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 …
vehicular networking environment for enabling intelligent transportation systems (ITS). But …
Deep-reinforcement-learning-based mode selection and resource allocation for cellular V2X communications
Cellular vehicle-to-everything (V2X) communication is crucial to support future diverse
vehicular applications. However, for safety-critical applications, unstable vehicle-to-vehicle …
vehicular applications. However, for safety-critical applications, unstable vehicle-to-vehicle …
[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 …
communication has become imperative in improving road safety to guarantee reliable and …
Federated multi-agent deep reinforcement learning for resource allocation of vehicle-to-vehicle communications
Dynamic topology, fast-changing channels and the time sensitivity of safety-related services
present challenges to the status quo of resource allocation for cellular-underlaying vehicle …
present challenges to the status quo of resource allocation for cellular-underlaying vehicle …
Deep Reinforcement Learning-Based Resource Allocation for Cellular V2X Communications
YC Chung, HY Chang, RY Chang… - 2023 IEEE 97th …, 2023 - ieeexplore.ieee.org
Vehicle-to-everything (V2X) communication is an essential technology for future vehicular
applications. It is challenging to simultaneously achieve vehicle-to-infrastructure (V2I) and …
applications. It is challenging to simultaneously achieve vehicle-to-infrastructure (V2I) and …
Efficient DRL-Based Selection Strategy in Hybrid Vehicular Networks
BY Yacheur, T Ahmed… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Emerging V2X applications, like Advanced Driver Assistance Systems (ADASs) and
Connected Autonomous Driving (CAD) require Ultra-Reliable Low Latency Communications …
Connected Autonomous Driving (CAD) require Ultra-Reliable Low Latency Communications …
DRL‐based intelligent resource allocation for diverse QoS in 5G and toward 6G vehicular networks: a comprehensive survey
The vehicular network is taking great attention from both academia and industry to enable
the intelligent transportation system (ITS), autonomous driving, and smart cities. The system …
the intelligent transportation system (ITS), autonomous driving, and smart cities. The system …
Deep reinforcement learning-aided transmission design for multi-user V2V networks
Y Zhang, D Lan, C Wang, P Wang… - 2021 IEEE Wireless …, 2021 - ieeexplore.ieee.org
Intelligent connected vehicle (ICV) has been widely deemed as the key to reduce road
accident rate and improve traffic efficiency. However, ensuring high communication …
accident rate and improve traffic efficiency. However, ensuring high communication …
Reinforcement learning for joint V2I network selection and autonomous driving policies
Z Yan, H Tabassum - GLOBECOM 2022-2022 IEEE Global …, 2022 - ieeexplore.ieee.org
Vehicle-to-Infrastructure (V2I) communication is becoming critical for the enhanced reliability
of autonomous vehicles (AVs). However, the uncertainties in the road-traffic and AVs' …
of autonomous vehicles (AVs). However, the uncertainties in the road-traffic and AVs' …
[HTML][HTML] Beam management optimization for V2V communications based on deep reinforcement learning
Intelligent connected vehicles have garnered significant attention from both academia and
industry in recent years as they form the backbone of intelligent transportation and smart …
industry in recent years as they form the backbone of intelligent transportation and smart …
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