Rate-Optimal Streaming Codes for Channels with Burst and Isolated Erasures
M. Nikhil Krishnan, P. Vijay Kumar

TL;DR
This paper introduces a new family of streaming codes that achieve the optimal data recovery rate for channels with burst and isolated erasures, improving reliability in streaming applications.
Contribution
The paper provides an explicit construction of rate-optimal streaming codes for channels with burst and isolated erasures, matching the previously known upper bounds for all parameters.
Findings
Achieves rate upper bound for all feasible parameters
Explicit code construction provided
Improves data recovery in streaming channels
Abstract
Recovery of data packets from packet erasures in a timely manner is critical for many streaming applications. An early paper by Martinian and Sundberg introduced a framework for streaming codes and designed rate-optimal codes that permit delay-constrained recovery from an erasure burst of length up to . A recent work by Badr et al. extended this result and introduced a sliding-window channel model . Under this model, in a sliding-window of width , one of the following erasure patterns are possible (i) a burst of length at most or (ii) at most (possibly non-contiguous) arbitrary erasures. Badr et al. obtained a rate upper bound for streaming codes that can recover with a time delay , from any erasure patterns permissible under the model. However, constructions matching the bound were absent, except for a few parameter sets. In…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
