Deterministic Identification over Poisson Channels

Salariseddigh MJ, Pereg U, Boche H, Deppe C, Schober R (2021)

Publication Type: Conference contribution

Publication year: 2021

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings

Event location: Madrid, ESP

ISBN: 9781665423908

DOI: 10.1109/GCWkshps52748.2021.9682110

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.

Authors with CRIS profile

Robert Schober Lehrstuhl für Digitale Übertragung (IDC)

Involved external institutions

Technische Universität München (TUM) DE Germany (DE)

How to cite

APA:

Salariseddigh, M.J., Pereg, U., Boche, H., Deppe, C., & Schober, R. (2021). Deterministic Identification over Poisson Channels. In 2021 IEEE Globecom Workshops, GC Wkshps 2021 - Proceedings. Madrid, ESP: Institute of Electrical and Electronics Engineers Inc..

MLA:

Salariseddigh, Mohammad J., et al. "Deterministic Identification over Poisson Channels." Proceedings of the 2021 IEEE Globecom Workshops, GC Wkshps 2021, Madrid, ESP Institute of Electrical and Electronics Engineers Inc., 2021.

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