activity
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

collaborators

30 papers

cs.NI2026

Active Movable-Element RIS Assisted Vehicular Semantic Communications: Modeling and Optimization

Maoxin Ji, Qiong Wu, Jingbo Zhang +5

Severe signal blockage and fast-varying channels in vehicular environments pose critical challenges to reliable semantic communication. To address these, this paper proposes a nove…

cs.IT2026

Fundamental Tradeoff in Movable Antenna Systems: How Long to Move Before Transmission?

Guojie Hu, Qingqing Wu, Lipeng Zhu +2

The movable antenna (MA) technology enables flexible reconfiguration of wireless channels through adaptive antenna deployment, offering significant potential for enhancing communic…

eess.SP2026

Two-Timescale Design for Rotatable-Antenna Systems With Imperfect CSI: Rate Analysis and Orientation Optimization

Ziyuan Zheng, Qingqing Wu, Wen Chen

This paper studies uplink multiuser MIMO with a rotatable antenna (RA) array under imperfect channel state information (CSI), where each base-station antenna can adjust its boresig…

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.NI2026

6D Movable Antenna for Internet of Vehicles: CSI-Free Dynamic Antenna Configuration

Maoxin Ji, Qiong Wu, Pingyi Fan +3

Deploying six-dimensional movable antenna (6DMA) systems in Internet-of-Vehicles (IoV) scenarios can greatly enhance spectral efficiency. However, the high mobility of vehicles cau…

cs.LG2026

U-Parking: Distributed UWB-Assisted Autonomous Parking System with Robust Localization and Intelligent Planning

Yiang Wu, Qiong Wu, Pingyi Fan +4

This demonstration presents U-Parking, a distributed Ultra-Wideband (UWB)-assisted autonomous parking system. By integrating Large Language Models (LLMs)-assisted planning with rob…

cs.NI2026

LLM-Empowered Cooperative Content Caching in Vehicular Fog Caching-Assisted Platoon Networks

Bowen Tan, Qiong Wu, Pingyi Fan +3

This letter proposes a novel three-tier content caching architecture for Vehicular Fog Caching (VFC)-assisted platoon, where the VFC is formed by the vehicles driving near the plat…

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…

cs.LG2024

DRL-Based Optimization for AoI and Energy Consumption in C-V2X Enabled IoV

Zheng Zhang, Qiong Wu, Pingyi Fan +3

To address communication latency issues, the Third Generation Partnership Project (3GPP) has defined Cellular-Vehicle to Everything (C-V2X) technology, which includes Vehicle-to-Ve…

cs.LG2024

Semantic-Aware Resource Management for C-V2X Platooning via Multi-Agent Reinforcement Learning

Wenjun Zhang, Qiong Wu, Pingyi Fan +4

Semantic communication transmits the extracted features of information rather than raw data, significantly reducing redundancy, which is crucial for addressing spectrum and energy…

eess.SY2024

V2X-Assisted Distributed Computing and Control Framework for Connected and Automated Vehicles under Ramp Merging Scenario

Qiong Wu, Jiahou Chu, Pingyi Fan +4

This paper investigates distributed computing and cooperative control of connected and automated vehicles (CAVs) in ramp merging scenario under transportation cyber-physical system…

cs.CR2024

Blockchain-Enabled Variational Information Bottleneck for Data Extraction Based on Mutual Information in Internet of Vehicles

Cui Zhang, Wenjun Zhang, Qiong Wu +4

The Internet of Vehicles (IoV) network can address the issue of limited computing resources and data processing capabilities of individual vehicles, but it also brings the risk of…

eess.SY2024

Channel Characterization of IRS-assisted Resonant Beam Communication Systems

Wen Fang, Wen Chen, Qingqing Wu +3

To meet the growing demand for data traffic, spectrum-rich optical wireless communication (OWC) has emerged as a key technological driver for the development of 6G. The resonant be…

cs.LG2024

DRL-Based Federated Self-Supervised Learning for Task Offloading and Resource Allocation in ISAC-Enabled Vehicle Edge Computing

Xueying Gu, Qiong Wu, Pingyi Fan +3

Intelligent Transportation Systems (ITS) leverage Integrated Sensing and Communications (ISAC) to enhance data exchange between vehicles and infrastructure in the Internet of Vehic…

cs.CV2024

DRL-Based Resource Allocation for Motion Blur Resistant Federated Self-Supervised Learning in IoV

Xueying Gu, Qiong Wu, Pingyi Fan +4

In the Internet of Vehicles (IoV), Federated Learning (FL) provides a privacy-preserving solution by aggregating local models without sharing data. Traditional supervised learning…

eess.SP2024

Cramer-Rao Bound Minimization for Movable Antenna-Assisted Multiuser Integrated Sensing and Communications

Haoran Qin, Wen Chen, Qingqing Wu +3

This paper investigates a movable antenna (MA)-assisted multiuser integrated sensing and communication (ISAC) system, where the base station (BS) and communication users are all eq…

cs.LG2024

Reconfigurable Intelligent Surface Aided Vehicular Edge Computing: Joint Phase-shift Optimization and Multi-User Power Allocation

Kangwei Qi, Qiong Wu, Pingyi Fan +3

Vehicular edge computing (VEC) is an emerging technology with significant potential in the field of internet of vehicles (IoV), enabling vehicles to perform intensive computational…

cs.LG2024

Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network

Yu Xie, Qiong Wu, Pingyi Fan +4

As a promising technology, vehicular edge computing (VEC) can provide computing and caching services by deploying VEC servers near vehicles. However, VEC networks still face challe…