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cs.IT2025
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…
cs.IT2025
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…