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Electronics
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Multi-Scale Communications and Signal Processing
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Multi-Scale Communications and Signal Processing

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

Deadline for manuscript submissions: 15 October 2024 | Viewed by 3339

Special Issue Editors

Prof. Dr. Miaowen Wen

E-Mail Website
Guest Editor
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China
Interests: index modulation; OTFS; OFDM; non-orthogonal multiple access; mobile edge computing; physical-layer security
Special Issues, Collections and Topics in MDPI journals
Dr. Yu Huang

E-Mail Website
Guest Editor
Research Center of Intelligent Communication Engineering, School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China
Interests: molecular communications; wireless communications
Dr. Xuan Chen

E-Mail Website
Guest Editor
Research Center of Intelligent Communication Engineering, School of Electronics and Communication Engineering, Guangzhou University, Guangzhou 510006, China
Interests: molecular communication; index modulation; non-orthogonal multiple access

Special Issue Information

Dear Colleagues,

This Special Issue comprises selected papers from the proceedings of The 8th International Conference on Computer and Communications Systems (ICCCS 2023), held from 21 to 24 April 2023 in Guangzhou, China. This conference offers an annual platform for international scientists, engineers, and researchers to present the latest research results, ideas, developments, and applications in communication fields. We invite authors of the conference’s best papers and authors who present novel and original research and developments in the conference to contribute to this Special Issue. We also welcome regular research and review articles on all aspects of communication. Potential topics include, but are not limited to, the following:

  1. Internet of BioNano Things (IoBNT) and biocyber interfaces;
  2. Signal detection methods in IoBNT with molecular or terahertz communications;
  3. Bio-compatible multiple access mechanisms;
  4. Energy-efficient modulation schemes for molecular or terahertz communications;
  5. Security and privacy in multi-scale Internet of Things;
  6. Multi-scale underwater communication methods;
  7. Upper layer design in IoBNT;
  8. Analysis and modeling of molecular noise signal;
  9. Channel modelling, characterization, estimation, and simulation;
  10. Information theory and processing for molecular or terahertz communications;
  11. Abnormality detection and localization for nano networks;
  12. Coding theory;
  13. Application for molecular or terahertz communications;
  14. AI and big data for multi-scale communication systems;
  15. Computational nanobiosensing;
  16. Multi-scale testbed/prototype designs.

Selected papers will be subjected to peer review and published with the aim of a rapid and wide dissemination of research results, developments, and applications. We hope this series will grow rapidly in the future and become recognized as a new venue through which to present new developments related to the Internet of Bio-Nano Things.

Prof. Dr. Miaowen Wen
Dr. Yu Huang
Dr. Xuan Chen
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

  • 1. Internet of Bio-Nano Things
  • 2. Molecular Communications
  • 3. Terahertz Communications
  • 4. Multi-scale Channels
  • 5. Signal Processing
  • 6. Testbed Design
  • 7. Hybrid systems.

Published Papers (3 papers)

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Research

14 pages, 1989 KiB  
Article
Machine Learning Algorithms for Fostering Innovative Education for University Students
by Yinghua Wang, Fucheng You and Qing Li
Electronics 2024, 13(8), 1506; https://doi.org/10.3390/electronics13081506 - 16 Apr 2024
Viewed by 374
Abstract
Data augmentation with mixup has been proven effective in various machine learning tasks. However, previous methods primarily concentrate on generating previously unseen virtual examples using randomly selected mixed samples, which may overlook the importance of similar spatial distributions. In this work, we extend [...] Read more.
Data augmentation with mixup has been proven effective in various machine learning tasks. However, previous methods primarily concentrate on generating previously unseen virtual examples using randomly selected mixed samples, which may overlook the importance of similar spatial distributions. In this work, we extend mixup and propose MbMix, a novel yet simple training approach designed for implementing mixup with memory batch augmentation. MbMix specifically selects the samples to be mixed via memory batch to guarantee that the generated samples have the same spatial distribution as the dataset samples. Conducting extensive experiments, we empirically validate that our method outperforms several mixup methods across a broad spectrum of text classification benchmarks, including sentiment classification, question type classification, and textual entailment. Of note, our proposed method achieves a 5.61% improvement compared to existing approaches on the TREC-fine benchmark. Our approach is versatile, with applications in sentiment analysis, question answering, and fake news detection, offering entrepreneurial teams and students avenues to innovate. It enables simulation and modeling for student ventures, fostering an entrepreneurial campus culture and mindset. Full article
(This article belongs to the Special Issue Multi-Scale Communications and Signal Processing)
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14 pages, 905 KiB  
Article
A CNN-Based Adaptive Federated Learning Approach for Communication Jamming Recognition
by Ningsong Zhang, Yusheng Li, Yuxin Shi and Junren Shen
Electronics 2023, 12(16), 3425; https://doi.org/10.3390/electronics12163425 - 13 Aug 2023
Cited by 1 | Viewed by 888
Abstract
The effective and accurate recognition of communication jamming is crucial for enhancing the anti-jamming capability of wireless communication systems. At present, a significant portion of jamming data is decentralized, stored in local nodes, and cannot be uploaded directly for network training due to [...] Read more.
The effective and accurate recognition of communication jamming is crucial for enhancing the anti-jamming capability of wireless communication systems. At present, a significant portion of jamming data is decentralized, stored in local nodes, and cannot be uploaded directly for network training due to its sensitive nature. To address this challenge, we introduce a novel distributed jamming recognition method. This method leverages a distributed recognition framework to achieve global optimization through federated learning. Each node independently trains its local model and contributes to the comprehensive global model. We have devised an adaptive adjustment mechanism for the mixed weight parameters of both local and global models, ensuring an automatic balance between the global model and the aggregated insights from local data across devices. Simulations indicate that our personalization strategy yields a 30% boost in accuracy, and the adaptive weight parameters further enhance the recognition accuracy by 1.1%. Full article
(This article belongs to the Special Issue Multi-Scale Communications and Signal Processing)
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15 pages, 538 KiB  
Article
Intersection-Based Unicast Routing Using Ant Colony Optimization in Software-Defined Vehicular Networks
by Hao Zhu, Jingru Liu, Li Jin and Guoan Zhang
Electronics 2023, 12(7), 1620; https://doi.org/10.3390/electronics12071620 - 30 Mar 2023
Cited by 3 | Viewed by 1298
Abstract
A vehicular ad hoc network (VANET) is a mobile ad hoc network composed of communication between vehicles, between vehicles and roadside units, and between vehicles and pedestrians, in order to achieve traffic safety and entertainment services. The design of the routing protocol is [...] Read more.
A vehicular ad hoc network (VANET) is a mobile ad hoc network composed of communication between vehicles, between vehicles and roadside units, and between vehicles and pedestrians, in order to achieve traffic safety and entertainment services. The design of the routing protocol is very important for the realization of the service function of VANET. Local optimum and network congestion problems are restraints of traditional geographic routing protocols for VANET. In this paper, a software-defined network (SDN) based unicast routing scheme in an urban traffic environment is proposed, which uses Dijkstra’s algorithm to find a global optimal anchor path. The RSU neighbor discovery protocol is proposed, through which each RSU can discover its neighbor RSUs, and then each RSU periodically sends ant packets to its neighbor RSUs, evaluates the communication connection quality of each street segment according to the statistical data of the ant packets received, and sends the evaluation value to the SDN server in time. The SDN server has the connection quality evaluation values of all street segments in the global scope, from which an optimal anchor path can be calculated. The simulation results show that the proposed scheme has better packet delivery ratio than other related schemes. Full article
(This article belongs to the Special Issue Multi-Scale Communications and Signal Processing)
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