs) to provide services, and it is difficult to perform CNN inference on an edge server solely. Therefore, in this article, we use edge-distributed inference to enable the IoT services in the SEC scenario. How to perform edge-distributed inference to shorten inference time is a challenge. To shorten the inference latency of CNN, we propose a framework based on a joint partition, named EDIJP. We use a joint partition method combining data partition and model partition for distributed partition. We model the data partition as a Linear Programming (LP) problem. To address the challenge of trading off computation latency and communication latency, we designed an iterative algorithm to obtain the final partitioning result. By maintaining the original structure and parameters, our framework ensures that the inference accuracy will not be affected. We simulated the SEC environment, based on two popular CNN models, VGG16 and AlexNet, the performance of our method is varified. Compared with local inference, EdgeFlow, and CoEdge, the inference latency by using EDIJP is shorter. Full article
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Review

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34 pages, 549 KiB  
Review
Graph Neural Networks for Routing Optimization: Challenges and Opportunities
by Weiwei Jiang, Haoyu Han, Yang Zhang, Ji’an Wang, Miao He, Weixi Gu, Jianbin Mu and Xirong Cheng
Sustainability 2024, 16(21), 9239; https://doi.org/10.3390/su16219239 - 24 Oct 2024
Viewed by 1432
Abstract
In this paper, we explore the emerging role of graph neural networks (GNNs) in optimizing routing for next-generation communication networks. Traditional routing protocols, such as OSPF or the Dijkstra algorithm, often fall short in handling the complexity, scalability, and dynamic nature of modern [...] Read more.
In this paper, we explore the emerging role of graph neural networks (GNNs) in optimizing routing for next-generation communication networks. Traditional routing protocols, such as OSPF or the Dijkstra algorithm, often fall short in handling the complexity, scalability, and dynamic nature of modern network environments, including unmanned aerial vehicle (UAV), satellite, and 5G networks. By leveraging their ability to model network topologies and learn from complex interdependencies between nodes and links, GNNs offer a promising solution for distributed and scalable routing optimization. This paper provides a comprehensive review of the latest research on GNN-based routing methods, categorizing them into supervised learning for network modeling, supervised learning for routing optimization, and reinforcement learning for dynamic routing tasks. We also present a detailed analysis of existing datasets, tools, and benchmarking practices. Key challenges related to scalability, real-world deployment, explainability, and security are discussed, alongside future research directions that involve federated learning, self-supervised learning, and online learning techniques to further enhance GNN applicability. This study serves as the first comprehensive survey of GNNs for routing optimization, aiming to inspire further research and practical applications in future communication networks. Full article
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