Propagation Model Driven Spectrum Twin and Its Applications

A special issue of Symmetry (ISSN 2073-8994). This special issue belongs to the section "Computer".

Deadline for manuscript submissions: closed (31 August 2022) | Viewed by 6236

Special Issue Editors


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Guest Editor
Department of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, China
Interests: UAV channel modeling; UAV channel hardware emulation; spectrum sensing and mapping; UAV communications
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Guest Editor
College of Astronautics, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

E-Mail Website
Guest Editor
College of electronic and information engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China

Special Issue Information

Dear Colleagues,

With the challenges of spectrum shortage and security in the communication and radar systems, it becomes an urgent issue to efficiently allocate and manage spectrum resources. The spectrum map can visually display the spectrum information, i.e., signal strength, channel gain, and interference, while the spectrum twin can reproduce these characteristic in the lab. Instead of high-cost field test, it is an efficient, repeatable, and controllable way to validate the spectrum related applications in the lab.

Channel model describes the propagation process of wireless signal based on the electromagnetic field theory. It can be used to speed up the reconstruction of spectrum map. Moreover, symmetry has an important role in the spectrum visualization as well as twin, since it can be used to reduce the complexity in dealing with the mass spectrum data under realistic environments.

Electromagnetic spectrum is fundamental for radar and communication systems. As the demand continues to grow for more access to the spectrum, where will be ever-growing competition for the finite spectrum resource. The problem of meeting this demand may be addressed by intelligent spectrum-twin based joint design for radar and communication systems. This Special Issue is devoted to recent advances in spectrum twin and its applications.

Dr. Qiuming Zhu
Dr. Weizhi Zhong
Dr. Jie Li
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. Symmetry is an international peer-reviewed open access monthly journal published by MDPI.

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Keywords

  • signal propagation theory
  • channel modeling and simulation
  • spectrum visualization and mapping system
  • spectrum-oriented adaptive sampling trajectory
  • beam sensing and mapping
  • radar spectrum twin and management
  • location of spectrum radiation source
  • spectrum-twin based waveform design for radar and communication coexistence
  • spectrum-twin based channel tracking theory

Published Papers (4 papers)

