DRL-based RAT Selection in a Hybrid Vehicular Communication Network
BY Yacheur, T Ahmed… - 2023 IEEE 97th Vehicular …, 2023 - ieeexplore.ieee.org
Cooperative intelligent transport systems rely on a set of Vehicle-to-Everything (V2X)
applications to enhance road safety. Emerging new V2X applications like Advanced Driver …
applications to enhance road safety. Emerging new V2X applications like Advanced Driver …
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 …
Throughput Enhancement in Hybrid Vehicular Networks Using Deep Reinforcement Learning
YB Yacine, A Toufik, M Mohamed - 2023 IEEE Symposium on …, 2023 - ieeexplore.ieee.org
Cooperative intelligent transportation systems are now being widely investigated along with
the emergence of vehicular communication. Services such as collective perception require a …
the emergence of vehicular communication. Services such as collective perception require a …
TacNet: A Tactic-Interactive Resource Allocation Method for Vehicular Networks
To support safety driving and various on-board services, efficient resource allocation is
crucial for the promising implement of vehicle platooning in intelligent transportation systems …
crucial for the promising implement of vehicle platooning in intelligent transportation systems …
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 …
Joint mode selection and resource allocation for cellular V2X communication using distributed deep reinforcement learning under 5G and beyond networks
S Yadav, R Rishi - Computer Communications, 2024 - Elsevier
Abstract Vehicle-to-everything (V2X) communication via cellular networks is a promising
technique for 5G and beyond networks. The cars interact directly with one another, as well …
technique for 5G and beyond networks. The cars interact directly with one another, as well …
Optimizing Hybrid V2X Communication: An Intelligent Technology Selection Algorithm Using 5G, C-V2X PC5 and DSRC
Cooperative communications advancements in Vehicular-to-Everything (V2X) are bolstering
the autonomous driving paradigm. V2X nodes are connected through communication …
the autonomous driving paradigm. V2X nodes are connected through communication …
Enabling DSRC and C-V2X integrated hybrid vehicular networks: Architecture and protocol
Emerging Vehicle-to-Everything (V2X) applications such as Advanced Driver Assistance
Systems (ADAS) and Connected and Autonomous Driving (CAD) requires an excessive …
Systems (ADAS) and Connected and Autonomous Driving (CAD) requires an excessive …
Exploiting multi-RAT diversity in vehicular ad-hoc networks to improve reliability of cooperative automated driving applications
Cooperative automated driving applications require reliable and low-latency exchange of
periodic control information among vehicles in proximity. Performing well at low channel …
periodic control information among vehicles in proximity. Performing well at low channel …
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 …