Deterministic Identification over Poisson Channels

Mohammad J. Salariseddigh, Uzi Pereg, Holger Boche, Christian Deppe, Robert Schober

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

16 Scopus citations

Abstract

Deterministic identification (DI) for the discrete-time Poisson channel, subject to an average and a peak power constraint, is considered. It is established that the code size scales as 2(nlogn)R, where n and R are the block length and coding rate, respectively. The authors have recently shown a similar property for Gaussian channels [1]. Lower and upper bounds on the DI capacity of the Poisson channel are developed in this scale. Those imply that the DI capacity is infinite in the exponential scale, regardless of the dark current, i.e., the channel noise parameter.

Original languageEnglish
Title of host publication2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665423908
DOIs
StatePublished - 2021
Event2021 IEEE Globecom Workshops, GC Wkshps 2021 - Madrid, Spain
Duration: 7 Dec 202111 Dec 2021

Publication series

Name2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings

Conference

Conference2021 IEEE Globecom Workshops, GC Wkshps 2021
Country/TerritorySpain
CityMadrid
Period7/12/2111/12/21

Keywords

  • Channel capacity
  • Poisson channel
  • deterministic codes
  • identification

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