Stable distributions as noise models for molecular communication

Nariman Farsad; Weisi Guo; Chan Byoung Chae; Andrew Eckford

doi:10.1109/GLOCOM.2014.7417583

Stable distributions as noise models for molecular communication

Nariman Farsad, Weisi Guo, Chan Byoung Chae, Andrew Eckford

School of Integrated Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

48 Citations (Scopus)

Abstract

In this work, we consider diffusion-based molecular communication timing channels. Three different timing channels are presented based on three different modulation techniques, i.e., i) modulation of the release timing of the information particles, ii) modulation on the time between two consecutive information particles of the same type, and iii) modulation on the time between two consecutive information particles of different types. We show that each channel can be represented as an additive noise channel, where the noise follows one of the subclasses of stable distributions. We provide expressions for the probability density function of the noise terms, and numerical evaluations for the probability density function and cumulative density function. We also show that the tails are longer than Gaussian distribution, as expected.

Original language	English
Title of host publication	2015 IEEE Global Communications Conference, GLOBECOM 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781479959525
DOIs	https://doi.org/10.1109/GLOCOM.2014.7417583
Publication status	Published - 2015
Event	58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States Duration: 2015 Dec 6 → 2015 Dec 10

Publication series

Name	2015 IEEE Global Communications Conference, GLOBECOM 2015

Other

Other	58th IEEE Global Communications Conference, GLOBECOM 2015
Country/Territory	United States
City	San Diego
Period	15/12/6 → 15/12/10

Bibliographical note

Publisher Copyright:
© 2015 IEEE.

All Science Journal Classification (ASJC) codes

Computer Networks and Communications
Electrical and Electronic Engineering
Communication

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10.1109/GLOCOM.2014.7417583

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@inproceedings{328b62aaf6494d55b96cbfd689625848,

title = "Stable distributions as noise models for molecular communication",

abstract = "In this work, we consider diffusion-based molecular communication timing channels. Three different timing channels are presented based on three different modulation techniques, i.e., i) modulation of the release timing of the information particles, ii) modulation on the time between two consecutive information particles of the same type, and iii) modulation on the time between two consecutive information particles of different types. We show that each channel can be represented as an additive noise channel, where the noise follows one of the subclasses of stable distributions. We provide expressions for the probability density function of the noise terms, and numerical evaluations for the probability density function and cumulative density function. We also show that the tails are longer than Gaussian distribution, as expected.",

author = "Nariman Farsad and Weisi Guo and Chae, {Chan Byoung} and Andrew Eckford",

note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 58th IEEE Global Communications Conference, GLOBECOM 2015 ; Conference date: 06-12-2015 Through 10-12-2015",

year = "2015",

doi = "10.1109/GLOCOM.2014.7417583",

language = "English",

series = "2015 IEEE Global Communications Conference, GLOBECOM 2015",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2015 IEEE Global Communications Conference, GLOBECOM 2015",

address = "United States",

}

Farsad, N, Guo, W, Chae, CB & Eckford, A 2015, Stable distributions as noise models for molecular communication. in 2015 IEEE Global Communications Conference, GLOBECOM 2015., 7417583, 2015 IEEE Global Communications Conference, GLOBECOM 2015, Institute of Electrical and Electronics Engineers Inc., 58th IEEE Global Communications Conference, GLOBECOM 2015, San Diego, United States, 15/12/6. https://doi.org/10.1109/GLOCOM.2014.7417583

Stable distributions as noise models for molecular communication. / Farsad, Nariman; Guo, Weisi; Chae, Chan Byoung et al.
2015 IEEE Global Communications Conference, GLOBECOM 2015. Institute of Electrical and Electronics Engineers Inc., 2015. 7417583 (2015 IEEE Global Communications Conference, GLOBECOM 2015).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Stable distributions as noise models for molecular communication

AU - Farsad, Nariman

AU - Guo, Weisi

AU - Chae, Chan Byoung

AU - Eckford, Andrew

PY - 2015

Y1 - 2015

N2 - In this work, we consider diffusion-based molecular communication timing channels. Three different timing channels are presented based on three different modulation techniques, i.e., i) modulation of the release timing of the information particles, ii) modulation on the time between two consecutive information particles of the same type, and iii) modulation on the time between two consecutive information particles of different types. We show that each channel can be represented as an additive noise channel, where the noise follows one of the subclasses of stable distributions. We provide expressions for the probability density function of the noise terms, and numerical evaluations for the probability density function and cumulative density function. We also show that the tails are longer than Gaussian distribution, as expected.

AB - In this work, we consider diffusion-based molecular communication timing channels. Three different timing channels are presented based on three different modulation techniques, i.e., i) modulation of the release timing of the information particles, ii) modulation on the time between two consecutive information particles of the same type, and iii) modulation on the time between two consecutive information particles of different types. We show that each channel can be represented as an additive noise channel, where the noise follows one of the subclasses of stable distributions. We provide expressions for the probability density function of the noise terms, and numerical evaluations for the probability density function and cumulative density function. We also show that the tails are longer than Gaussian distribution, as expected.

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DO - 10.1109/GLOCOM.2014.7417583

M3 - Conference contribution

AN - SCOPUS:84964822416

T3 - 2015 IEEE Global Communications Conference, GLOBECOM 2015

BT - 2015 IEEE Global Communications Conference, GLOBECOM 2015

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 58th IEEE Global Communications Conference, GLOBECOM 2015

Y2 - 6 December 2015 through 10 December 2015

ER -

Stable distributions as noise models for molecular communication

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