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Main Authors: Yu, Qianru, Yang, Tianji, Meng, Jingfan, Xu, Jun
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2602.10020
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author Yu, Qianru
Yang, Tianji
Meng, Jingfan
Xu, Jun
author_facet Yu, Qianru
Yang, Tianji
Meng, Jingfan
Xu, Jun
contents In this work, we solve a long-standing open problem in coding theory with broad applications in networking and systems: designing an erasure code that simultaneously satisfies three requirements: (1) high coding efficiency, (2) low coding complexity, and (3) being a streaming code (defined as one with low decoding latency). We propose METTLE (Multi-Edge Type with Touch-less Leading Edge), the first erasure code to meet all three requirements. Compared to "streaming RaptorQ" (RaptorQ configured with a small source block size to ensure a low decoding latency), METTLE is only slightly worse in coding efficiency, but 47.7 to 84.6 times faster to decode.
format Preprint
id arxiv_https___arxiv_org_abs_2602_10020
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle METTLE: Efficient Streaming Erasure Code with Peeling Decodability
Yu, Qianru
Yang, Tianji
Meng, Jingfan
Xu, Jun
Information Theory
In this work, we solve a long-standing open problem in coding theory with broad applications in networking and systems: designing an erasure code that simultaneously satisfies three requirements: (1) high coding efficiency, (2) low coding complexity, and (3) being a streaming code (defined as one with low decoding latency). We propose METTLE (Multi-Edge Type with Touch-less Leading Edge), the first erasure code to meet all three requirements. Compared to "streaming RaptorQ" (RaptorQ configured with a small source block size to ensure a low decoding latency), METTLE is only slightly worse in coding efficiency, but 47.7 to 84.6 times faster to decode.
title METTLE: Efficient Streaming Erasure Code with Peeling Decodability
topic Information Theory
url https://arxiv.org/abs/2602.10020