The development of a biocompatible testbed for molecular communication with magnetic nanoparticles

M Bartunik, G Fischer, J Kirchner - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Although the concept of engineered molecular communication has been around for quite
some time, practical approaches with truly biocompatible setups are still scarce. However …

Artificial intelligence for molecular communication

M Bartunik, J Kirchner, O Keszocze - it-Information Technology, 2023 - degruyter.com
Molecular communication is a novel approach for data transmission between miniaturised
devices, especially in contexts where electrical signals are to be avoided. The …

Channel Parameter Studies of a Molecular Communication Testbed With Biocompatible Information Carriers: Methods and Data

M Bartunik, J Teller, G Fischer… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Testbeds play an essential role in the development of real-life molecular communication
applications and experimental validation of communication channel models. Although some …

Planar coils for detection of magnetic nanoparticles in a testbed for molecular communication

M Bartunik, S Faghih-Naini, T Maiwald… - Proceedings of the 9th …, 2022 - dl.acm.org
Testbeds enable experimental investigation of molecular communication concepts and
transmission schemes. One approach to biocompatible molecular communication …

Deep Learning-Based FM Demodulation in Complex Electromagnetic Environment

S Zheng, Z Pei, T Chen, J Chen, W Lu… - IEEE Open Journal of …, 2024 - ieeexplore.ieee.org
In recent years, deep learning has been applied widely in the field of communication. In this
paper, a deep learning-based frequency modulation (FM) demodulation method is proposed …

[HTML][HTML] Molecular communication data augmentation and deep learning based detection

D Scazzoli, F Vakilipoor, M Magarini - Nano Communication Networks, 2024 - Elsevier
This manuscript presents a novel model for generating synthetic data for a biological
molecular communication (MC) system to train a Neural Network (NN) for the purpose of …

Classification of Diffusion Constants of Transmitter and Receiver and Distance Between Them Using Mobile Molecular Communication via Diffusion Model

MB Er, I Isik, U Kuran, E Isik - Arabian Journal for Science and Engineering, 2024 - Springer
Molecular communication (MC) holds promise for enabling communication in scenarios
where traditional wireless methods may be impractical or ineffective, offering unique …

Explainable Asymmetric Auto-Encoder for End-to-End Learning of IoBNT Communications

R Khanzadeh, S Angerbauer, JT Gomez… - 2024 IEEE …, 2024 - ieeexplore.ieee.org
The Internet of Bio-Nano Things (IoBNT) is envisioned to be a heterogeneous network of
artificial and natural units that are connected to the Internet. Hence, it extends the …

Estimating channel coefficients for complex topologies in 3D diffusion channel using artificial neural networks

HU Ozdemir, HI Orhan, M Turan, B Büyüktaş… - Nano Communication …, 2024 - Elsevier
Molecular communication via diffusion (MCvD) is one of the paradigms in nanonetworks.
Finding an approximation or analytical solution for the fraction of the received molecules to …

Synchronisation and Detection in Molecular Communication using a Deep-Learning-based Approach

D Casaleiro, NMB Souto, JC Silva - IEEE Access, 2024 - ieeexplore.ieee.org
The concept of Internet of Bio-Nano Things (IoBNT) has emerged due to its revolutionary
possibilities that transcend traditional wireless communication systems. Molecular …