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20242026
most citedGraph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X Communications

1 citations · 3 across the 28 of their papers we have counts for

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6 papers · 1 filter

cs.LG2025

Semantic-Aware Cooperative Communication and Computation Framework in Vehicular Networks

Jingbo Zhang, Maoxin Ji, Qiong Wu +3

Semantic Communication (SC) combined with Vehicular edge computing (VEC) provides an efficient edge task processing paradigm for Internet of Vehicles (IoV). Focusing on highway sce…

cs.LG2025

Personalized Federated Distillation Assisted Vehicle Edge Caching Strategy

Xun Li, Qiong Wu, Pingyi Fan +3

Vehicle edge caching is a promising technology that can significantly reduce the latency for vehicle users (VUs) to access content by pre-caching user-interested content at edge no…

cs.NI2025

Velocity-Adaptive Access Scheme for Semantic-Aware Vehicular Networks: Joint Fairness and AoI Optimization

Xiao Xu, Qiong Wu, Pingyi Fan +4

In this paper, we address the problem of fair access and Age of Information (AoI) optimization in 5G New Radio (NR) Vehicle to Everything (V2X) Mode 2. Specifically, vehicles need…

cs.LG2025

Velocity and Density-Aware RRI Analysis and Optimization for AoI Minimization in IoV SPS

Maoxin Ji, Tong Wang, Qiong Wu +3

Addressing the problem of Age of Information (AoI) deterioration caused by packet collisions and vehicle speed-related channel uncertainties in Semi-Persistent Scheduling (SPS) for…

cs.NI2025

Enhanced Velocity-Adaptive Scheme: Joint Fair Access and Age of Information Optimization in Vehicular Networks

Xiao Xu, Qiong Wu, Pingyi Fan +4

In this paper, we consider the fair access problem and the Age of Information (AoI) under 5G New Radio (NR) Vehicle-to-Infrastructure (V2I) Mode 2 in vehicular networks. Specifical…

cs.NI2025

PPO-Based Vehicle Control for Ramp Merging Scheme Assisted by Enhanced C-V2X

Qiong Wu, Maoxin Ji, Pingyi Fan +4

On-ramp merging presents a critical challenge in autonomous driving, as vehicles from merging lanes need to dynamically adjust their positions and speeds while monitoring traffic o…