Winet Lab
Wireless Networking Lab in Yonsei University
Latest News
View all →Research Areas
View all →6G AI-Powered Non-Terrestrial Networks (NTN)
AI-based resource allocation research integrating non-terrestrial networks (NTN) — satellites, UAVs — with 6G
Federated Learning on Distributed Edge Devices/IoT
Communication-efficient federated learning across edge/IoT devices, without sharing raw data
Internet of Vehicles with Machine Learning
Machine-learning-based handover prediction and low-latency communication for vehicular networking (V2X)
IoT Edge Networking for Deep Learning-based Applications
Networking techniques for running deep learning workloads on IoT edge environments
Machine-to-Machine (M2M) IoT for Metaverse
Large-scale M2M IoT network architecture research to support metaverse services
6G-advanced Heterogeneous Networks
Interference management and traffic offloading research for heterogeneous networks (HetNets) from a 6G-advanced perspective
Mobility Management
Mobility management research ensuring communication continuity across multi-cell/multi-network movement
Recent Publications
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Success-Probability-Aware Federated Learning in Aerial–Terrestrial Integrated Vehicular Networks
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Reliable Task Offloading in RIS-assisted MEC System with Imperfect CSI
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Link-Aware Routing in Multi-Tier LEO Mega-Constellations
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Pipelined UAV-Enabled federated learning for IoT networks
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V2V Communication-Assisted Federated Learning in Vehicular Networks