3 citations · 15 across the 48 of their papers we have counts for
50 papers
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…
Federated Client Selection under Partial Visibility: A POMDP Approach with Spatio-Temporal Attention
Qijun Hou, Yuchen Shi, Pingyi Fan +1
Federated learning relies on effective client selection to alleviate the performance degradation caused by data heterogeneity. Most existing methods assume full visibility of all c…
Satellite NOMA for Direct-to-Cell Communications: Fundamentals, Protocols, and Opportunities
Xiangyu Li, Bodong Shang, Junchao Ma +3
Direct-to-cell (DTC) satellite communication is regarded as one of the most recent technologies that provides global connectivity. However, with the growing number of wireless user…
FedGMI: Generative Model-Driven Federated Learning for Probabilistic Mixture Inference
Qijun Hou, Yuchen Shi, Pingyi Fan +1
Federated Learning (FL) facilitates collaborative model training across decentralized clients while preserving data privacy by avoiding raw data exchange. Despite its potential, FL…
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…
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…
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…
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…
EdgeFLow: Serverless Federated Learning via Sequential Model Migration in Edge Networks
Yuchen Shi, Qijun Hou, Pingyi Fan +1
Federated Learning (FL) has emerged as a transformative distributed learning paradigm in the era of Internet of Things (IoT), reconceptualizing data processing methodologies. Howev…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…
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…