2026-10-11T13:39:39Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:25591 2026-06-23T10:09:48Z ddc:004 open_access

EcoCell: Energy Conservation Through Traffic Shaping in Cellular Radio Access Networks Liu, Zikun Oh, Seoyul Tao, Bill Xie, Yaxiong Kalia, Anuj Vasisht, Deepak energy efficiency traffic shaping cellular networks radio access networks 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. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Zikun Liu and Seoyul Oh and Bill Tao and Yaxiong Xie and Anuj Kalia and Deepak Vasisht 2026 Is Part Of OASIcs, Volume 139, 1st New Ideas in Networked Systems (NINeS 2026) InProceedings Text doc-type:ResearchArticle publishedVersion application/pdf doi:10.4230/OASIcs.NINeS.2026.6 urn:nbn:de:0030-drops-255911 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NINeS.2026.6 eng https://creativecommons.org/licenses/by/4.0/legalcode