Intelligent Vehicular Networks and Communications

A Special Issue of Vehicles (ISSN 2624-8921).

Deadline for manuscript submissions: 20 December 2026 | Viewed by 1004

Editors


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Guest Editor
School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China
Interests: mobile communication; AI

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Guest Editor
School of Information Science and Engineering, Southeast University, Nanjing, China
Interests: 6G; wireless communications; cell-free massive multi-input multi-output; artificial intelligence
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Information Engineering, Wuhan University of Technology, Wuhan, China
Interests: mobile communication; massive MIMO

Special Issue Information

Dear Colleagues,

With the deep integration of intelligent and networked vehicles, vehicles are evolving into a new type of mobile intelligent terminal integrating communication, computing, sensing, and control. As core enabling technologies for advanced autonomous driving and intelligent transportation systems, the development of intelligent vehicular networks and communications faces multi-dimensional challenges such as limited spectrum resources, Ultra-Reliable & Low-Latency Communication (URLLC), massive data processing, and security assurance.

This Special Issue, entitled “Intelligent Vehicular Networks and Communications” aims to collect cutting-edge research worldwide and provide an academic exchange platform for the construction of a future intelligent three-dimensional vehicular networking system with “ubiquitous access, capability collaboration, and secure trust”.

We sincerely invite high-quality original papers and review articles focusing on (but not limited to) the following key topics:

  • Advanced Vehicle-to-Everything (V2X) communication architectures and protocols.
  • Integrated Sensing and Communication (ISAC) for autonomous driving.
  • Semantic communication and resource management for vehicular networks.
  • Edge-cloud collaborative computing infrastructure and network integration.
  • Security, privacy, and trust mechanisms for vehicular networks.
  • Communication-collaboration-based intelligent driving perception, decision-making, and control applications.

This Special Issue encourages innovative contributions that combine theory, analysis, and experimental validation, to jointly promote the high-quality and sustainable development of the intelligent connected vehicle industry.

Dr. Yong Liao
Prof. Dr. Chunguo Li
Prof. Dr. Pei Liu
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 250 words) can be sent to the Editorial Office for assessment.

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-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Vehicles is an international peer-reviewed open access monthly 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 1800 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

  • intelligent and connected vehicles
  • V2X (vehicle-to-everything) communication
  • ISAC (integrated sensing and communication)
  • edge intelligent
  • URLLC (ultra-reliable & low-latency communication)
  • network architecture
  • collaborative sensing
  • resource allocation
  • communication security
  • smart transportation

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Published Papers (1 paper)

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Review

25 pages, 1099 KB  
Review
A Survey on Key Technologies and Applications of Semantic Communication for Vehicular Networks
by Xiaoyu Zhong and Yong Liao
Vehicles 2026, 8(7), 153; https://doi.org/10.3390/vehicles8070153 - 5 Jul 2026
Viewed by 574
Abstract
To address the stringent demands of intelligent connected vehicles for high bandwidth, low latency, and highly reliable communication, this paper systematically summarizes the semantic communication technology of the Internet of Vehicles (IoV) based on information “meaning” transmission, covering basic theory, key technologies, application [...] Read more.
To address the stringent demands of intelligent connected vehicles for high bandwidth, low latency, and highly reliable communication, this paper systematically summarizes the semantic communication technology of the Internet of Vehicles (IoV) based on information “meaning” transmission, covering basic theory, key technologies, application practice and challenge and trends. First, the paper expounds the knowledge driven and task oriented paradigm characteristics of semantic communication and its efficiency advantages in the IoV. Second, in terms of key technologies, semantic extraction achieves efficient feature compression through multimodal fusion and Generative Artificial Intelligence (GAI); semantic coding employs hierarchical codebooks and adaptive strategies to optimize transmission efficiency; semantic transmission leverages deep reinforcement learning for the joint scheduling of resources such as spectrum and power; and semantic decoding utilizes reconstruction networks and GAI to enhance resilience against impairments. Application practices demonstrate that semantic communication can significantly compress image data transmission volume for autonomous driving collaborative perception while maintaining high-fidelity reconstruction under adverse channel conditions. It significantly reduces the communication load and improves the system utility in vehicle-to-infrastructure coordination and in-vehicle service. Despite facing technical challenges such as semantic consistency, dynamic adaptability, and security trustworthiness, future semantic communication will evolve towards deep integration with distributed collaborative knowledge networks, lightweight real-time decision-making agents, and integrated “communication, sensing, and computing” architectures, positioning itself as a key enabling technology for empowering Sixth Generation mobile communication (6G) of intelligent vehicular networks. Full article
(This article belongs to the Special Issue Intelligent Vehicular Networks and Communications)
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