Subspace Coding for Coded Caching: Decentralized and Centralized Placements Meet for Three Users

Hadi Reisizadeh, Mohammad Ali Maddah-Ali, Soheil Mohajer

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

1 Scopus citations

Abstract

Coded caching is a new approach to decrease the communication load during the peak hours of the network. It provides a significant gain, that is maximized in the centralized setting, where the server controls the placement. In many situations, each user fills its cache without any information about the placement of other users. We show that subspace precoding for placement improves the delivery load of a decentralized caching system compared to uncoded placement. Surprisingly, the proposed scheme achieves the delivery load of the centralized placement for K = 3 users for the entire range of cache size.

Original languageEnglish (US)
Title of host publication2019 IEEE International Symposium on Information Theory, ISIT 2019 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages677-681
Number of pages5
ISBN (Electronic)9781538692912
DOIs
StatePublished - Jul 2019
Event2019 IEEE International Symposium on Information Theory, ISIT 2019 - Paris, France
Duration: Jul 7 2019Jul 12 2019

Publication series

NameIEEE International Symposium on Information Theory - Proceedings
Volume2019-July
ISSN (Print)2157-8095

Conference

Conference2019 IEEE International Symposium on Information Theory, ISIT 2019
CountryFrance
CityParis
Period7/7/197/12/19

Bibliographical note

Funding Information:
This work is supported in part by the National Science Foundation under Grant CCF-1749981.

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