Challenges and solutions for cellular based V2X communications

S Gyawali, S Xu, Y Qian, RQ Hu - … Communications Surveys & …, 2020 - ieeexplore.ieee.org
A wide variety of works have been conducted in vehicle-to-everything (V2X)
communications to enable a variety of applications for road safety, traffic efficiency and …

Autonomous Vehicles in 5G and beyond: A Survey

S Hakak, TR Gadekallu, PKR Maddikunta… - Vehicular …, 2023 - Elsevier
Fifth Generation (5G) mobile technology is the latest generation of mobile networks that is
being deployed to facilitate emerging applications and services. 5G offers enhanced mobile …

Networking and communications in autonomous driving: A survey

J Wang, J Liu, N Kato - IEEE Communications Surveys & …, 2018 - ieeexplore.ieee.org
The development of light detection and ranging, Radar, camera, and other advanced sensor
technologies inaugurated a new era in autonomous driving. However, due to the intrinsic …

Delay-minimization routing for heterogeneous VANETs with machine learning based mobility prediction

Y Tang, N Cheng, W Wu, M Wang… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
Establishing and maintaining end-to-end connections in a vehicular ad hoc network
(VANET) is challenging due to the high vehicle mobility, dynamic inter-vehicle spacing, and …

Machine learning models and techniques for VANET based traffic management: Implementation issues and challenges

S Khatri, H Vachhani, S Shah, J Bhatia… - Peer-to-Peer Networking …, 2021 - Springer
Low latency in communication among the vehicles and RSUs, smooth traffic flow, and road
safety are the major concerns of the Intelligent Transportation Systems. Vehicular Ad hoc …

5G vehicular network resource management for improving radio access through machine learning

SK Tayyaba, HA Khattak, A Almogren, MA Shah… - IEEE …, 2020 - ieeexplore.ieee.org
The current cellular technology and vehicular networks cannot satisfy the mighty strides of
vehicular network demands. Resource management has become a complex and …

A comprehensive survey on clustering in vehicular networks: Current solutions and future challenges

M Ayyub, A Oracevic, R Hussain, AA Khan, Z Zhang - Ad Hoc Networks, 2022 - Elsevier
Vehicular networks are on the verge of deployment, thanks to the advancements in
computation and communication technologies. This breed of ad hoc networks leverages …

Software-defined cooperative data sharing in edge computing assisted 5G-VANET

G Luo, H Zhou, N Cheng, Q Yuan, J Li… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
It is widely recognized that connected vehicles have the potential to further improve the road
safety, transportation intelligence and enhance the in-vehicle entertainment. By leveraging …

On the integration of enabling wireless technologies and sensor fusion for next-generation connected and autonomous vehicles

FA Butt, JN Chattha, J Ahmad, MU Zia, M Rizwan… - IEEE …, 2022 - ieeexplore.ieee.org
The automotive industry is transitioning towards intelligent, connected, and autonomous
vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety …

Traffic differentiated clustering routing in DSRC and C-V2X hybrid vehicular networks

W Qi, B Landfeldt, Q Song, L Guo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Vehicles equipped with sensors can participate in mobile crowdsourcing applications.
Vehicular Ad Hoc Networks (VANETs) based on Dedicated Short Range Communication …