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cs.NI2024
Digital Twin Enhanced Deep Reinforcement Learning for Intelligent Omni-Surface Configurations in MU-MIMO Systems
Xiaowen Ye, Xianghao Yu, Liqun Fu
Intelligent omni-surface (IOS) is a promising technique to enhance the capacity of wireless networks, by reflecting and refracting the incident signal simultaneously. Traditional I…
eess.SP2024
Data-Driven Online Resource Allocation for User Experience Improvement in Mobile Edge Clouds
Liqun Fu, Jingwen Tong, Tongtong Lin +1
As the cloud is pushed to the edge of the network, resource allocation for user experience improvement in mobile edge clouds (MEC) is increasingly important and faces multiple chal…
cs.LG2024★ 3 cited
From Learning to Analytics: Improving Model Efficacy with Goal-Directed Client Selection
Jingwen Tong, Zhenzhen Chen, Liqun Fu +2
Federated learning (FL) is an appealing paradigm for learning a global model among distributed clients while preserving data privacy. Driven by the demand for high-quality user exp…