1.7k citations · 2k across the 39 of their papers we have counts for
3 papers · 1 filter
Data-Driven Cellular Mobility Management via Bayesian Optimization and Reinforcement Learning
Mohamed Benzaghta, Sahar Ammar, David López-Pérez +2
Mobility management in cellular networks faces increasing complexity due to network densification and heterogeneous user mobility characteristics. Traditional handover (HO) mechani…
Data-Driven Design of 3GPP Handover Parameters with Bayesian Optimization and Transfer Learning
Mohamed Benzaghta, Sahar Ammar, David López-Pérez +2
Mobility management in dense cellular networks is challenging due to varying user speeds and deployment conditions. Traditional 3GPP handover (HO) schemes, relying on fixed A3-offs…
Gradient Compression and Correlation Driven Federated Learning for Wireless Traffic Prediction
Chuanting Zhang, Haixia Zhang, Shuping Dang +2
Wireless traffic prediction plays an indispensable role in cellular networks to achieve proactive adaptation for communication systems. Along this line, Federated Learning (FL)-bas…