1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.NI2024
To RL or not to RL? An Algorithmic Cheat-Sheet for AI-Based Radio Resource Management
Lorenzo Maggi, Matthew Andrews, Ryo Koblitz
Several Radio Resource Management (RRM) use cases can be framed as sequential decision planning problems, where an agent (the base station, typically) makes decisions that influenc…
cs.IT2023★ 1 cited
Energy savings under performance constraints via carrier shutdown with Bayesian learning
Lorenzo Maggi, Claudiu Mihailescu, Qike Cao +9
By shutting down frequency carriers, the power consumed by a base station can be considerably reduced. However, this typically comes with traffic performance degradation, as the co…