Deterministic Identification for MC Binomial Channel

Salariseddigh MJ, Jamali V, Boche H, Deppe C, Schober R (2023)

Publication Type: Conference contribution

Publication year: 2023

Publisher: Institute of Electrical and Electronics Engineers Inc.

Book Volume: 2023-June

Pages Range: 448-453

Conference Proceedings Title: IEEE International Symposium on Information Theory - Proceedings

Event location: Taipei, TWN

ISBN: 9781665475549

DOI: 10.1109/ISIT54713.2023.10206627

Abstract

The Binomial channel serves as a fundamental model for molecular communication (MC) systems employing molecule-counting receivers. Here, deterministic identification (DI) is addressed for the discrete-time Binomial channels (DTBC), subject to an average and a peak constraint on the molecule release rate. We establish that the number of different messages that can be reliably identified for the DTBC scales as 2(n log n)R, where n and R are the codeword length and coding rate, respectively. Lower and upper bounds on the DI capacity of the DTBC are developed.

Authors with CRIS profile

Robert Schober Lehrstuhl für Digitale Übertragung

Involved external institutions

Technische Universität München (TUM) DE Germany (DE) Technische Universität Darmstadt DE Germany (DE)

How to cite

APA:

Salariseddigh, M.J., Jamali, V., Boche, H., Deppe, C., & Schober, R. (2023). Deterministic Identification for MC Binomial Channel. In IEEE International Symposium on Information Theory - Proceedings (pp. 448-453). Taipei, TWN: Institute of Electrical and Electronics Engineers Inc..

MLA:

Salariseddigh, Mohammad Javad, et al. "Deterministic Identification for MC Binomial Channel." Proceedings of the 2023 IEEE International Symposium on Information Theory, ISIT 2023, Taipei, TWN Institute of Electrical and Electronics Engineers Inc., 2023. 448-453.

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