End-to-End Learning for Time-Varying Non-Binary Molecular Communications

Roya Khanzadeh; Stefan Angerbauer; Andreas Springer; Werner Haselmayr

doi:10.1109/ICMLCN64995.2025.11140116

End-to-End Learning for Time-Varying Non-Binary Molecular Communications

Roya Khanzadeh^*
, Stefan Angerbauer
, Andreas Springer
, Werner Haselmayr

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025
Publisher	Institute of Electrical and Electronics Engineers Inc.
Number of pages	6
Edition	1
ISBN (Electronic)	9798331520427
DOIs	https://doi.org/10.1109/ICMLCN64995.2025.11140116
Publication status	Published - 03 Sept 2025
Event	2nd IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025 - Barcelona, Spain Duration: 26 May 2025 → 29 May 2025

Publication series

Name	2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025

Conference

Conference	2nd IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025
Country/Territory	Spain
City	Barcelona
Period	26.05.2025 → 29.05.2025

Fields of science

202 Electrical Engineering, Electronics, Information Engineering
202038 Telecommunications
202037 Signal processing
202030 Communication engineering

JKU Focus areas

Digital Transformation

Access to Document

10.1109/ICMLCN64995.2025.11140116

Cite this

Khanzadeh, R., Angerbauer, S., Springer, A., & Haselmayr, W. (2025). End-to-End Learning for Time-Varying Non-Binary Molecular Communications. In 2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025 (1 ed.). (2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICMLCN64995.2025.11140116

Khanzadeh, Roya ; Angerbauer, Stefan ; Springer, Andreas et al. / End-to-End Learning for Time-Varying Non-Binary Molecular Communications. 2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025. 1. ed. Institute of Electrical and Electronics Engineers Inc., 2025. (2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025).

@inproceedings{2908518fce4a4781bd437139cbccb6a8,

title = "End-to-End Learning for Time-Varying Non-Binary Molecular Communications",

keywords = "Autoencoder, End-to-end learning, Internet of bio-nano things, Molecular communication",

author = "Roya Khanzadeh and Stefan Angerbauer and Andreas Springer and Werner Haselmayr",

note = "Publisher Copyright: {\textcopyright} 2025 IEEE.; 2nd IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025 ; Conference date: 26-05-2025 Through 29-05-2025",

year = "2025",

month = sep,

day = "3",

doi = "10.1109/ICMLCN64995.2025.11140116",

language = "English",

series = "2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025",

edition = "1",

}

Khanzadeh, R , Angerbauer, S , Springer, A & Haselmayr, W 2025, End-to-End Learning for Time-Varying Non-Binary Molecular Communications. in 2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025. 1 edn, 2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025, Institute of Electrical and Electronics Engineers Inc., 2nd IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025, Barcelona, Spain, 26.05.2025. https://doi.org/10.1109/ICMLCN64995.2025.11140116

End-to-End Learning for Time-Varying Non-Binary Molecular Communications. / Khanzadeh, Roya ; Angerbauer, Stefan ; Springer, Andreas et al.
2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025. 1. ed. Institute of Electrical and Electronics Engineers Inc., 2025. (2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025).

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

T1 - End-to-End Learning for Time-Varying Non-Binary Molecular Communications

AU - Khanzadeh, Roya

AU - Angerbauer, Stefan

AU - Springer, Andreas

AU - Haselmayr, Werner

PY - 2025/9/3

Y1 - 2025/9/3

KW - Autoencoder

KW - End-to-end learning

KW - Internet of bio-nano things

KW - Molecular communication

UR - https://www.scopus.com/pages/publications/105016780879

U2 - 10.1109/ICMLCN64995.2025.11140116

DO - 10.1109/ICMLCN64995.2025.11140116

M3 - Conference proceedings

AN - SCOPUS:105016780879

T3 - 2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025

BT - 2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2nd IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025

Y2 - 26 May 2025 through 29 May 2025

ER -

Khanzadeh R , Angerbauer S , Springer A , Haselmayr W. End-to-End Learning for Time-Varying Non-Binary Molecular Communications. In 2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025. 1 ed. Institute of Electrical and Electronics Engineers Inc. 2025. (2025 IEEE International Conference on Machine Learning for Communication and Networking, ICMLCN 2025). doi: 10.1109/ICMLCN64995.2025.11140116

End-to-End Learning for Time-Varying Non-Binary Molecular Communications

Publication series

Conference

Fields of science

JKU Focus areas

Access to Document

Other files and links

JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab)

Synthetic Molecular Communications

Cite this

End-to-End Learning for Time-Varying Non-Binary Molecular Communications

Publication series

Conference

Fields of science

JKU Focus areas

Access to Document

Other files and links

Projects

JKU LIT - SAL Intelligent Wireless Systems Lab (IWS Lab)

Synthetic Molecular Communications

Cite this