Future 6G Intelligent and Secure Vehicular Networks

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

Deadline for manuscript submissions: closed (15 February 2024) | Viewed by 710

Special Issue Editors


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Guest Editor
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510640, China
Interests: V2X; MEC; edge intelligence; computer vision; information and energy transfer technology; high-precision indoor and outdoor positioning; multiple-antenna technology

E-Mail Website
Guest Editor
School of Information and Communication, Guilin University of Electronic Technology, Guilin 541004, China
Interests: wireless networking; industrial IoT; edge computing; federated learning and connected vehicles

Special Issue Information

Dear Colleagues,

Intelligent and secure vehicular networks are considered one of the key application scenarios for 6G technology. The 6G vehicular network has to support ground-based vehicular communications and aerial vehicular communications, which involves additional requirements such as an end-to-end latency of 0.1ms and reliability higher than 99.99999%, as well as a data rate larger than 50Mbps. The aim of fulfilling this new demand has dramatically driven the development of many new and advanced system frameworks, algorithms, and techniques. For example, an integrated sensing and communication (ISAC) vehicular system that combines sensing with communications via the sharing of the same frequency band and hardware not only improves the efficiency of the spectrum and hardware, but also enables the communication quality of autonomous vehicles to be enhanced through the sensing functionality.

Since 6G vehicle-to-everything (V2X) communication faces complicated and changeable security challenges, higher requirements need to be guaranteed. Physical layer security is a lightweight and effective solution. As a distributed ledger, blockchain stands out due to its decentralized authentication, confidentiality, integrity, access control, anonymity, and traceability; however, it suffers from quantum attacks in 6G-V2X. Additionally, deep learning and federated learning blockchains envision data-explosive scenarios for 6G-V2X. Therefore, we are in need of advanced solutions regarding blockchain and learning-based mechanisms.

In 6G-V2X, a vehicle with various sensors may generate about tens or even thousands of gigabytes per day, including videos and images of traffic information. Although most of these data are processed in the vehicles or discarded, the amount of remaining data uploaded to roadside units (RSUs) or cloud/edge servers is still huge. However, conventional communication systems have nearly approached the Shannon capacity limit, which is the potential of semantic communication for improving both transmission efficiency and reliability for supporting end-to-end (E2E) transmission. Therefore, it is necessary to design a semantic communication architecture for 6G-V2X scenarios, as well as video and image semantic coding according to the application requirements.

The data transmission from end-user devices to the destination (connected devices, cloud and edge servers, etc.) can be interrupted due to obstacles. Integrating the edge server and the intelligent reflecting surface (IRS) in a vehicular edge computing (VEC) environment can effectively improve the communication environment and reduce the edge offloading delay. Moreover, intelligent reflecting surface-assisted key generation provides symmetric keys for the application layer.

This Special Issue focuses on intelligent and secure vehicular communications for 6G wireless networks, with the aim of bringing together researchers and industry practitioners working in related areas to share their new ideas, latest findings, and state-of-the-art results. This Special Issue solicits high-quality original research papers on topics including, but not limited to:

  • ISAC-integrated vehicular systems;
  • Physical layer security and blockchain;
  • 6G-V2X semantic communication;
  • UAV/Satellite-assisted V2X;
  • IRS-aided vehicular edge computing and edge intelligence.

I look forward to receiving your contributions.

Prof. Dr. Bin-Jie Hu
Prof. Dr. Xiaohuan Li
Guest Editors

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Keywords

  • 6G-V2X
  • intelligent reflective surfaces
  • blockchain
  • machine learning
  • semantic communication
  • federated learning
  • physical layer security
  • UAV/satellite-assisted V2X
  • smart radio environment
  • vehicular communications,
  • 6G

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