Creative Commons Attribution 4.0 International license
Cellular networks contribute significantly to global energy demands and carbon emissions due to the millions of base stations deployed worldwide. We characterize the energy consumption of production base stations by performing fine-grained power and network telemetry measurements using off-the-shelf base stations. Our measurements reveal unique insights about how variations in temporal-usage patterns affect base station energy consumption. Based on these insights, we design EcoCell, a software-only solution that introduces energy-efficient traffic patterns in network flows. EcoCell can be implemented either as a traffic scheduler in the radio access network or as an independent middlebox. We evaluate EcoCell with five popular networked applications on a production basestation. We demonstrate savings up to 32% in dynamic energy consumption of a base station, without drops in application-level quality of experience.
@InProceedings{liu_et_al:OASIcs.NINeS.2026.6,
author = {Liu, Zikun and Oh, Seoyul and Tao, Bill and Xie, Yaxiong and Kalia, Anuj and Vasisht, Deepak},
title = {{EcoCell: Energy Conservation Through Traffic Shaping in Cellular Radio Access Networks}},
booktitle = {1st New Ideas in Networked Systems (NINeS 2026)},
pages = {6:1--6:25},
series = {Open Access Series in Informatics (OASIcs)},
ISBN = {978-3-95977-414-7},
ISSN = {2190-6807},
year = {2026},
volume = {139},
editor = {Argyraki, Katerina and Panda, Aurojit},
publisher = {Schloss Dagstuhl -- Leibniz-Zentrum f{\"u}r Informatik},
address = {Dagstuhl, Germany},
URL = {https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NINeS.2026.6},
URN = {urn:nbn:de:0030-drops-255911},
doi = {10.4230/OASIcs.NINeS.2026.6},
annote = {Keywords: energy efficiency, traffic shaping, cellular networks, radio access networks}
}