5 papers · 1 filter
Learning Optimal Antenna Tilt Control Policies: A Contextual Linear Bandit Approach
Filippo Vannella, Alexandre Proutiere, Yassir Jedra +1
Controlling antenna tilts in cellular networks is imperative to reach an efficient trade-off between network coverage and capacity. In this paper, we devise algorithms learning opt…
A Graph Attention Learning Approach to Antenna Tilt Optimization
Yifei Jin, Filippo Vannella, Maxime Bouton +2
6G will move mobile networks towards increasing levels of complexity. To deal with this complexity, optimization of network parameters is key to ensure high performance and timely…
A Safe Reinforcement Learning Architecture for Antenna Tilt Optimisation
Erik Aumayr, Saman Feghhi, Filippo Vannella +2
Safe interaction with the environment is one of the most challenging aspects of Reinforcement Learning (RL) when applied to real-world problems. This is particularly important when…
Remote Electrical Tilt Optimization via Safe Reinforcement Learning
Filippo Vannella, Grigorios Iakovidis, Ezeddin Al Hakim +2
Remote Electrical Tilt (RET) optimization is an efficient method for adjusting the vertical tilt angle of Base Stations (BSs) antennas in order to optimize Key Performance Indicato…
Off-policy Learning for Remote Electrical Tilt Optimization
Filippo Vannella, Jaeseong Jeong, Alexandre Proutiere
We address the problem of Remote Electrical Tilt (RET) optimization using off-policy Contextual Multi-Armed-Bandit (CMAB) techniques. The goal in RET optimization is to control the…