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20222026
most citedMobility-Aware Cooperative Caching in Vehicular Edge Computing Based on Asynchronous Federated and Deep Reinforcement Learning

190 citations · 276 across the 11 of their papers we have counts for

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5 papers · 1 filter

cs.NI2026

Joint Optimization of Trajectory Control, Resource Allocation, and Task Offloading for Multi-UAV-Assisted IoV

Maoxin Ji, Qiong Wu, Pingyi Fan +4

This paper investigates a multi-Unmanned Aerial Vehicle (UAV) joint base station-assisted Internet of Vehicles (IoV) task offloading system in dense urban environments. To minimize…

cs.NI2026

Single-Step Six-Dimensional Movable Antenna Reconfiguration for High-Mobility IoV: Modeling, Analysis, and Optimization

Maoxin Ji, Qiong Wu, Pingyi Fan +4

The Six-Dimensional Movable Antenna (6DMA) system has emerged as a promising technology to enhance wireless capacity by fully exploiting spatial degrees of freedom. However, applyi…

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.NI2022★ 1 cited

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

Qiong Wu, Xiaobo Wang, Qiang Fan +3

Federated edge learning (FEEL) technology for vehicular networks is considered as a promising technology to reduce the computation workload while keeping the privacy of users. In t…

cs.NI2022★ 84 cited

Towards V2I Age-aware Fairness Access: A DQN Based Intelligent Vehicular Node Training and Test Method

Qiong Wu, Shuai Shi, Ziyang Wan +3

Vehicles on the road exchange data with base station (BS) frequently through vehicle to infrastructure (V2I) communications to ensure the normal use of vehicular applications, wher…