1 citations · 1 across the 2 of their papers we have counts for
2 papers
cs.NI2023
Reducing the Environmental Impact of Wireless Communication via Probabilistic Machine Learning
A. Ryo Koblitz, Lorenzo Maggi, Matthew Andrews
Machine learning methods are increasingly adopted in communications problems, particularly those arising in next generation wireless settings. Though seen as a key climate mitigati…
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…