20 citations · 34 across the 5 of their papers we have counts for
5 papers
Collaborative Driving: Learning- Aided Joint Topology Formulation and Beamforming
Yao Zhang, Changle Li, Tom H. Luan +1
Currently, autonomous vehicles are able to drive more naturally based on the driving policies learned from millions of driving miles in real environments. However, to further impro…
Learning Based Task Offloading in Digital Twin Empowered Internet of Vehicles
Jinkai Zheng, Tom H. Luan, Longxiang Gao +2
Mobile edge computing has become an effective and fundamental paradigm for futuristic autonomous vehicles to offload computing tasks. However, due to the high mobility of vehicles,…
Autonomous Vehicular Networks: Perspective and Open Issues
Tom H. Luan, Yao Zhang, Lin Cai +3
The vehicular ad hoc networks (VANETs) have been researched for over twenty years. Although being a fundamental communication approach for vehicles, the conventional VANETs are cha…
A Mobility-Aware Vehicular Caching Scheme in Content Centric Networks: Model and Optimization
Yao Zhang, Changle Li, Tom H. Luan +3
Edge caching is being explored as a promising technology to alleviate the network burden of cellular networks by separating the computing functionalities away from cellular base st…
Building Transmission Backbone for Highway Vehicular Networks: Framework and Analysis
Changle Li, Yao Zhang, Tom H. Luan +1
The highway vehicular ad hoc networks, where vehicles are wirelessly inter-connected, rely on the multi-hop transmissions for end-to-end communications. This, however, is severely…