all AI news
Energy-aware Scheduling of Virtualized Base Stations in O-RAN with Online Learning. (arXiv:2208.09956v1 [cs.NI])
Aug. 23, 2022, 1:11 a.m. | Michail Kalntis, George Iosifidis
cs.LG updates on arXiv.org arxiv.org
The design of Open Radio Access Network (O-RAN) compliant systems for
configuring the virtualized Base Stations (vBSs) is of paramount importance for
network operators. This task is challenging since optimizing the vBS scheduling
procedure requires knowledge of parameters, which are erratic and demanding to
obtain in advance. In this paper, we propose an online learning algorithm for
balancing the performance and energy consumption of a vBS. This algorithm
provides performance guarantees under unforeseeable conditions, such as
non-stationary traffic and network …
More from arxiv.org / cs.LG updates on arXiv.org
Generalized Schr\"odinger Bridge Matching
1 day, 11 hours ago |
arxiv.org
Tight bounds on Pauli channel learning without entanglement
1 day, 11 hours ago |
arxiv.org
Automated mapping of virtual environments with visual predictive coding
1 day, 11 hours ago |
arxiv.org
Jobs in AI, ML, Big Data
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Integration Specialist
@ Accenture Federal Services | San Antonio, TX
Geospatial Data Engineer - Location Intelligence
@ Allegro | Warsaw, Poland
Site Autonomy Engineer (Onsite)
@ May Mobility | Tokyo, Japan
Summer Intern, AI (Artificial Intelligence)
@ Nextech Systems | Tampa, FL
Permitting Specialist/Wetland Scientist
@ AECOM | Chelmsford, MA, United States