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Closing the Implementation Gap in MC: Fully Chemical Synchronization and Detection for Cellular Receivers by Heinlein, Bastian; Brand, Lukas; Egan, Malcolm; Schäfer, Maximilian; Schober, Robert; Lotter, Sebastian is a scholarly article available to read on EtoBox.

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In the context of the Internet of Bio-Nano Things (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 receiver (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

Author

Heinlein, Bastian; Brand, Lukas; Egan, Malcolm; Schäfer, Maximilian; Schober, Robert; Lotter, Sebastian

Published

2024

Language

EN