Reinforcement learning based resource allocation scheme for vehicular communication in 5G networks for smart cities. [PDF]
Brindha S +3 more
europepmc +1 more source
Intelligent Congestion Control in the Internet of Vehicles Employing Network Slicing in 5G Architecture. [PDF]
Ahmad AW, Gul RS, Derawi M.
europepmc +1 more source
VR-H2Safe: a VR-based hydrogen vehicle safety & efficiency optimization platform with V2X integration. [PDF]
BaniSalman M +6 more
europepmc +1 more source
Hierarchical Model Selection and Control for Latency-Energy Optimization in MEC-Assisted Vehicular Networks. [PDF]
Song I, Kang S, Ros S, Kim S.
europepmc +1 more source
Resource-Adaptive Semantic Transmission and Client Scheduling for OFDM-Based V2X Communications. [PDF]
Liu J, Chen Y, Wu W, Tian F.
europepmc +1 more source
A Lightweight Identity Authentication Protocol for Vehicle Ad Hoc Network Based on PUF-Obfuscation. [PDF]
Song J, Wang X, Lu P.
europepmc +1 more source
Deep Reinforcement Learning for Secure and Low-Latency Communications in UAV-Mounted STAR-RIS Assisted Urban Vehicular Networks. [PDF]
Tang J, Yuan J, Zhao H, Chen M, Peng Y.
europepmc +1 more source
CooPre: Cooperative Pretraining for V2X Cooperative Perception
Existing Vehicle-to-Everything (V2X) cooperative perception methods rely on accurate multi-agent 3D annotations. Nevertheless, it is time-consuming and expensive to collect and annotate real-world data, especially for V2X systems.
Xu, Chenfeng +5 more
core
Gain-enhanced petal-shaped MIMO antenna system with FSS loading for sub-6 GHz V2X communications. [PDF]
Perli BR +6 more
europepmc +1 more source
Two-Tier Anomaly Detection for V2I Alerting on IoT Vehicle Counts: A Kuwait Corridor Benchmark. [PDF]
AlSaqabi Y.
europepmc +1 more source

