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20222026
most citedDelay-sensitive Task Offloading in Vehicular Fog Computing-Assisted Platoons

3 citations · 15 across the 48 of their papers we have counts for

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Showing 2025Show all

11 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

Large Language Model-Based Task Offloading and Resource Allocation for Digital Twin Edge Computing Networks

Qiong Wu, Yu Xie, Pingyi Fan +4

In this paper, we propose a general digital twin edge computing network comprising multiple vehicles and a server. Each vehicle generates multiple computing tasks within a time slo…

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

Optimizing System Latency for Blockchain-Encrypted Edge Computing in Internet of Vehicles

Cui Zhang, Maoxin Ji, Qiong Wu +2

As Internet of Vehicles (IoV) technology continues to advance, edge computing has become an important tool for assisting vehicles in handling complex tasks. However, the process of…

cs.NI2025

Federated Learning Assisted Edge Caching Scheme Based on Lightweight Architecture DDPM

Xun Li, Qiong Wu, Pingyi Fan +3

Edge caching is an emerging technology that empowers caching units at edge nodes, allowing users to fetch contents of interest that have been pre-cached at the edge nodes. The key…

cs.NI2025

A Survey on Semantic Communications in Internet of Vehicles

Sha Ye, Qiong Wu, Pingyi Fan +1

Internet of Vehicles (IoV), as the core of intelligent transportation system, enables comprehensive interconnection between vehicles and their surroundings through multiple communi…

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…

cs.LG2025

Enhanced SPS Velocity-adaptive Scheme: Access Fairness in 5G NR V2I Networks

Xiao Xu, Qiong Wu, Pingyi Fan +1

Vehicle-to-Infrastructure (V2I) technology enables information exchange between vehicles and road infrastructure. Specifically, when a vehicle approaches a roadside unit (RSU), it…