3 papers
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…
cs.NI2023
An In-Depth Survey on Virtualization Technologies in 6G Integrated Terrestrial and Non-Terrestrial Networks
Sahar Ammar, Chun Pong Lau, Basem Shihada
6G networks are envisioned to deliver a large diversity of applications and meet stringent quality of service (QoS) requirements. Hence, integrated terrestrial and non-terrestrial…