University of Oulu

A. O. Bicen, J. J. Lehtomäki and I. F. Akyildiz, "Shannon Meets Fick on the Microfluidic Channel: Diffusion Limit to Sum Broadcast Capacity for Molecular Communication," in IEEE Transactions on NanoBioscience, vol. 17, no. 1, pp. 88-94, Jan. 2018. doi: 10.1109/TNB.2018.2805766

Shannon meets fick on the microfluidic channel : diffusion limit to sum broadcast capacity for molecular communication

Saved in:
Author: Bicen, A. Ozan1; Lehtomäki, Janne J.2; Akyildiz, Ian F.1
Organizations: 1School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332 USA
2University of Oulu, 90014 Oulu, Finland
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 1.1 MB)
Persistent link:
Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2018-09-04


Molecular communication (MC) over a microfluidic channel with flow is investigated based on Shannon’s channel capacity theorem and Fick’s laws of diffusion. Specifically, the sum capacity for MC between a single transmitter and multiple receivers (broadcast MC) is studied. The transmitter communicates by using different types of signaling molecules with each receiver over the microfluidic channel. The transmitted molecules propagate through microfluidic channel until reaching the corresponding receiver. Although the use of different types of molecules provides orthogonal signaling, the sum broadcast capacity may not scale with the number of the receivers due to physics of the propagation (interplay between convection and diffusion based on distance). In this paper, the performance of broadcast MC on a microfluidic chip is characterized by studying the physical geometry of the microfluidic channel and leveraging the information theory. The convergence of the sum capacity for microfluidic broadcast channel is analytically investigated based on the physical system parameters with respect to the increasing number of molecular receivers. The analysis presented here can be useful to predict the achievable information rate in microfluidic interconnects for the biochemical computation and microfluidic multi-sample assays.

see all

Series: IEEE transactions on nanobioscience
ISSN: 1536-1241
ISSN-E: 1558-2639
ISSN-L: 1536-1241
Volume: 17
Issue: 1
Pages: 88 - 94
DOI: 10.1109/TNB.2018.2805766
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Funding: The work of A. O. Bicen and I. F. Akyildiz was supported by the U.S. National Science Foundation under Grant CNS-1110947.
Copyright information: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.