Satellite Terrestrial Networks: Technologies, Security and Applications

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Networks".

Deadline for manuscript submissions: 20 October 2024 | Viewed by 4550

Special Issue Editor


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Guest Editor
School of Information and Communication Engineering, Beijing University of Posts and Telecommunications, Beijing 100876, China
Interests: satellite terrestrial integrated network; multi-edge computing; green communication; compute first network

Special Issue Information

Dear Colleagues,

In order to meet the continuously expanding application requirements of next-generation mobile communication in global-wide coverage, large-scale flexible access, and emergency communication, the satellite terrestrial integrated network, as one of the key technologies in future 6G, integrates satellite communication network and ground mobile network, towards deep integration in systems, technologies, and applications.

Due to significant differences in performance such as latency, reliability, throughput, and security in different communication systems, there are still many problems and challenges involved in the research of satellite terrestrial integrated networks in terms of architecture, key technologies, experimental platforms, technical standards, security, and future applications.

This Special Issue focuses on the technology, security, and applications of key satellite terrestrial networks in the next-generation communication system. We hope that the launch of this topic can introduce the latest research results of satellite terrestrial networks from different perspectives, to provide technical approaches and standard development references, inspiration, and reference for related fields of research and application, and jointly promote the 6G research and development process.

In this Special Issue, original research articles and reviews are welcome. Research areas may include, but are not limited to, the following:

  • Network Architecture of Satellite Terrestrial Networks;
  • Beam Hopping Management and Interference Coordination Technology in Satellite Terrestrial Networks;
  • Resource perception and intelligent scheduling technology in Satellite Terrestrial Networks;
  • Physical Layer Security Access Technology in Satellite Terrestrial Networks;
  • Edge computing and Intelligent Processing in Satellite Terrestrial Networks;
  • Networking Theory and Routing Algorithm in Satellite Terrestrial Networks;
  • Prospects for the Application in Satellite Terrestrial Networks;
  • Coordination of Computing, Caching, and Perception in Satellite Terrestrial Networks;
  • Secure Transmission and Privacy Protection in Satellite Terrestrial Networks;
  • Spectrum sensing and spectrum sharing technology in Satellite Terrestrial Networks.

Dr. Jiaxin Zhang
Guest Editor

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Keywords

  • satellite terrestrial networks
  • resource management
  • secure transmission and privacy protection
  • edge computing and intelligent processing
  • networking theory and routing algorithm
  • beam hopping management

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Published Papers (4 papers)

