12 citations · 23 across the 9 of their papers we have counts for
3 papers · 1 filter
SIA: Symbolic Interpretability for Anticipatory Deep Reinforcement Learning in Network Control
MohammadErfan Jabbari, Abhishek Duttagupta, Claudio Fiandrino +5
Deep reinforcement learning (DRL) promises adaptive control for future mobile networks but conventional agents remain reactive: they act on past and current measurements and cannot…
SymbXRL: Symbolic Explainable Deep Reinforcement Learning for Mobile Networks
Abhishek Duttagupta, MohammadErfan Jabbari, Claudio Fiandrino +2
The operation of future 6th-generation (6G) mobile networks will increasingly rely on the ability of deep reinforcement learning (DRL) to optimize network decisions in real-time. D…
Spectrum & RAN Sharing: A Measurement-based Case Study of Commercial 5G Networks in Spain
Rostand A. K. Fezeu, Lilian C. Freitas, Eman Ramadan +4
Radio Access Network (RAN) sharing, which often also includes spectrum sharing, is a strategic cooperative agreement among two or more mobile operators, where one operator may use…