2 citations · 3 across the 9 of their papers we have counts for
9 papers
Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehicles
Jianzhe Xue, Dongcheng Yuan, Yu Sun +5
The growing number of connected vehicles offers an opportunity to leverage internet of vehicles (IoV) data for traffic state estimation (TSE) which plays a crucial role in intellig…
Spatial-Temporal Generative AI for Traffic Flow Estimation with Sparse Data of Connected Vehicles
Jianzhe Xue, Yunting Xu, Dongcheng Yuan +4
Traffic flow estimation (TFE) is crucial for intelligent transportation systems. Traditional TFE methods rely on extensive road sensor networks and typically incur significant cost…
Leveraging Self-Supervised Learning for MIMO-OFDM Channel Representation and Generation
Zongxi Liu, Jiacheng Chen, Yunting Xu +4
In communications theory, the capacity of multiple input multiple output-orthogonal frequency division multiplexing (MIMO-OFDM) systems is fundamentally determined by wireless chan…
Performance Analysis for Downlink Transmission in Multi-Connectivity Cellular V2X Networks
Luofang Jiao, Jiwei Zhao, Yunting Xu +3
With the ever-increasing number of connected vehicles in the fifth-generation mobile communication networks (5G) and beyond 5G (B5G), ensuring the reliability and high-speed demand…
Blockchain-based Pseudonym Management for Vehicle Twin Migrations in Vehicular Edge Metaverse
Jiawen Kang, Xiaofeng Luo, Jiangtian Nie +6
Driven by the great advances in metaverse and edge computing technologies, vehicular edge metaverses are expected to disrupt the current paradigm of intelligent transportation syst…
Towards Scalable Wireless Federated Learning: Challenges and Solutions
Yong Zhou, Yuanming Shi, Haibo Zhou +3
The explosive growth of smart devices (e.g., mobile phones, vehicles, drones) with sensing, communication, and computation capabilities gives rise to an unprecedented amount of dat…