Mobility-aware cooperative caching in vehicular edge computing based on asynchronous federated and deep reinforcement learning

Q Wu, Y Zhao, Q Fan, P Fan, J Wang… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Vehicular edge computing (VEC) can learn and cache most popular contents for vehicular
users (VUs) in the roadside units (RSUs) to support real-time vehicular applications …

Task-oriented image transmission for scene classification in unmanned aerial systems

X Kang, B Song, J Guo, Z Qin… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The vigorous developments of the Internet of Things make it possible to extend its computing
and storage capabilities to computing tasks in the aerial system with the collaboration of …

Towards V2I age-aware fairness access: A DQN based intelligent vehicular node training and test method

W Qiong, S Shuai, W Ziyang, F Qiang… - Chinese Journal of …, 2023 - ieeexplore.ieee.org
Vehicles on the road exchange data with base station frequently through vehicle to
infrastructure (V2I) communications to ensure the normal use of vehicular applications …

A UAV-aided vehicular integrated platooning network for heterogeneous resource management

J Zhao, Y Nie, H Zhang, FR Yu - IEEE Transactions on Green …, 2023 - ieeexplore.ieee.org
Platooning unmanned ground vehicles (UGVs) are envisioned as a green and effective
paradigm to enhance transportation performance. However, limited computing …

A power allocation scheme for MIMO-NOMA and D2D vehicular edge computing based on decentralized DRL

D Long, Q Wu, Q Fan, P Fan, Z Li, J Fan - Sensors, 2023 - mdpi.com
In vehicular edge computing (VEC), some tasks can be processed either locally or on the
mobile edge computing (MEC) server at a base station (BS) or a nearby vehicle. In fact …

Dual-objective intelligent vehicle lane changing trajectory planning based on polynomial optimization

Y Kou, C Ma - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
With the diversification and deepening of intelligent technology research, intelligent vehicles
are gradually involved in entering the transportation life. When intelligent vehicles enter the …

[PDF][PDF] A Review of Device-Free Indoor Positioning for Home-Based Care of the Aged: Techniques and Technologies.

G Chen, L Cheng, R Shao, Q Wang… - … -Computer Modeling in …, 2023 - cdn.techscience.cn
With the development of urbanization, the problem of neurological diseases brought about
by population aging has gradually become a social problem of worldwide concern. Aging …

High stable and accurate vehicle selection scheme based on federated edge learning in vehicular networks

Q Wu, X Wang, Q Fan, P Fan, C Zhang… - China …, 2023 - ieeexplore.ieee.org
Federated edge learning (FEEL) technology for vehicular networks is considered as a
promising technology to reduce the computation workload while keeping the privacy of …

Coordination for connected and autonomous vehicles at unsignalized intersections: An iterative learning based collision-free motion planning method

B Wang, X Gong, Y Wang, P Lyu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Motion planning and control of connected and autonomous vehicles (CAVs) for improving
traffic efficiency and safety in intersections still meets many challenges due to its dynamic …

Collaborative Perception—The Missing Piece in Realizing Fully Autonomous Driving

S Malik, MJ Khan, MA Khan, H El-Sayed - Sensors, 2023 - mdpi.com
Environment perception plays a crucial role in enabling collaborative driving automation,
which is considered to be the ground-breaking solution to tackling the safety, mobility, and …