FedSSC: Joint client selection and resource management for communication-efficient federated vehicular networks
As a promising distributed technology, federated learning (FL) has been widely used in
vehicular networks involving large amounts of IoT-enabled sensor data, which derives …
vehicular networks involving large amounts of IoT-enabled sensor data, which derives …
Impact of dust and sand on 5G communications for connected vehicles applications
E Abuhdima, J Liu, C Zhao, A Elqaouaq… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Recent research activities are focused on improving Vehicle-to-Vehicle Communication
(V2V) based on the 5G Technology. V2V applications are important because they are …
(V2V) based on the 5G Technology. V2V applications are important because they are …
Robust, resilient and reliable architecture for v2x communications
The new developments in mobile edge computing (MEC) and vehicle-to-everything (V2X)
communications has positioned 5G and beyond in a strong position to answer the market …
communications has positioned 5G and beyond in a strong position to answer the market …
MCLA task offloading framework for 5G-NR-V2X-based heterogeneous VECNs
Ensuring dependable quality of service (QoS) and quality of experience (QoE) for
computation-intensive and delay-sensitive applications in vehicles can be a challenging …
computation-intensive and delay-sensitive applications in vehicles can be a challenging …
MilliCar: An ns-3 module for mmWave NR V2X networks
Vehicle-to-vehicle (V2V) communications have opened the way towards cooperative
automated driving as a means to guarantee improved road safety and traffic efficiency. The …
automated driving as a means to guarantee improved road safety and traffic efficiency. The …
A comparative evaluation of propagation characteristics of vehicular VLC and MMW channels
Vehicle-to-vehicle (V2V) communication is an underlying key technology to realize future
intelligent transportation systems. Both millimeter wave (MMW) communication and visible …
intelligent transportation systems. Both millimeter wave (MMW) communication and visible …
RFID: Towards low latency and reliable DAG task scheduling over dynamic vehicular clouds
Vehicular cloud (VC) platforms integrate heterogeneous and distributed resources of moving
vehicles to offer timely and cost-effective computing services. However, the dynamic nature …
vehicles to offer timely and cost-effective computing services. However, the dynamic nature …
GA-DRL: Graph Neural Network-Augmented Deep Reinforcement Learning for DAG Task Scheduling over Dynamic Vehicular Clouds
Vehicular Clouds (VCs) are modern platforms for processing of computation-intensive tasks
over vehicles. Such tasks are often represented as Directed Acyclic Graphs (DAGs) …
over vehicles. Such tasks are often represented as Directed Acyclic Graphs (DAGs) …
Towards safe automated driving: Design of software-defined dynamic mmwave v2x networks and poc implementation
The technical exploration of safe automated driving has evolved from single vehicle
intelligence to vehicular networking. Therefore, to a certain extent, the safety requirements …
intelligence to vehicular networking. Therefore, to a certain extent, the safety requirements …
Deep learning-based path loss prediction for fifth-generation new radio vehicle communications
Fifth-generation (5G) technology is rapidly spreading to vehicle-to-vehicle (V2V)
communication, which requires high reliability, high data transmission rate, and low latency …
communication, which requires high reliability, high data transmission rate, and low latency …