Burst-Erasure Correcting Codes With Optimal Average Delay

Nitzan Adler, Yuval Cassuto

Research output: Contribution to journalArticlepeer-review

Abstract

The objective of low-delay codes is to protect communication streams from erasure bursts by minimizing the time between the packet erasure and its reconstruction. Previous work has concentrated on the constant-delay scenario, where all erased packets need to exhibit the same decoding delay. We consider the case of heterogeneous delay, where the objective is to minimize the average delay across the erased packets in a burst. We derive delay lower bounds for the average case, and show that they match the constant-delay bounds only at a single rate point R=0.5. We then construct codes with optimal average delays for the entire range of code rates. The construction for rates R ≤ 0.5 achieves optimality for every erasure instance, while the construction for rates R>0.5 is optimal for a (1-R)/R fraction of all burst instances and close to optimal for the remaining fraction. The paper also studies the benefits of delay heterogeneity within the application of sensor communications. It is shown that a carefully designed code can significantly improve the temporal precision at the receiving node following erasure-burst events.

Original languageEnglish
Article number7839973
Pages (from-to)2848-2865
Number of pages18
JournalIEEE Transactions on Information Theory
Volume63
Issue number5
DOIs
StatePublished - May 2017

Keywords

  • Low-delay codes
  • average delay
  • burst erasures
  • codes for sensor communications
  • erasure codes

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Computer Science Applications
  • Library and Information Sciences

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