Channel Transfer Function Estimation of a Molecular-Electrical Communication Based on Redox

Karthik Reddy Gorla, Massimiliano Pierobon

Abstract: The fusion of biological systems with electronic interfaces heralds a transformative era in the Internet of Bio-Nano Things (IoBNT), unlocking disruptive applications based on a network of biological and electrical nanoscale-based devices, especially within the human body. With recent advances in the field of Molecular Communication (MC), the propagation of information across interfaces that bridge biological and electrical domains can be modeled and characterized. Based on a pioneering proof-of-concept prototype that facilitates communication between biological entities and electrical circuits via redox chemical reactions, we describe the modeling of the interface as a molecular-electrical communication channel using the underlying diffusion and electrochemical principles. Using the linearity property within the analytical model, an empirical frequency analysis methodology is employed to extract the channel transfer function and the noise power spectral density through a simulation framework developed in MATLAB. In addition, we explore the behavior of the channel by varying a system design parameter, namely the length. Although preliminary, the combination of theoretical modeling, empirical analysis, and system design considerations informs a comprehensive framework for understanding and optimizing communication interfaces that are equipped to navigate the intricate landscape of the IoBNT paradigm.

External IDs:doi:10.1007/978-3-031-72524-1_12