Closing the Implementation Gap in MC: Fully Chemical Synchronization and Detection for Cellular Receivers

Heinlein B, Brand L, Egan M, Schäfer M, Schober R, Lotter S (2024)

Publication Type: Journal article

Publication year: 2024

Journal

Pages Range: 1-1

DOI: 10.1109/TMBMC.2024.3486190

Abstract

In the context of the IoBNT, nano-devices are envisioned to perform complex tasks collaboratively, i.e., by communicating with each other. One candidate for the implementation of such devices are engineered cells due to their inherent biocompatibility. However, because each engineered cell has only little computational capabilities, transmitter and RX functionalities can afford only limited complexity. In this paper, we propose a simple, yet modular, architecture for a cellular RX that is capable of processing a stream of observed symbols using chemical reaction networks. Furthermore, we propose two specific detector implementations for the RX. The first detector is based on a machine learning model that is trained offline, i.e., before the cellular RX is deployed. The second detector utilizes pilot symbol-based training and is therefore able to continuously adapt to changing channel conditions online, i.e., after deployment. To coordinate the different chemical processing steps involved in symbol detection, the proposed cellular RX leverages an internal chemical timer. Furthermore, the RX is synchronized with the transmitter via external, i.e., extracellular, signals. Finally, the proposed architecture is validated using theoretical analysis and stochastic simulations. The presented results confirm the feasibility of both proposed implementations and reveal that the proposed online learning-based RX is able to perform reliable detection even in initially unknown or slowly changing channels. By its modular design and exclusively chemical implementation, the proposed RX contributes towards the realization of versatile and biocompatible nano-scale communication networks for IoBNT applications narrowing the existing implementation gap in cellular MC.

Authors with CRIS profile

Involved external institutions

Institut National des Sciences Appliquées de Lyon (INSA Lyon) France (FR)

How to cite

APA:

Heinlein, B., Brand, L., Egan, M., Schäfer, M., Schober, R., & Lotter, S. (2024). Closing the Implementation Gap in MC: Fully Chemical Synchronization and Detection for Cellular Receivers. IEEE Transactions on Molecular, Biological and Multi-Scale Communications, 1-1. https://doi.org/10.1109/TMBMC.2024.3486190

MLA:

Heinlein, Bastian, et al. "Closing the Implementation Gap in MC: Fully Chemical Synchronization and Detection for Cellular Receivers." IEEE Transactions on Molecular, Biological and Multi-Scale Communications (2024): 1-1.

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