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Electronics
Special Issues
New Technologies in Space-Ground Integrated Network
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New Technologies in Space-Ground Integrated Network

A special issue of Electronics (ISSN 2079-9292). This special issue belongs to the section "Microwave and Wireless Communications".

Deadline for manuscript submissions: closed (31 July 2022) | Viewed by 4373

Special Issue Editors

Prof. Shu Fu

E-Mail Website
Leading Guest Editor
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
Interests: B5G/6G ultra-dense cellular network; UAV; low orbit satellite communication
Special Issues, Collections and Topics in MDPI journals
Dr. Chen Chen

E-Mail Website
Co-Guest Editor
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing 400044, China
Interests: visible light communication and positioning; advanced modulation; multiple access and multiplexing
Special Issues, Collections and Topics in MDPI journals
Dr. Yueyue Dai

E-Mail Website
Co-Guest Editor
School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore 639798, Singapore
Interests: edge computing; Internet of Things; blockchain

Special Issue Information

Dear Colleagues,

As we all know, space–ground integrated networks (SGINs) are a promising technology toward 6G. Many researchers are currently working on integrated multiresource allocation in satellite–terrestrial communication, new switching and routing architectures among satellites with a terahertz signal, etc., which have been research hotspots in the field. Furthermore, to cope with complex network optimization, artificial intelligence (AI)-based spectrum sensing, signal detection, and multiresource allocation are exploited in space–ground integrated networks. Reconfigurable intelligent surface and optical wireless communication in space–ground integrated network are also research directions worth exploring, as are UAV-enabled visible light emergency lighting and communication, laser-based space communication techniques, massive MIMO, etc. This Special Issue aims to encourage a more in-depth investigation of space–ground integrated networks and thus calls for high-quality papers on algorithm design, technology experiments, and surveys.

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

  • 6G in space-ground integrated network (SGINs);
  • Information and communication theory for SGINs;
  • Multiresource allocation in SGINs;
  • Artificial intelligence in SGINs;
  • Big data analysis for SGINs;
  • Security and privacy in SGINs. 

Dr. Shu Fu
Dr. Chen Chen
Dr. Yueyue Dai
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. Electronics 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

  • space-ground integrated network
  • multiresource allocation
  • artificial intelligence
  • network optimization
  • 6G

Published Papers (3 papers)

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Research

15 pages, 5456 KiB  
Article
Research on BeiDou B1C Signal Abnormal Monitoring Algorithm Based on Machine Learning
by Liang Liu, Baoguo Yu, Qingwu Yi, Jingbo Zhao, Jianglei Yang and Chengjun Guo
Electronics 2022, 11(19), 3201; https://doi.org/10.3390/electronics11193201 - 06 Oct 2022
Viewed by 1095
Abstract
High-precision systems such as civil aviation have put forward higher requirements for navigation systems, including indicators such as accuracy and integrity. Signal distortions and evil waveforms (EWF) generated by the signal-generating hardware on the satellite can severely affect the cross-correlation function of the [...] Read more.
High-precision systems such as civil aviation have put forward higher requirements for navigation systems, including indicators such as accuracy and integrity. Signal distortions and evil waveforms (EWF) generated by the signal-generating hardware on the satellite can severely affect the cross-correlation function of the signal, thereby affecting the integrity of the navigation system. With the further development of the BeiDou Navigation System (BDS), the types of signal distortion are subdivided into three types: analog distortion, subcarrier distortion, and PN code distortion. Traditional multi-correlator methods are no longer applicable under the requirements of modern navigation systems. In this paper, a machine learning-based BeiDou B1C signal anomaly monitoring algorithm is proposed. We detected and classified the signals using a quadratic discriminant analysis (QDA) method. The results show that our method can accurately classify the distortion types under the condition that the accuracy of distortion detection can be greatly improved. Meanwhile, our method is also highly effective and robust. Full article
(This article belongs to the Special Issue New Technologies in Space-Ground Integrated Network)
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15 pages, 5122 KiB  
Article
A Vehicle–Ground Integration Information Network Scheme Based on Small Base Stations
by Xingzhi Dong, Ping Li, Qirui Yu and Yuhao Zhu
Electronics 2022, 11(12), 1824; https://doi.org/10.3390/electronics11121824 - 08 Jun 2022
Cited by 1 | Viewed by 1259
Abstract
The transmission bandwidth of a vehicle–ground connection is low when an EMU (electric multiple unit) is running in a high-speed scenario. To this end, this paper focuses on the need to solve the problem of the poor bandwidth of the vehicle–ground integration information [...] Read more.
The transmission bandwidth of a vehicle–ground connection is low when an EMU (electric multiple unit) is running in a high-speed scenario. To this end, this paper focuses on the need to solve the problem of the poor bandwidth of the vehicle–ground integration information network, and proposes a vehicle–ground integration information network scheme for EMUs based on small base stations. Based on the existing wi-fi system of the EMU, in order to realize the coverage of the 5G signal in the carriage, this paper—through the deployment of the technical characteristics of 5G—sinks the customized UPF (user plane function) and MEC (mobile edge computing) to the train carriage, and expands the internet channels of the train carriage. Relying on the technologies of MEC and CDN (content delivery network) for high-speed railways, network extension service products can satisfy passengers’ needs around network rate and delay. On the one hand, this can relieve the pressure of the network backhaul and save the bandwidth resources of the vehicle–ground integration information network. On the other hand, it can help operators to reduce the investment of network construction, operation, and maintenance. As a result, the proposed scheme can inspire the products that match the extended service needs of the passenger, realize the technical and innovation value of the 5G mobile network, and achieve business model innovation in high-speed mobile scenarios. Full article
(This article belongs to the Special Issue New Technologies in Space-Ground Integrated Network)
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12 pages, 700 KiB  
Article
Independent Vector Analysis for Blind Deconvolving of Digital Modulated Communication Signals
by Zhongqiang Luo, Ruiming Guo and Chengjie Li
Electronics 2022, 11(9), 1460; https://doi.org/10.3390/electronics11091460 - 03 May 2022
Cited by 7 | Viewed by 1348
Abstract
For the purpose of overcoming the random permutation ambiguity of the frequency-domain-independent component analysis (FDICA) for blind separation of convolutive mixtures, this paper proposes an independent vector analysis (IVA) detection receiver for blindly deconvolving the convolutive mixtures of digitally modulated signals for wireless [...] Read more.
For the purpose of overcoming the random permutation ambiguity of the frequency-domain-independent component analysis (FDICA) for blind separation of convolutive mixtures, this paper proposes an independent vector analysis (IVA) detection receiver for blindly deconvolving the convolutive mixtures of digitally modulated signals for wireless communications. The foundation of IVA is through jointly carrying out separation work for different frequency bin data fusion, and the dependencies of frequency bins are exploited in solving the random permutation problem of separation signals. In addition, IVA uses multivariate prior distributions instead of the univariate distribution used in FDICA. Multivariate prior distribution is employed to preserve the interfrequency dependencies for individual sources, which can give rise to separation performance enhancement. Simulation results and analysis corroborate the effectiveness of the proposed detection method. Full article
(This article belongs to the Special Issue New Technologies in Space-Ground Integrated Network)
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