Source Coding at the Edge: User Preference Oriented Lossless Data Compression

Yawei Lu, Wei Chen, H. Vincent Poor

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

Source coding is an efficient technique to save data storage and transmission costs. Traditional source coding methods are usually designed based on the statistical distribution of symbols generated by the information source. Notice that, in content-centric networks, the user preference has a significant impact on the statistical distribution of symbols transmitted in the links. This paper presents an edge source coding method to compress data in the network edge. An optimization problem is formulated to obtain the optimal codebook design. Based on the solution of the single codebook case, an optimality condition for the optimization problem is presented. For discrete user preferences, a variant of the k-means++ algorithm is used to give a suboptimal solution. For continuous user preferences, two algorithms are proposed to give codebook designs. Both theoretical analysis and simulations demonstrate the optimal codebook design should take into account the user preferences.

Original languageEnglish (US)
Title of host publication2019 IEEE International Conference on Communications, ICC 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538680889
DOIs
StatePublished - May 2019
Event2019 IEEE International Conference on Communications, ICC 2019 - Shanghai, China
Duration: May 20 2019May 24 2019

Publication series

NameIEEE International Conference on Communications
Volume2019-May
ISSN (Print)1550-3607

Conference

Conference2019 IEEE International Conference on Communications, ICC 2019
CountryChina
CityShanghai
Period5/20/195/24/19

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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