Work

Learning Based Scheduling and Adaptive Congestion Control for Multipath QUIC

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Communications workshops

DOI: 10.1109/iccworkshops67674.2025.11162238

Authors: Souryendu Das, Jianlin Guo, Kieran Parsons, Yukimasa Nagai, Takenori Sumi, Naotaka Sakaguchi, Philip Orlik, Stavros Kalafatis

Institutions: Mitsubishi Electric Research Laboratories (United States), Mitsubishi Electric (Japan), Texas A&M 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: W4414405060

FWCI: 1.329

Cites: 11

Cited by: 1

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