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Research

20 pages, 15437 KiB  
Article
Deep Reinforcement Learning-Based Multipath Routing for LEO Megaconstellation Networks
by Chi Han, Wei Xiong and Ronghuan Yu
Electronics 2024, 13(15), 3054; https://doi.org/10.3390/electronics13153054 - 1 Aug 2024
Viewed by 393
Abstract
The expansion of megaconstellation networks (MCNs) represents a promising solution for achieving global Internet coverage. To meet the growing demand for satellite services, multipath routing allows the simultaneous establishment of multiple transmission paths, enabling the transmission of flows in parallel. Nevertheless, the mobility [...] Read more.
The expansion of megaconstellation networks (MCNs) represents a promising solution for achieving global Internet coverage. To meet the growing demand for satellite services, multipath routing allows the simultaneous establishment of multiple transmission paths, enabling the transmission of flows in parallel. Nevertheless, the mobility of satellites and time-varying link states presents a challenge for the discovery of optimal paths and traffic scheduling in multipath routing. Given the inflexibility of traditional static deep reinforcement learning (DRL)-based routing algorithms in dealing with time-varying constellation topologies, DRL-based multipath routing (DMR) enabled by a graph neural network (GNN) is proposed as a means of enhancing the transmission performance of MCNs. DMR decouples the stochastic optimization problem of multipath routing under traffic and bandwidth constraints into two subproblems: multipath routing discovery and multipath traffic scheduling. Firstly, the minimum hop count-based multipath route discovery algorithm (MHMRD) is proposed for the computation of multiple available paths between all source and destination nodes. Secondly, the GNN-based multipath traffic scheduling scheme (GMTS) is proposed as a means of dynamically scheduling the traffic on each available path for each data stream, based on the state information of ISLs and traffic demand. Simulation results demonstrate that the proposed scheme can be scaled to constellations with different configurations without the necessity for repeated training and enhance the throughput, completion ratio, and delay by 42.64%, 17.39%, and 3.66% in comparison with the shortest path first algorithm (SPF), respectively. Full article
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16 pages, 4075 KiB  
Article
Optimal Beamwidth for Maximizing Uplink Coverage Probability in Quasi Earth-Fixed LEO Satellite Communication System
by Chun-Tai Liu and Jen-Yi Pan
Electronics 2024, 13(7), 1349; https://doi.org/10.3390/electronics13071349 - 3 Apr 2024
Viewed by 742
Abstract
Satellite communication is proposed to fulfill the ubiquitous coverage for next-generation wireless networks. Considering the propagation delay and path loss, low-earth orbit (LEO) satellites are widely adopted. However, since the beam boresight directions become close in quasi-earth-fixed cells (QEFC) scenarios at low elevation [...] Read more.
Satellite communication is proposed to fulfill the ubiquitous coverage for next-generation wireless networks. Considering the propagation delay and path loss, low-earth orbit (LEO) satellites are widely adopted. However, since the beam boresight directions become close in quasi-earth-fixed cells (QEFC) scenarios at low elevation angles, the interference increases and causes low communication quality. This paper introduces the optimal beamwidth maximizing uplink coverage probability scheme for quasi-earth-fixed cells in LEO satellite communication systems. The proposed scheme dynamically adjusts the beamwidth to achieve max uplink coverage probability at different elevation angles. The simulation results show that the proposed scheme matches the exhaustive search method in different scenarios and target signal-to-interference-plus-noise ratios. Furthermore, the proposed scheme significantly mitigates interference and improves the uplink coverage probability. Compared with the 3GPP setting, the proposed scheme improves the uplink coverage probability by 0.93 at time 100 s, and compared with the three-color frequency reuse, the proposed scheme improves the uplink coverage probability by 0.195 at time 100 s. The dynamic beamwidth and boresight direction adjustments enable the satellite to maintain seamless and reliable communication services across a wide range of operating conditions, ultimately realizing the goal of ubiquitous communications in the QEFC LEO satellite system. Full article
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21 pages, 6588 KiB  
Article
A Capacity Enhancement Method for Frequency-Hopping Anti-Jamming Communication Systems
by Ziting Yu, Zhisong Hao, Wang Yao and Min Jia
Electronics 2023, 12(21), 4457; https://doi.org/10.3390/electronics12214457 - 30 Oct 2023
Cited by 1 | Viewed by 1345
Abstract
In this paper, we study the enhancement of channel transmission information by expanding the transmission channel in the frequency-hopping rate dimension in a communication system. This is achieved using the frequency-hopping spread spectrum (FHSS) without increasing communication resources, such as power and bandwidth. [...] Read more.
In this paper, we study the enhancement of channel transmission information by expanding the transmission channel in the frequency-hopping rate dimension in a communication system. This is achieved using the frequency-hopping spread spectrum (FHSS) without increasing communication resources, such as power and bandwidth. The anti-jamming capability of the original information is maintained during this process. The spectral characteristics of the extended signal for frequency-hopping (FH) transmission are investigated, a demodulation method based on carrier reconstruction is proposed, the bit error rate performance is simulated, and the capacity enhancement and anti-jamming ability of the extended signal for FH transmission are analyzed. Full article
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15 pages, 2106 KiB  
Article
ComEdge: Cloud-Native Platform for Integrated Computing and Communication in Satellite–Terrestrial Network
by Haoyang Shi, Xing Zhang, Peixuan Wu, Jingkai Chen and Yufei Zhang
Electronics 2023, 12(20), 4252; https://doi.org/10.3390/electronics12204252 - 14 Oct 2023
Cited by 1 | Viewed by 1196
Abstract
Leveraging technological advancements such as containers, microservices, and service mesh, cloud-native edge computing (CNEC) has become extensively discussed and applied in both academia and industry. The integration of mobile edge computing and communication is crucial for the future communication architecture in order to [...] Read more.
Leveraging technological advancements such as containers, microservices, and service mesh, cloud-native edge computing (CNEC) has become extensively discussed and applied in both academia and industry. The integration of mobile edge computing and communication is crucial for the future communication architecture in order to fully utilize distributed and fragmented communication resources and computing power. The potential for cloud-native integration can help merge mobile edge computing and communication, enhancing network flexibility and resource utilization. This paper investigates the implementation plan for extending cloud-native capabilities to integrated computing and communication (INCCOM) in the satellite–terrestrial network. We construct an experimental verification platform called ComEdge in a real-world setting. Subsequently, we analyze the architecture, functional characteristics, and deployment of the platform in a real-world environment. Furthermore, we explore the solution of deep reinforcement learning in the deployment of cloud-native core network and conduct a preliminary verification of the platform’s potential to enable artificial intelligence in a real production environment, which will provide guidance to both academic and industry sectors. Finally, we conduct an analysis on the challenges and opportunities encountered by the cloud-native INCCOM network system. Full article
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