Modeling and Analysis of SiNW FET-Based Molecular Communication Receiver

TL;DR

This paper develops a comprehensive model for SiNW FET-based molecular communication receivers, integrating MC and bioFET processes, and analyzes their noise, SNR, and error probability to improve nanoscale bioelectronic communication systems.

Contribution

It introduces a unified analytical framework for SiNW FET-based MC receivers, including closed-form expressions for key performance metrics, advancing the design of nanoscale bioelectronic communication devices.

Findings

Derived closed-form noise and SNR expressions.

Analyzed the impact of system parameters on detection performance.

Provided insights into optimizing SiNW FET-based MC receivers.

Abstract

Molecular Communication (MC) is a bio-inspired communication method based on the exchange of molecules for information transfer among nanoscale devices. MC has been extensively studied from various aspects in the literature; however, the physical design of MC transceiving units is largely neglected with the assumption that network nodes are entirely biological devices, e.g., engineered bacteria, which are intrinsically capable of receiving and transmitting molecular messages. However, the low information processing capacity of biological devices and the challenge to interface them with macroscale networks hinder the true application potential of nanonetworks. To overcome this problem, recently, we proposed a nanobioelectronic MC receiver architecture exploiting the nanoscale field effect transistor-based biosensor (bioFET) technology, which provides noninvasive and sensitive molecular detection while producing electrical signals as the output. In this paper, we introduce a comprehensive model for silicon nanowire (SiNW) FET-based MC receivers by integrating the underlying processes in MC and bioFET to provide a unified analysis framework. We derive closed-form expressions for noise statistics, signal-to-noise ratio (SNR) at the receiver output, and symbol error probability (SEP). Performance evaluation in terms of SNR and SEP reveals the effects of individual system parameters on the detection performance of the proposed MC receiver.