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Research

18 pages, 2682 KiB  
Article
Analysis and Design of Enhanced Distributed Fountain Codes in Multiple Access Networks with Cooperative Relay
by Hanqin Shao, Hongbo Zhu and Junwei Bao
Symmetry 2022, 14(10), 2026; https://doi.org/10.3390/sym14102026 - 27 Sep 2022
Cited by 1 | Viewed by 1172
Abstract
Distributed fountain coding plays an important role in rateless code research. The reliability and effectiveness of these coding schemes are increasingly challenged with the growing applications. In this paper, a novel multiple-access network with cooperative relay is presented, and a novel enhanced distributed [...] Read more.
Distributed fountain coding plays an important role in rateless code research. The reliability and effectiveness of these coding schemes are increasingly challenged with the growing applications. In this paper, a novel multiple-access network with cooperative relay is presented, and a novel enhanced distributed fountain coding scheme for this network is proposed. The overall degree distributions are derived, and the asymptotic decoding performance is analyzed theoretically by employing the And-Or tree method. On this basis, a design method using joint iterative optimization algorithms is proposed to optimize the degree distributions of the sources and relays. Simulation results show that the proposed enhanced distributed fountain codes outperform the existing generalized distributed fountain codes (GDFC) and have a good performance on both lossless and lossy channels. It reveals that the proposed codes can provide unequal error protection (UEP) property for different sources by introducing the extra cooperative relay. The performance improvement is not restricted to the sources connected to the cooperative relay but applies to all sources. With the additional relay, the proposed codes are able to overcome the effects of bad channel conditions caused by terrain, obstacles, and so on, to avoid communication interruptions and improve the reliability of the network. Full article
(This article belongs to the Special Issue Propagation Model Driven Spectrum Twin and Its Applications)
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14 pages, 2547 KiB  
Article
An Improved SVM-Based Air-to-Ground Communication Scenario Identification Method Using Channel Characteristics
by Guyue Zhu, Yuanjian Liu, Kai Mao, Jingyi Zhang, Boyu Hua and Shuangde Li
Symmetry 2022, 14(5), 1038; https://doi.org/10.3390/sym14051038 - 19 May 2022
Cited by 1 | Viewed by 1344
Abstract
Scenario identification plays an important role in assisting unmanned aerial vehicle (UAV) cognitive communications. Based on the scenario-dependent channel characteristics, a support vector machine (SVM)-based air-to-ground (A2G) scenario identification model is proposed. In the proposed model, the height of the UAV is also [...] Read more.
Scenario identification plays an important role in assisting unmanned aerial vehicle (UAV) cognitive communications. Based on the scenario-dependent channel characteristics, a support vector machine (SVM)-based air-to-ground (A2G) scenario identification model is proposed. In the proposed model, the height of the UAV is also used as a feature to improve the identification accuracy. On the basis, an improved scenario identification method is developed including dataset acquisition, identification model training, and height-integrated model feedback. The shooting and bouncing ray/image (SBR/IM) method is used to obtain the datasets of channel characteristics, i.e., root-mean-square delay spread (RMS-DS), K factor, and angle spread (AS) under five typical scenarios: over-sea, suburban, urban, dense urban and high-rise urban. SBR/IM is a symmetry-based ray tracing (RT) simulation method. After the identification model is trained, a height-integrated feedback scheme is used to increase the identification performance. The simulation results show that the identification accuracy of improved method is about 14% higher than the method without height feature, which reaches nearly 100% under the over-sea and suburban and over 80% in urban, dense urban, and high-rise urban. Full article
(This article belongs to the Special Issue Propagation Model Driven Spectrum Twin and Its Applications)
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15 pages, 2827 KiB  
Article
UAV-Assisted Three-Dimensional Spectrum Mapping Driven by Spectrum Data and Channel Model
by Xiaofu Du, Qiuming Zhu, Guoru Ding, Jie Li, Qihui Wu, Tianxu Lan, Zhipeng Lin, Weizhi Zhong and Lu Han
Symmetry 2021, 13(12), 2308; https://doi.org/10.3390/sym13122308 - 3 Dec 2021
Cited by 7 | Viewed by 1736
Abstract
As the number of civil aerial vehicles increase explosively, spectrum scarcity and security become an increasingly challenge in both the airspace and terrestrial space. To address this difficulty, this paper presents an unmanned aerial vehicle-assisted (UAV-assisted) spectrum mapping system and a spectrum data [...] Read more.
As the number of civil aerial vehicles increase explosively, spectrum scarcity and security become an increasingly challenge in both the airspace and terrestrial space. To address this difficulty, this paper presents an unmanned aerial vehicle-assisted (UAV-assisted) spectrum mapping system and a spectrum data reconstruction algorithm driven by spectrum data and channel model are proposed. The reconstruction algorithm, which includes a model-driven spectrum data inference method and a spectrum data completion method with uniformity decision mechanism, can reconstruct limited and incomplete spectrum data to a three-dimensional (3D) spectrum map. As a result, spectrum scarcity and security can be achieved. Spectrum mapping is a symmetry-based digital twin technology. By employing an uniformity decision mechanism, the proposed completion method can effectively interpolate spatial data even when the collected data are unevenly distributed. The effectiveness of the proposed mapping scheme is evaluated by comparing its results with the ray-tracing simulated data of the campus scenario. Simulation results show that the proposed reconstruction algorithm outperforms the classical inverse distance weighted (IDW) interpolation method and the tensor completion method by about 12.5% and 92.3%, respectively, in terms of reconstruction accuracy when the collected spectrum data are regularly missing, unevenly distributed and limited. Full article
(This article belongs to the Special Issue Propagation Model Driven Spectrum Twin and Its Applications)
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12 pages, 1276 KiB  
Article
Channel Modeling and Analysis for the Sensor Network Inside Tower Buildings
by Wenping Xie, Xiaomin Chen, Kai Mao, Yuxin Liu, Lugao Yin and Sheng Fang
Symmetry 2021, 13(11), 2154; https://doi.org/10.3390/sym13112154 - 11 Nov 2021
Viewed by 1317
Abstract
Symmetry-based channel digital twin is a great technology which can reproduce the communication channel of real scenes for performance evaluation of the wireless sensor network (WSN) inside tower buildings, based on the ray tracing (RT) method and machine learning (ML) theories, a cluster-based [...] Read more.
Symmetry-based channel digital twin is a great technology which can reproduce the communication channel of real scenes for performance evaluation of the wireless sensor network (WSN) inside tower buildings, based on the ray tracing (RT) method and machine learning (ML) theories, a cluster-based channel model is proposed in this paper. Meanwhile, an improved k-means method, which considers the weight of different dimensions in the multipath component distance (MCD) is presented for clustering, which has better clustering performance over the sparsity-based algorithm and traditional k-means algorithm. Moreover, the channel parameters such as cluster delay and cluster power are also investigated. On this basis, the communication performance of WSN, i.e., bit error rate (BER) and channel capacity are derived and analyzed. The simulation and analysis results show that the cluster model based on the RT method can get approximately equivalent channel impulse response (CIR), and the BER of proposed model is consistent with the simulated one. These results can provide reference for the node layout and optimization of WSN inside tower buildings. Full article
(This article belongs to the Special Issue Propagation Model Driven Spectrum Twin and Its Applications)
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