Prediction of RoHCv1 and RoHCv2 Compressor Utilities for VoIP

DOI10.14232/ACTACYB.23.2.2017.17zbMath1399.90051OpenAlexW2766458002MaRDI QIDQ3133276

Máté Tömösközi, Patrick Seeling, Frank H. P. Fitzek, Péter Ekler

Publication date: 13 February 2018

Published in: Acta Cybernetica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.14232/actacyb.23.2.2017.17

zbMATH Keywords

linear regressionmachine learningcellular networksmobile multimediabandwidth savingsrobust header compression

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Communication networks in operations research (90B18)

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