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

**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.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-22
DOI
https://doi.org/10.5281/zenodo.17175860
Primary Topic
Geochemistry and Geologic Mapping
Type
article
Field-Weighted Citation Impact
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article

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

Zenodo (CERN European Organization for Nuclear Research)
Geochemistry and Geologic Mapping
article

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

article en

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.

Zenodo (CERN European Organization for Nuclear Research)
Freed–Hardeman University (US)
Climate action
Openalex Percentile: Top 30%
Geochemistry and Geologic Mapping
DOIOpen Access PDFOpenAlex
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Hyper-Efficient Congestion Control via Adaptive Redundancy Injection in QUIC Streams · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS