Literature Database Entry


Daniil Romanchenko, Matis Tartie, Ba Que Le, Jorge Torres Gómez and Falko Dressler, "Molecular Communication Channel Modelling in FPGA Technology," Proceedings of International Conference on Networked Systems (NetSys 2021), Workshop on Nanonetworks and Nanocomputation (WoNaN 2021), Virtual Conference, September 2021.


Molecular communication (MC) is a new paradigm for communication processes with a variety of applications such as health care and industrial sectors. The rapid development of MC, with the support of testbeds and simulators, requires scalable modeling tools. In this paper, we propose a field-programmable gate array (FPGA) design-based approach for the emission, diffusion, and reception of molecules. Results exhibit a close correspondence to state of the art analytical modeling of MC processes.

Quick access

Original Version DOI (at publishers web site)
Authors' Version PDF (PDF on this web site)
BibTeX BibTeX


Daniil Romanchenko
Matis Tartie
Ba Que Le
Jorge Torres Gómez
Falko Dressler

BibTeX reference

    author = {Romanchenko, Daniil and Tartie, Matis and Que Le, Ba and Torres G{\'{o}}mez, Jorge and Dressler, Falko},
    doi = {10.14279/tuj.eceasst.80.1144},
    title = {{Molecular Communication Channel Modelling in FPGA Technology}},
    publisher = {Electronic Communications of the EASST (EASST)},
    issn = {1863-2122},
    address = {Virtual Conference},
    booktitle = {International Conference on Networked Systems (NetSys 2021), Workshop on Nanonetworks and Nanocomputation (WoNaN 2021)},
    month = {9},
    year = {2021},

Copyright notice

Links to final or draft versions of papers are presented here to ensure timely dissemination of scholarly and technical work. Copyright and all rights therein are retained by authors or by other copyright holders. All persons copying this information are expected to adhere to the terms and constraints invoked by each author's copyright. In most cases, these works may not be reposted or distributed for commercial purposes without the explicit permission of the copyright holder.

The following applies to all papers listed above that have IEEE copyrights: Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.

The following applies to all papers listed above that are in submission to IEEE conference/workshop proceedings or journals: This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible.

The following applies to all papers listed above that have ACM copyrights: ACM COPYRIGHT NOTICE. Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, to republish, to post on servers, or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from Publications Dept., ACM, Inc., fax +1 (212) 869-0481, or

The following applies to all SpringerLink papers listed above that have Springer Science+Business Media copyrights: The original publication is available at

This page was automatically generated using BibDB and bib2web.