Molecular Communication in H-Diffusion

TL;DR

This paper introduces H-diffusion as a comprehensive model for anomalous molecular diffusion in fluid media, providing new insights into the statistical properties and error analysis of molecular communication systems.

Contribution

It develops a unified H-diffusion framework to model various anomalous diffusion behaviors and characterizes the associated molecular noise for communication analysis.

Findings

H-diffusion models non-Fickian molecular propagation.

Introduction of H-noise with algebraic tail properties.

Framework for error probability analysis in molecular communication.

Abstract

The random propagation of molecules in a fluid medium is characterized by the spontaneous diffusion law as well as the interaction between the environment and molecules. In this paper, we embody the anomalous diffusion theory for modeling and analysis in molecular communication. We employ H-diffusion to model a non-Fickian behavior of molecules in diffusive channels. H-diffusion enables us to model anomalous diffusion as the subordinate relationship between self-similar parent and directing processes and their corresponding probability density functions with two H-variates in a unified fashion. In addition, we introduce standard H-diffusion to make a bridge of normal diffusion across well-known anomalous diffusions such as space-time fractional diffusion, Erdelyi-Kober fractional diffusion, grey Brownian motion, fractional Brownian motion, and Brownian motion. We then characterize the statistical properties of uncertainty of the random propagation time of a molecule governed by H-diffusion laws by introducing a general class of molecular noise---called H-noise. Since H-noise can be an algebraic tailed process, we provide a concept of H-noise power using finite logarithm moments based on zero-order statistics. Finally, we develop a unifying framework for error probability analysis in a timing-based molecular communication system with a concept of signal-to-noise power ratio.