Optimization of Degree Distribution for Layer-aligned Multipriority Rateless Codes based on Safety Criteria of Ripple

Lien En Hung*, Chun Kuan Lee, Hsu Feng Hsiao

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

Data loss or errors happen frequently on real networks. A common way of addressing this issue is packet retransmission, at the cost of potentially excessive transmission delay. For applications such as multimedia streaming, using channel coding to combat packet loss or errors is a more attractive option. Rateless codes have been an interesting approach due to their lower coding complexity and versatility. Layer-aligned multipriority rateless codes were originally designed for streaming with the capability of unequal error protection. In this paper, we are interested in finding a better degree distribution for such codes. We firstly derive the safety criteria of ripple sizes using a proposed leaping random walk model. In addition, we design an estimate function to predict the ripple size variation for the layer-aligned multipriority rateless codes. To achieve a better degree distribution, we use a genetic algorithm to optimize a multi-objective problem that we have formulated. This enabled us to improve the overall performance of the coding methods. Our simulation results demonstrate that the optimized degree distribution lead to significant improvements in error correction and data recovery rates.

Original languageEnglish
Title of host publicationICUFN 2023 - 14th International Conference on Ubiquitous and Future Networks
PublisherIEEE Computer Society
Pages500-505
Number of pages6
ISBN (Electronic)9798350335385
DOIs
StatePublished - 2023
Event14th International Conference on Ubiquitous and Future Networks, ICUFN 2023 - Paris, France
Duration: 4 Jul 20237 Jul 2023

Publication series

NameInternational Conference on Ubiquitous and Future Networks, ICUFN
Volume2023-July
ISSN (Print)2165-8528
ISSN (Electronic)2165-8536

Conference

Conference14th International Conference on Ubiquitous and Future Networks, ICUFN 2023
Country/TerritoryFrance
CityParis
Period4/07/237/07/23

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