18 citations · 42 across the 9 of their papers we have counts for
11 papers
Mobile Network Control with a World Model
Maxime Bouton, Ioanna Mitsioni, Simon Lindståhl +1
The increasing complexity of mobile networks necessitates intelligent and dynamic control strategies for efficient, energy-conserving management. We propose a world model-based app…
Multi-agent Reinforcement Learning with Graph Q-Networks for Antenna Tuning
Maxime Bouton, Jaeseong Jeong, Jose Outes +2
Future generations of mobile networks are expected to contain more and more antennas with growing complexity and more parameters. Optimizing these parameters is necessary for ensur…
Deep Learning for Wireless Dynamics
Heunchul Lee, Jaeseong Jeong, Zhao Wang
This paper aims to predict radio channel variations over time by deep learning from channel observations without knowledge of the underlying channel dynamics. In next-generation wi…
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…
Fueling the Next Quantum Leap in Cellular Networks: Embracing AI in 5G Evolution towards 6G
Xingqin Lin, Mingzhe Chen, Henrik Rydén +6
Cellular networks, such as 5G systems, are becoming increasingly complex for supporting various deployment scenarios and applications. Embracing artificial intelligence (AI) in 5G…