3 papers
eess.SY2023
Towards Addressing Training Data Scarcity Challenge in Emerging Radio Access Networks: A Survey and Framework
Haneya Naeem Qureshi, Usama Masood, Marvin Manalastas +8
The future of cellular networks is contingent on artificial intelligence (AI) based automation, particularly for radio access network (RAN) operation, optimization, and troubleshoo…
cs.NI2023
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…
cs.LG2021
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…