5G vehicular network resource management for improving radio access through machine learning
The current cellular technology and vehicular networks cannot satisfy the mighty strides of
vehicular network demands. Resource management has become a complex and …
vehicular network demands. Resource management has become a complex and …
Autonomous resource slicing for virtualized vehicular networks with D2D communications based on deep reinforcement learning
Considering bandwidth-hungry and low latency requirement of vehicular communications
applications, we propose a novel dynamic reinforcement learning-based slicing framework …
applications, we propose a novel dynamic reinforcement learning-based slicing framework …
Graph neural networks and deep reinforcement learning based resource allocation for v2x communications
In the rapidly evolving landscape of Internet of Vehicles (IoV) technology, Cellular Vehicle-to-
Everything (C-V2X) communication has attracted much attention due to its superior …
Everything (C-V2X) communication has attracted much attention due to its superior …
Exploring mobile edge computing for 5G-enabled software defined vehicular networks
To meet the ever increasing demand of mobile data traffic, 5G enabling technologies are
proposed in vehicular networks. Network densification is one of the key 5G technologies for …
proposed in vehicular networks. Network densification is one of the key 5G technologies for …
Internet of vehicle's resource management in 5G networks using AI technologies: Current status and trends
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 …
emerged from IoT technology, which refers to connecting many vehicles with various …
Data driven service orchestration for vehicular networks
A Dalgkitsis, PV Mekikis… - IEEE Transactions …, 2020 - ieeexplore.ieee.org
As technology progresses, cars can not only be considered as a transportation medium but
also as an intelligent part of the cellular network that generates highly valuable data and …
also as an intelligent part of the cellular network that generates highly valuable data and …
Future intelligent and secure vehicular network toward 6G: Machine-learning approaches
As a powerful tool, the vehicular network has been built to connect human communication
and transportation around the world for many years to come. However, with the rapid growth …
and transportation around the world for many years to come. However, with the rapid growth …
Deep reinforcement learning techniques for vehicular networks: Recent advances and future trends towards 6G
Employing machine learning into 6G vehicular networks to support vehicular application
services is being widely studied and a hot topic for the latest research works in the literature …
services is being widely studied and a hot topic for the latest research works in the literature …
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 …
Everything (NR V2X) based on 5G NR has been developed. NR V2X incorporates the high …
5G next generation VANETs using SDN and fog computing framework
The growth of technical revolution towards 5G Next generation networks is expected to meet
various communication requirements of future Intelligent Transportation Systems (ITS) …
various communication requirements of future Intelligent Transportation Systems (ITS) …