Using Dimensional Analysis to Assess Scalability and Accuracy in Molecular Communication

Abstract

In this paper, we apply dimensional analysis to study a diffusive molecular communication system that uses diffusing enzymes in the propagation environment to mitigate intersymbol interference. The enzymes bind to information molecules and then degrade them so that they cannot interfere with the detection of future transmissions at the receiver. We determine when it is accurate to assume that the concentration of information molecules throughout the receiver is constant and equal to that expected at the center of the receiver. We show that a lower bound on the expected number of molecules observed at the receiver can be arbitrarily scaled over the environmental parameters, and generalize how the accuracy of the lower bound is qualitatively impacted by those parameters.

6 pages, 2 figures, will be presented at the 3rd IEEE International Workshop on Molecular and Nanoscale Communications (MoNaCom 2013) in Budapest, Hungary

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• Optimal Receiver Design for Diffusive Molecular Communication With Flow and Additive Noise
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• A Unifying Model for External Noise Sources and ISI in Diffusive Molecular Communication
• Impact of receiver reaction mechanisms on the performance of molecular communication networks
• Active Versus Passive: Receiver Model Transforms for Diffusive Molecular Communication
• Analysis and Design of Two-Hop Diffusion-Based Molecular Communication Networks
• Diffusive Molecular Communication with Disruptive Flows
• Distributed Cooperative Detection for Multi-Receiver Molecular Communication
• Maximum Likelihood Detection for Cooperative Molecular Communication
• Algorithm for Mesoscopic Advection-Diffusion
• Simplified Cooperative Detection for Multi-Receiver Molecular Communication