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Deterministic Identification over Channels with Power Constraints

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

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

Abstract

Identification capacity is developed without randomization at neither the encoder nor the decoder. In particular, full characterization is established for the deterministic identification (DI) capacity for the Gaussian channel and for the general discrete memoryless channel (DMC) with and without constraints. Originally, Ahlswede and Dueck established the identification capacity with local randomness given at the encoder, resulting in a double exponential number of messages. In the deterministic setup, the number of messages scales exponentially, as in Shannon's transmission paradigm, but the achievable identification rates can be significantly higher than those of transmission. Ahlswede and Dueck further stated a capacity result for the deterministic setting of a DMC, but did not provide an explicit proof. In this paper, a detailed proof is given for both the Gaussian channel and the general DMC. The DI capacity of a Gaussian channel is infinite regardless of the noise.

Original languageEnglish
Title of host publicationICC 2021 - IEEE International Conference on Communications, Proceedings
ISBN (Electronic)9781728171227
DOIs
StatePublished - Jun 2021
Externally publishedYes
Event2021 IEEE International Conference on Communications, ICC 2021 - Virtual, Online, Canada
Duration: 14 Jun 202123 Jun 2021

Publication series

NameIEEE International Conference on Communications

Conference

Conference2021 IEEE International Conference on Communications, ICC 2021
Country/TerritoryCanada
CityVirtual, Online
Period14/06/2123/06/21

Keywords

  • Channel capacity
  • Gaussian channel
  • deterministic codes
  • identification
  • identification without randomization

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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