RLFN-VRA: Reinforcement learning-based flexible numerology V2V resource allocation for 5G NR V2X networks

C Chen, W Wang, Z Liu, Z Wang, C Li… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
With the advancement of 5G technology, the second generation of New Radio Vehicle-to-
Everything (NR V2X) based on 5G NR has been developed. NR V2X incorporates the high …

Revolutionizing healthcare 5.0: Blockchain-driven optimization of drone-to-everything communication using 5G network for enhanced medical services

Ö Sabuncu, B Bilgehan - Technology in Society, 2024 - Elsevier
The healthcare industry has witnessed a notable surge in the adoption of drone technology
for the swift and efficient transportation of vital medical supplies. In the expansive and …

5G Networks Enabling Cooperative Autonomous Vehicle Localization: A Survey

B Zhou, Z Liu, H Su - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
Precise and real-time localization is the key for autonomous vehicles (AVs) to solve traffic,
environmental problems and support intelligent vehicle applications. Existing AV localization …

[HTML][HTML] The importance of V2X simulation: An in-depth comparison of intersection control algorithms using a high-fidelity communication simulation

T Ormándi, B Varga - Vehicular Communications, 2023 - Elsevier
The rapid evolution of vehicle-to-vehicle and vehicle-to-infrastructure communication opens
doors to various control algorithms, one particular domain being intersection control. Several …

A Hybrid Multi-Agent Reinforcement Learning Approach for Spectrum Sharing in Vehicular Networks

M Jamal, Z Ullah, M Naeem, M Abbas, A Coronato - Future Internet, 2024 - mdpi.com
Efficient spectrum sharing is essential for maximizing data communication performance in
Vehicular Networks (VNs). In this article, we propose a novel hybrid framework that …

Young adults' preferences on the potential changes in urban environment triggered by AVs in Hungary

M Lukovics, T Ujházi - Journal of Urban Design, 2024 - Taylor & Francis
The study aims to investigate how much young Hungarian city dwellers would accept
potential urban environment changes triggered by AVs. In the full-profile conjoint analysis …

Probabilistic resource rescheduling for C-V2X based on delivery rate estimation

D Hyeon, C Lee, H Kim, S Cho, J Paek… - Journal of …, 2024 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is an essential component for fully autonomous
vehicles in future intelligent transportation systems, and cellular-V2X (C-V2X) is a standard …

Sustainable Provision of URLLC Services for V2N: Analysis and Optimal Configuration

LE Chatzieleftheriou, J Pérez-Valero… - Proceedings of the …, 2024 - dl.acm.org
The rising popularity of Vehicle-to-Network (V2N) applications is driven by the Ultra-Reliable
Low-Latency Communications (URLLC) service offered by 5G. The availability of distributed …

Model improvement and scheduling optimization for multi-vehicle charging planning in IoV

JH Qian, YX Zhao, W Huang - Physica A: Statistical Mechanics and its …, 2023 - Elsevier
Intelligent electric vehicles (EV) can transmit their location, driving status and other
information to Intelligent Transportation Systems (ITS) through the Internet of vehicles (IoV) …

Joint Optimization of Spectrum and Power for Vehicular Networks: A MAPPO based Deep Reinforcement Learning Approach

W Cai, X Huang, Y Chen, Q Guan - 2024 IEEE Wireless …, 2024 - ieeexplore.ieee.org
This paper focuses on the issue of resource allocation in vehicular networking, specifically in
scenarios where vehicle-to-vehicle (V2V) links coexist with vehicle-to-infrastructure (V2I) …