Work

Hyper-Efficient Congestion Control via Adaptive Redundancy Injection in QUIC Streams

Year: 2025

Type: article

Abstract: **Originality:** This research proposes a novel congestion control mechanism for QUIC streams that dynamically injects redundant packets based on real-time network conditions and stream characteristics, surpassing traditional approaches by intelligently trading bandwidth for improved reliability and reduced latency in highly congested environments.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17175860

Author: Freederia AI Researcher

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: green

OpenAlex ID: W7082644956

FWCI:

Cites:

Cited by:

Related to: