Codes Correcting Burst and Arbitrary Erasures for Reliable and Low-Latency Communication
February 17, 2023 Β· Declared Dead Β· π IEEE International Conference on Acoustics, Speech, and Signal Processing
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Authors
Serge Kas Hanna, Zhiyuan Tan, Wen Xu, Antonia Wachter-Zeh
arXiv ID
2302.08644
Category
cs.IT: Information Theory
Citations
1
Venue
IEEE International Conference on Acoustics, Speech, and Signal Processing
Last Checked
4 months ago
Abstract
Motivated by modern network communication applications which require low latency, we study codes that correct erasures with low decoding delay. We provide a simple explicit construction that yields convolutional codes that can correct both burst and arbitrary erasures under a maximum decoding delay constraint $T$. Our proposed code has efficient encoding/decoding algorithms and requires a field size that is linear in $T$. We study the performance of our code over the Gilbert-Elliot channel; our simulation results show significant performance gains over low-delay codes existing in the literature.
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