Work

Regression Model Building and Efficiency Prediction of RoHCv2 Compressor Implementations for VoIP

Year: 2016

Type: conference-paper

Source: Globecom

DOI: 10.1109/glocom.2016.7842207

Authors: Mate Tomoskozi, Patrick Seeling, Peter Ekler, Frank H. P. Fitzek

Institutions: Budapest University of Technology and Economics, Technische Universität Dresden, Aalborg University, Central Michigan University

Language: English

Topic: Network Traffic and Congestion Control

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W2584029012

FWCI: 2.052

Cites: 14

Cited by: 15

Related to: 10