1 citations · 1 across the 4 of their papers we have counts for
4 papers
Energy Efficient Sleep Mode Optimization in 5G mmWave Networks via Multi Agent Deep Reinforcement Learning
Saad Masrur, Ismail Guvenc, David Lopez Perez
Dynamic sleep mode optimization (SMO) in millimeter-wave (mmWave) networks is essential for maximizing energy efficiency (EE) under stringent quality-of-service (QoS) constraints.…
Optimal SSB Beam Planning and UAV Cell Selection for 5G Connectivity on Aerial Highways
Matteo Bernabe, David Lopez-Perez, Nicola Piovesan +2
In this article, we introduce a method to optimize 5G massive multiple-input multiple-output (mMIMO) connectivity for unmanned aerial vehicles (UAVs) on aerial highways through str…
Energy-Efficient Sleep Mode Optimization of 5G mmWave Networks Using Deep Contextual MAB
Saad Masrur, Ismail Guvenc, David Lopez-Perez
Millimeter-wave (mmWave) networks, integral to 5G communication, offer a vast spectrum that addresses the issue of spectrum scarcity and enhances peak rate and capacity. However, t…
Data-driven Energy Efficiency Modelling in Large-scale Networks: An Expert Knowledge and ML-based Approach
David López-Pérez, Antonio De Domenico, Nicola Piovesan +1
The energy consumption of mobile networks poses a critical challenge. Mitigating this concern necessitates the deployment and optimization of network energy-saving solutions, such…