Correlated Source Achievable Information Rate Analysis in Diffusive Channels with Memory

Vakilipoor Takaloo F, Barletta L, Bregni S, Magarini M (2024)


Publication Type: Conference contribution

Publication year: 2024

Publisher: Institute of Electrical and Electronics Engineers Inc.

Conference Proceedings Title: 2024 IEEE Latin-American Conference on Communications, LATINCOM 2024 - Proceedings

Event location: Medellin CO

ISBN: 9798331521110

DOI: 10.1109/LATINCOM62985.2024.10770672

Abstract

This paper explores the Achievable Information Rate (AIR) of a diffusive Molecular Communication (MC) channel. We consider a fully absorbing receiver that counts the absorbed particles during each symbol time interval (STI) and uses a binary concentration shift keying modulation. The diffusive MC channel experiences inter-symbol interference (ISI) due to the information particles' delayed arrival. We quantify the channel's memory as an integer multiple of the STI. Under a Gaussian approximation of the channel law, we maximize the mutual information at the output of a detector threshold. Two distinct scenarios are considered for the source symbols: (i) independent and (ii) correlated via a first-order Markov process. It is demonstrated that employing a correlated source enables attaining higher constrained capacity (CC). The results indicate that the CC-achieving input distribution is not necessarily uniform. Notably, for short STI (or strong ISI), the maximum AIR is not achieved through equiprobable symbol transmission.

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APA:

Vakilipoor Takaloo, F., Barletta, L., Bregni, S., & Magarini, M. (2024). Correlated Source Achievable Information Rate Analysis in Diffusive Channels with Memory. In Sergio Armando Gutierrez (Eds.), 2024 IEEE Latin-American Conference on Communications, LATINCOM 2024 - Proceedings. Medellin, CO: Institute of Electrical and Electronics Engineers Inc..

MLA:

Vakilipoor Takaloo, Fardad, et al. "Correlated Source Achievable Information Rate Analysis in Diffusive Channels with Memory." Proceedings of the 2024 IEEE Latin-American Conference on Communications, LATINCOM 2024, Medellin Ed. Sergio Armando Gutierrez, Institute of Electrical and Electronics Engineers Inc., 2024.

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