Deterministic identification over fading channels

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

Publikation: Beitrag in Buch/Bericht/KonferenzbandKonferenzbeitragBegutachtung

15 Zitate (Scopus)

Abstract

Deterministic identification (DI) is addressed for Gaussian channels with fast and slow fading, where channel side information is available at the decoder. In particular, it is established that the number of messages scales as 2n log(n)R , where n is the block length and R is the coding rate. Lower and upper bounds on the DI capacity are developed in this scale for fast and slow fading. Consequently, the DI capacity is infinite in the exponential scale and zero in the double-exponential scale, regardless of the channel noise.

OriginalspracheEnglisch
Titel2020 IEEE Information Theory Workshop, ITW 2020
Herausgeber (Verlag)Institute of Electrical and Electronics Engineers Inc.
ISBN (elektronisch)9781728159621
DOIs
PublikationsstatusVeröffentlicht - 11 Apr. 2021
Veranstaltung2020 IEEE Information Theory Workshop, ITW 2020 - Virtual, Riva del Garda, Italien
Dauer: 11 Apr. 202115 Apr. 2021

Publikationsreihe

Name2020 IEEE Information Theory Workshop, ITW 2020

Konferenz

Konferenz2020 IEEE Information Theory Workshop, ITW 2020
Land/GebietItalien
OrtVirtual, Riva del Garda
Zeitraum11/04/2115/04/21

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