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Electronics
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Emerging Technology for Vehicular Networks
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Emerging Technology for Vehicular Networks

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

Deadline for manuscript submissions: closed (15 April 2024) | Viewed by 5238

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. Yingyang Chen

E-Mail Website
Guest Editor
College of Information Science and Technology, Jinan University, Guangzhou 510632, China
Interests: next-generation multiple access; vehicular communications; edge intelligence.
Special Issues, Collections and Topics in MDPI journals
Dr. Shuai Wang

E-Mail Website
Guest Editor
Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen 518055, China
Interests: autonomous vehicle; edge intelligence; robotics; communications
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

A vehicular network is a novel and growing paradigm that enables seamless communication among vehicles, roadside infrastructure, and wireless devices. This has gained the widespread attention of academia, governments and industry sectors, with efforts underway to make vehicular transportation safer, greener and easier. Faced with the increasing applications and tremendous market demands of vehicular networking, enabling high-rate and reliable internet connections to vehicles in a scalable and cost-efficient way is one of the key research issues for next-generation vehicular networks.

The purpose of this Special Issue is to solicit the vision, research, and dedicated efforts on the key technologies emerging for vehicular networks. The scope encompasses all types of vehicular communications regarding vehicle to everything (V2X). The Special Issue seeks original contributions which address the fundamental research challenges within the related topics. The topics of interest include, but are not limited to, the following:

  • Channel modelling and signal modulation for vehicular communications
  • Performance evaluation of radio technologies for vehicular communications
  • Efficient resource allocation for vehicular networks
  • Vehicular sensing and positioning in next-generation scenarios
  • Traffic redundancy elimination and data offloading in vehicular networks
  • Cloud computing and big data techniques for novel vehicular applications
  • Artificial intelligence for autonomous vehicular communication networks
  • Novel vehicular applications and service scenarios of vehicular networks
  • Security and privacy in vehicular networks
  • Standardization of protocols for vehicular networks

Prof. Dr. Miaowen Wen
Dr. Yingyang Chen
Dr. Shuai Wang
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

  • vehicular communications
  • V2X
  • reliable communications
  • scalable vehicular networks
  • emerging applications in vehicular networks

Published Papers (4 papers)

