Optimizing radio access in 5G vehicle networks using novel machine learning-driven resource management

R Natarajan, N Mahadev, BS Alfurhood… - Optical and Quantum …, 2023 - Springer
Modern wireless technologies and vehicular networks are unable to handle the enormous
crossover of vehicle network requirements. In order to achieve objectives in a vehicle …

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 …

Convolutional neural networks for 5G-enabled intelligent transportation system: A systematic review

D Sirohi, N Kumar, PS Rana - Computer Communications, 2020 - Elsevier
Abstract Modern 5G-enabled Intelligent Transportation System (ITS) provides comfort and
safety to the end users by using various models and techniques most of which are based on …

Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends

NM Elfatih, MK Hasan, Z Kamal, D Gupta… - IET …, 2022 - Wiley Online Library
Abstract The Internet of Vehicles (IoV) and Vehicle‐to‐Everything (V2X) concept have
emerged from IoT technology, which refers to connecting many vehicles with various …

Deep q-learning enabled wireless resource allocation for 5g network based vehicle-to-vehicle communications

S Wang, X Chai, X Song, X Liang - 2021 IEEE 6th International …, 2021 - ieeexplore.ieee.org
Vehicle-to-vehicle (V2V) communication, a facilitator of intelligent transportation system
(ITS), requires effective cooperation among vehicles in vehicular environment. The major …

A federated deep learning empowered resource management method to optimize 5G and 6G quality of services (QoS)

H Alsulami, SH Serbaya… - Wireless …, 2022 - Wiley Online Library
The quality of service (QoS) in 5G/6G communication enormously depends upon the
mobility and agility of the network architecture. An increase in the possible uses of 5G …

[HTML][HTML] Deep reinforcement learning based resource allocation with radio remote head grouping and vehicle clustering in 5G vehicular networks

H Park, Y Lim - Electronics, 2021 - mdpi.com
With increasing data traffic requirements in vehicular networks, vehicle-to-everything (V2X)
communication has become imperative in improving road safety to guarantee reliable and …

Dynamic mode selection and resource allocation approach for 5G-vehicle-to-everything (V2X) communication using asynchronous federated deep reinforcement …

I Rasheed - Vehicular Communications, 2022 - Elsevier
Abstract 5G vehicle-to-everything (V2X) connectivity is crucial to enable future complex
vehicular networking environment for enabling intelligent transportation systems (ITS). But …

Integrating artificial intelligence and 5G in the era of next-generation computing

M Singh - 2021 2nd International Conference on Computational …, 2021 - ieeexplore.ieee.org
The introduction of the 4G/LTE (Long Term Evolution) mobile network has addressed the
main obstacle of higher capacity, allowing for the construction of true broadband mobile …

Vehicle artificial intelligence system based on intelligent image analysis and 5G network

B Liu, C Han, X Liu, W Li - International Journal of Wireless Information …, 2023 - Springer
Artificial Intelligence is a medium for machine intelligence that offers tremendous
opportunities for the intelligent industrial revolution. Smart transport, computer networks, and …