Paper Info
Title
Molecular Communication in H-Diffusion
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, Erdélyi-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 distribution, 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.
Year
DOI
Venue
2020
10.1109/TCOMM.2020.2982149
IEEE Transactions on Communications
Keywords
DocType
Volume
Anomalous diffusion,bit error rate,Fox’s H-function,H-transform,noise power,molecular communication,molecular noise,subordinated process,symbol error probability
Journal
68
Issue
ISSN
Citations 
7
0090-6778
1
PageRank 
References 
Authors
0.36
0
4
Name
Order
Citations
PageRank
Dung Phuong Trinh173.74
Youngmin Jeong210711.64
Hyundong Shin32069126.33
Moe Z. Win42225196.12