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 congestion on the remaining active carriers is increased. We leverage a hysteresis carrier shutdown policy that attempts to keep the average traffic load on each sector within a certain min/max threshold pair. We propose a closed-loop Bayesian method optimizing such thresholds on a sector basis and aiming at minimizing the power consumed by the power amplifiers while maintaining the probability that KPI's are acceptable above a certain value. We tested our approach in a live customer 4G network. The power consumption at the base station was reduced by 11% and the selected KPI's met the predefined targets.
Cite
@article{arxiv.2302.01093,
title = {Energy savings under performance constraints via carrier shutdown with Bayesian learning},
author = {Lorenzo Maggi and Claudiu Mihailescu and Qike Cao and Alan Tetich and Saad Khan and Simo Aaltonen and Ryo Koblitz and Maunu Holma and Samuele Macchi and Maria Elena Ruggieri and Igor Korenev and Bjarne Klausen},
journal= {arXiv preprint arXiv:2302.01093},
year = {2023}
}