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Research

19 pages, 1596 KiB  
Article
Towards Flawless Designs: Recent Progresses in Non-Orthogonal Multiple Access Technology
by Gaoyuan Dai, Ronglan Huang, Jing Yuan, Zeng Hu, Longru Chen, Jianxian Lu, Tianrui Fan, Dehuan Wan, Miaowen Wen, Tianwei Hou and Fei Ji
Electronics 2023, 12(22), 4577; https://doi.org/10.3390/electronics12224577 - 09 Nov 2023
Cited by 1 | Viewed by 761
Abstract
High effectiveness and high reliability are two fundamental concerns in data transmission. Non-orthogonal multiple-access (NOMA) technology presents a promising solution for high-speed data transmission, which has long been pursued by academia and industry. However, there is still a significant road ahead for it [...] Read more.
High effectiveness and high reliability are two fundamental concerns in data transmission. Non-orthogonal multiple-access (NOMA) technology presents a promising solution for high-speed data transmission, which has long been pursued by academia and industry. However, there is still a significant road ahead for it to effectively support a wide range of applications. This paper provides a comprehensive study, comparison, and classification of the current advanced NOMA schemes from the perspectives of single-carrier (SC) systems, multicarrier (MC) systems, reconfigurable-intelligent-surface (RIS)-assisted systems, and deep-learning (DL)-assisted systems. Specifically, system implementation issues such as the transition from SC-NOMA to MC-NOMA, the relaxation of distinct channel gains, the consideration of imperfect channel knowledge, and the mitigation of error propagation/intra-group interference are involved. To begin with, we present an overview of the state-of-the-art developments related to the advanced design of SC-NOMA. Subsequently, a generalized MC-NOMA framework that provides the diversity–multiplexing gain by enhancing users’ signal-to-interference-plus-noise ratio (SINR) is proposed for better system performance. Moreover, we delve into discussions on RIS-assisted NOMA systems, where the receiver’s SINR can be enhanced by intelligently reconfiguring the reflected signal propagations. Finally, we analyze designs that combine NOMA/RIS-NOMA with DL to achieve highly efficient data transmission. We also identify key trends and future directions in deep-learning-based NOMA frameworks, providing valuable insights for researchers in this field. Full article
(This article belongs to the Special Issue Emerging Technology for Vehicular Networks)
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20 pages, 1090 KiB  
Article
A Q-Learning-Based Load Balancing Method for Real-Time Task Processing in Edge-Cloud Networks
by Zhaoyang Du, Chunrong Peng, Tsutomu Yoshinaga and Celimuge Wu
Electronics 2023, 12(15), 3254; https://doi.org/10.3390/electronics12153254 - 28 Jul 2023
Viewed by 965
Abstract
Edge computing has emerged as a promising solution to reduce communication delays and enhance the performance of real-time applications. However, due to the limited processing power of edge servers, it is challenging to achieve efficient task processing. In this paper, we propose a [...] Read more.
Edge computing has emerged as a promising solution to reduce communication delays and enhance the performance of real-time applications. However, due to the limited processing power of edge servers, it is challenging to achieve efficient task processing. In this paper, we propose a Q-learning-based load-balancing method that optimizes the distribution of real-time tasks between edge servers and cloud servers to reduce processing time. The proposed method is dynamic and adaptive, taking into account the constantly changing network status and server usage. To evaluate the effectiveness of the proposed load-balancing method, extensive simulations are conducted in an Edge-Cloud network environment. The simulation results demonstrate that the proposed method significantly reduces processing time compared to traditional static load-balancing methods. The Q-learning algorithm enables the load-balancing system to dynamically learn the optimal decision-making strategy to allocate tasks to the most appropriate server. Overall, the proposed Q-learning-based load-balancing method provides a dynamic and efficient solution to balance the workload between edge servers and cloud servers. The proposed method effectively achieves real-time task processing in edge computing environments and can contribute to the development of high-performance edge computing systems. Full article
(This article belongs to the Special Issue Emerging Technology for Vehicular Networks)
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13 pages, 744 KiB  
Article
Power and Element Allocation Design for RIS–NOMA IoV Networks
by Zhao Zhang, Wei Duan, Yancheng Ji and Guoan Zhang
Electronics 2023, 12(4), 1003; https://doi.org/10.3390/electronics12041003 - 17 Feb 2023
Cited by 2 | Viewed by 1149
Abstract
In this paper, a cooperative, non-orthogonal multiple access (NOMA)-based internet of vehicles (IoV) network is proposed, which is assisted by a reconfigurable intelligent surface (RIS) to enhance signal transmission. Due to the intelligent control of RISs, the channel condition of our proposed IoV [...] Read more.
In this paper, a cooperative, non-orthogonal multiple access (NOMA)-based internet of vehicles (IoV) network is proposed, which is assisted by a reconfigurable intelligent surface (RIS) to enhance signal transmission. Due to the intelligent control of RISs, the channel condition of our proposed IoV system is more diversified compared to conventional NOMA–RIS schemes, and thus two power allocation schemes are considered to tackle this issue, providing better channel gain to transmit signals. In this proposed scheme, power allocation schemes are discussed for a diverse number of reflecting elements, and a number of elements are obtained serving users near or far. To further improve system capacity and guarantee quality of service (QoS), we derive the number of elements to guarantee the same transmission data sum-rate under different channel qualities. Numerical and simulation results verify the correctness as well as superiority of our proposed scheme. Full article
(This article belongs to the Special Issue Emerging Technology for Vehicular Networks)
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26 pages, 18685 KiB  
Article
An Automotive Reference Testbed with Trusted Security Services
by Teri Lenard, Béla Genge, Piroska Haller, Anastasija Collen and Niels Alexander Nijdam
Electronics 2023, 12(4), 888; https://doi.org/10.3390/electronics12040888 - 09 Feb 2023
Cited by 1 | Viewed by 1555
Abstract
While research in the field of automotive systems inclined in the past years towards technologies such as Vehicle-to-Everything (V2X) or Connected and Automated Vehicle (CAV), the underlying system security still plays a crucial role in assuring trust and system safety. The work at [...] Read more.
While research in the field of automotive systems inclined in the past years towards technologies such as Vehicle-to-Everything (V2X) or Connected and Automated Vehicle (CAV), the underlying system security still plays a crucial role in assuring trust and system safety. The work at hand tackles the issue of automotive system security by designing a multi-service security system specially tailored for in-vehicle networks. The proposed trusted security services leverage Trusted Platform Module (TPM) to store secrets and manage and exchange cryptographic keys. To showcase how security services can be implemented in a in-vehicle network, a Reference TestBed (RTB) was developed. In the RTB, encryption and authentication keys are periodically exchanged, data is sent authenticated, the network is monitored by a Stateful Firewall and Intrusion Detection System (SF/IDS), and security events are logged and reported. A formal individual and multi-protocol analysis was conducted to demonstrated the feasibility of the proposed services from a theoretical point of view. Two distinct scenarios were considered to present the workflow and interaction between the proposed services. Lastly, performance measurements on the reference hardware are provided. Full article
(This article belongs to the Special Issue Emerging Technology for Vehicular Networks)
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