Rewritable channels with data-dependent noise

Thomas Mittelholzer, Michele Franceschini, Luis A. Lastras-Montaño, Ibrahim M. Elfadel, Mayank Sharma

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

11 Scopus citations

Abstract

We present some recent results on rewritable channels, that is, storage channels that admit optional reading and rewriting of the content at a given cost. This is a general class of channels that models many nonvolatile memories. We focus on the storage capacity of rewritable channels affected by data-dependent noise. We prove tight upper and lower bounds on the storage capacity of a simple yet significant channel model and suggest some simple capacity-achieving coding techniques. Lower bounds on the storage capacity of Gaussian rewritable channels with data-dependent noise are also shown.

Original languageBritish English
Title of host publicationProceedings - 2009 IEEE International Conference on Communications, ICC 2009
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Communications, ICC 2009 - Dresden, Germany
Duration: 14 Jun 200918 Jun 2009

Publication series

NameIEEE International Conference on Communications
ISSN (Print)0536-1486

Conference

Conference2009 IEEE International Conference on Communications, ICC 2009
Country/TerritoryGermany
CityDresden
Period14/06/0918/06/09

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