2026-10-11T13:39:36Z https://drops.dagstuhl.de/oai

oai:drops-oai.dagstuhl.de:25600 2026-06-23T10:10:04Z ddc:004 open_access

BISCAY: Practical Radio KPI Driven Congestion Control for Mobile Networks Larrea, Jon Shreedhar, Tanya Niemi, Atte Sefiane, Adel Marina, Mahesh K. Cellular Networks Congestion Control LTE/5G Mobile application performance is often bottlenecked by cellular links with rapid bandwidth fluctuations. We show that radio KPIs from the device chipset can precisely and promptly measure available cellular bandwidth. Building on this, we propose Biscay, a practical KPI-driven congestion control for mobile networks. Biscay leverages OpenDiag, an in-kernel, real-time KPI extractor we introduce along with a KPI-based bandwidth estimator to adjust the congestion window, utilizing available bandwidth while minimizing delay. We implement Biscay and OpenDiag on unrooted Android 5G phones. Across trace-driven emulations and real-world 4G/5G experiments, Biscay outperforms state-of-the-art CCAs (e.g., BBR, CUBIC), typically reducing average and tail delay by >90% while matching or improving throughput. These gains stem from OpenDiag’s 100× finer on-device KPI granularity than existing alternatives like MobileInsight. Schloss Dagstuhl – Leibniz-Zentrum für Informatik Jon Larrea and Tanya Shreedhar and Atte Niemi and Adel Sefiane and Mahesh K. Marina 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.2026.15 urn:nbn:de:0030-drops-256002 https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NINeS.2026.15 eng https://creativecommons.org/licenses/by/4.0/legalcode