54 citations · 100 across the 11 of their papers we have counts for
13 papers
Tracking the Best Beam for a Mobile User via Bayesian Optimization
Lorenzo Maggi, Ryo Koblitz, Qiping Zhu +1
The standard beam management procedure in 5G requires the user equipment (UE) to periodically measure the received signal reference power (RSRP) on each of a set of beams proposed…
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…
Bayesian and Multi-Armed Contextual Meta-Optimization for Efficient Wireless Radio Resource Management
Yunchuan Zhang, Osvaldo Simeone, Sharu Theresa Jose +2
Optimal resource allocation in modern communication networks calls for the optimization of objective functions that are only accessible via costly separate evaluations for each can…
Learning Algorithms for Regenerative Stopping Problems with Applications to Shipping Consolidation in Logistics
Kishor Jothimurugan, Matthew Andrews, Jeongran Lee +1
We study regenerative stopping problems in which the system starts anew whenever the controller decides to stop and the long-term average cost is to be minimized. Traditional model…
Bayesian Optimization for Radio Resource Management: Open Loop Power Control
Lorenzo Maggi, Alvaro Valcarce Rial, Jakob Hoydis
We provide the reader with an accessible yet rigorous introduction to Bayesian optimisation with Gaussian processes (BOGP) for the purpose of solving a wide variety of radio resour…
Multi-Path Alpha-Fair Resource Allocation at Scale in Distributed Software Defined Networks
Zaid Allybokus, Konstantin Avrachenkov, Jérémie Leguay +1
The performance of computer networks relies on how bandwidth is shared among different flows. Fair resource allocation is a challenging problem particularly when the flows evolve o…