124 citations · 125 across the 4 of their papers we have counts for
11 papers
Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation
Omar Alhussein, Ning Zhang, Sami Muhaidat +1
This paper explores the integration of active machine learning (ML) for 6G networks, an area that remains under-explored yet holds potential. Unlike passive ML systems, active ML c…
When Digital Twin Meets Generative AI: Intelligent Closed-Loop Network Management
Xinyu Huang, Haojun Yang, Conghao Zhou +3
Generative artificial intelligence (GAI) and digital twin (DT) are advanced data processing and virtualization technologies to revolutionize communication networks. Thanks to the p…
Accuracy-Aware Cooperative Sensing and Computing for Connected Autonomous Vehicles
Xuehan Ye, Kaige Qu, Weihua Zhuang +1
To maintain high perception performance among connected and autonomous vehicles (CAVs), in this paper, we propose an accuracy-aware and resource-efficient raw-level cooperative sen…
Digital Twin Assisted Intelligent Network Management for Vehicular Applications
Kaige Qu, Weihua Zhuang
The emerging data-driven methods based on artificial intelligence (AI) have paved the way for intelligent, flexible, and adaptive network management in vehicular applications. To e…
Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles
Kaige Qu, Weihua Zhuang, Qiang Ye +2
Cooperative perception (CP) is a key technology to facilitate consistent and accurate situational awareness for connected and autonomous vehicles (CAVs). To tackle the network reso…
User Dynamics-Aware Edge Caching and Computing for Mobile Virtual Reality
Mushu Li, Jie Gao, Conghao Zhou +2
In this paper, we present a novel content caching and delivery approach for mobile virtual reality (VR) video streaming. The proposed approach aims to maximize VR video streaming p…