V2X Communication

A special issue of Vehicles (ISSN 2624-8921).

Deadline for manuscript submissions: 30 May 2026 | Viewed by 1145

Special Issue Editors


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Guest Editor
Department of Computer Science and Information Systems, Bradley University, Peoria, IL 61625, USA
Interests: V2X communication; 5G NR; connected and autonomous vehicle (CAV); scheduling and broadcasting; data analytics
Special Issues, Collections and Topics in MDPI journals
Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela 769008, India
Interests: internet of things; wireless sensor networks; ad hoc and mobile networks; VANETs; communication algorithms
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Vehicles invites researchers, practitioners, and industry experts to submit original research articles and comprehensive reviews for our upcoming Special Issue titled “V2X Communication”.

In today's rapidly evolving automotive landscape, the need for advanced communication systems has never been more critical. V2X communication is at the heart of this transformation, enabling vehicles to interact not only with each other but also with infrastructure, pedestrians, and networks. This connectivity is key to realizing the full potential of intelligent transportation systems, improving road safety, enhancing traffic efficiency, and paving the way for autonomous driving.

This Special Issue will showcase cutting-edge advancements, challenges, and opportunities in V2X communication, fostering collaboration and innovation in this transformative field.

Scope and Topics

We welcome submissions addressing, but not limited to, the following topics:

  • V2V, V2I, V2P, and V2N Communication Technologies
    • Protocols and standards development;
    • Data dissemination and scheduling;
    • Resource allocation and management;
    • Communication algorithms.
  • Security and Privacy in V2X Networks
    • Threat detection and mitigation;
    • Encryption and authentication mechanisms.
  • Edge Computing and Data Analytics
    • Real-time data processing;
    • Machine learning applications in V2X.
  • Integration with Autonomous Driving Systems
    • Sensor fusion and data integration;
    • Decision-making algorithms.
  • Fifth-Generation and beyond for V2X
    • Implementation challenges;
    • Performance evaluations.
  • Testing and Validation
    • Simulation models;
    • Field trials and pilot studies.
  • Regulatory and Policy Considerations
    • Compliance with global standards;
    • Impact assessments.

Dr. G. G. Md. Nawaz Ali
Dr. Arun Kumar
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. Vehicles is an international peer-reviewed open access quarterly 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 1600 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

  • V2X communication
  • 5G and beyond for V2X
  • autonomous driving systems
  • security in V2X
  • V2X simulation

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Published Papers (1 paper)

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Research

14 pages, 2330 KB  
Article
Optimized GOMP-Based OTFS Channel Estimation Algorithm for V2X Communications
by Yong Liao and Chen Yu
Vehicles 2025, 7(4), 108; https://doi.org/10.3390/vehicles7040108 - 26 Sep 2025
Viewed by 253
Abstract
Vehicle-to-everything (V2X) communication, a current key area of research, has a large impact on traffic safety, traffic efficiency, autonomous driving technology development, and intelligent transport. In order to achieve the low-latency performance and high transmission efficiency required for V2X communication, channel estimation for [...] Read more.
Vehicle-to-everything (V2X) communication, a current key area of research, has a large impact on traffic safety, traffic efficiency, autonomous driving technology development, and intelligent transport. In order to achieve the low-latency performance and high transmission efficiency required for V2X communication, channel estimation for transmission channels is particularly important. In this regard, this paper proposes an improved general orthogonal match pursuit (GOMP) channel estimation algorithm based on the base extension model for an orthogonal time frequency space (OTFS) system. Firstly, the channel matrix is decomposed using the basis expansion model. Then, the strong sparsity of the basis function is exploited for channel estimation using the GOMP algorithm, while the ordinal difference restriction method and the weak selectivity principle are introduced to improve the system. The obtained improved GOMP algorithm not only shows a greater improvement in terms of normalized mean square error (NMSE) and bit error rate (BER) performance but also greatly reduces computational complexity, enabling it to better satisfy the needs of V2X communication. Full article
(This article belongs to the Special Issue V2X Communication)
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