Aoi-aware joint spectrum and power allocation for internet of vehicles: A trust region policy optimization-based approach

N Peng, Y Lin, Y Zhang, J Li - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
In Internet of Vehicles (IoV), information freshness is a significant indicator to indemnify road
traffic safety, which is measured by Age of Information (AoI). In this article, we consider the …

Deep reinforcement learning-based spectrum allocation algorithm in Internet of vehicles discriminating services

Z Guan, Y Wang, M He - Applied Sciences, 2022 - mdpi.com
With the rapid development of global automotive industry intelligence and networking, the
Internet of Vehicles (IoV) service, as a key communication technology, has been faced with …

Deep reinforcement learning based wireless resource allocation for V2X communications

J Li, J Zhao, X Sun - 2021 13th International Conference on …, 2021 - ieeexplore.ieee.org
The shortage and low utilization of air-interface spectrum resources have always been the
bottleneck of the development of vehicle-to-everything (V2X) communications. In this paper …

Multiagent deep-reinforcement-learning-based resource allocation for heterogeneous QoS guarantees for vehicular networks

J Tian, Q Liu, H Zhang, D Wu - IEEE Internet of Things Journal, 2021 - ieeexplore.ieee.org
Vehicle-to-vehicle communications can offer direct information interaction, including security-
centered information and entertainment information. However, the rapid proliferation of …

Meta-reinforcement learning based resource allocation for dynamic V2X communications

Y Yuan, G Zheng, KK Wong… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
This paper studies the allocation of shared resources between vehicle-to-infrastructure (V2I)
and vehicle-to-vehicle (V2V) links in vehicle-to-everything (V2X) communications. In existing …

Joint network control and resource allocation for space-terrestrial integrated network through hierarchal deep actor-critic reinforcement learning

HA Shah, L Zhao, IM Kim - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Conventional approaches to network control and resource allocation by allocating dedicated
spectrum resources and separate infrastructure for massive Internet of Things (IoT) network …

Federated Deep Reinforcement Learning-Based Spectrum Access Algorithm With Warranty Contract in Intelligent Transportation Systems

R Zhu, M Li, H Liu, L Liu, M Ma - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Cognitive radio (CR) provides an effective solution to meet the huge bandwidth
requirements in intelligent transportation systems (ITS), which enables secondary users …

Resource allocation based on graph neural networks in vehicular communications

Z He, L Wang, H Ye, GY Li… - GLOBECOM 2020-2020 …, 2020 - ieeexplore.ieee.org
In this article, we investigate spectrum allocation in vehicle-to-everything (V2X) network. We
first express the V2X network into a graph, where each vehicle-to-vehicle (V2V) link is a …

Deep reinforcement learning based joint spectrum allocation and configuration design for STAR-RIS-assisted V2X communications

PS Aung, LX Nguyen, YK Tun, Z Han… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Vehicle-to-Everything (V2X) communications is pivotal for modern transportation systems,
but the challenges arise in scenarios with buildings, leading to signal obstruction and limited …

Enabling security-aware D2D spectrum resource sharing for connected autonomous vehicles

X Peng, H Zhou, B Qian, K Yu, F Lyu… - IEEE Internet of Things …, 2020 - ieeexplore.ieee.org
With the emergence of automated driving technology, wireless demand for secure
information exchange among automated vehicles has increased dramatically. To this end …