Autoencoder-based Optimization of Multi-user Molecule Mixture Communication Systems

Fuente: arXiv
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Main Authors: Heinlein, Bastian, Jiménez, Nuria Zurita, Zhu, Kaikai, Carkit-Yilmaz, Sümeyye, Schober, Robert, Jamali, Vahid, Schäfer, Maximilian
Format: Preprint
Published: 2026
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author Heinlein, Bastian
Jiménez, Nuria Zurita
Zhu, Kaikai
Carkit-Yilmaz, Sümeyye
Schober, Robert
Jamali, Vahid
Schäfer, Maximilian
author_facet Heinlein, Bastian
Jiménez, Nuria Zurita
Zhu, Kaikai
Carkit-Yilmaz, Sümeyye
Schober, Robert
Jamali, Vahid
Schäfer, Maximilian
contents In this paper, we introduce an autoencoder (AE)-based scheme for end-to-end optimization of a multi-user molecule mixture communication system. In the proposed scheme, each transmitter leverages an encoder network that maps the user symbol to a molecule mixture. The mixtures then propagate through the channel to the receiver, which samples the channel using a non-linear, cross-reactive sensor array. A decoder network then estimates the symbol transmitted by each user based on the sensor observations. The proposed scheme achieves, for a given signal-to-noise ratio, lower symbol error rates than a baseline scheme from the literature in a single-user setting with full channel state information. We additionally demonstrate that the proposed AE-based scheme allows reliable communication when the channel is unknown or changing. Finally, we show that for multiple access the system can account for different user priorities. In summary, the proposed AE-based scheme enables end-to-end system optimization in complex scenarios unsuitable for analytical treatment and thereby brings molecular communication systems closer to real-world deployment.
format Preprint
id arxiv_https___arxiv_org_abs_2603_23262
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Autoencoder-based Optimization of Multi-user Molecule Mixture Communication Systems
Heinlein, Bastian
Jiménez, Nuria Zurita
Zhu, Kaikai
Carkit-Yilmaz, Sümeyye
Schober, Robert
Jamali, Vahid
Schäfer, Maximilian
Information Theory
Emerging Technologies
Signal Processing
In this paper, we introduce an autoencoder (AE)-based scheme for end-to-end optimization of a multi-user molecule mixture communication system. In the proposed scheme, each transmitter leverages an encoder network that maps the user symbol to a molecule mixture. The mixtures then propagate through the channel to the receiver, which samples the channel using a non-linear, cross-reactive sensor array. A decoder network then estimates the symbol transmitted by each user based on the sensor observations. The proposed scheme achieves, for a given signal-to-noise ratio, lower symbol error rates than a baseline scheme from the literature in a single-user setting with full channel state information. We additionally demonstrate that the proposed AE-based scheme allows reliable communication when the channel is unknown or changing. Finally, we show that for multiple access the system can account for different user priorities. In summary, the proposed AE-based scheme enables end-to-end system optimization in complex scenarios unsuitable for analytical treatment and thereby brings molecular communication systems closer to real-world deployment.
title Autoencoder-based Optimization of Multi-user Molecule Mixture Communication Systems
topic Information Theory
Emerging Technologies
Signal Processing
url https://arxiv.org/abs/2603.23262