Stable distributions as noise models for molecular communication

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

23 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 languageEnglish
Title of host publication2015 IEEE Global Communications Conference, GLOBECOM 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959525
DOIs
Publication statusPublished - 2015 Jan 1
Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
Duration: 2015 Dec 62015 Dec 10

Publication series

Name2015 IEEE Global Communications Conference, GLOBECOM 2015

Other

Other58th IEEE Global Communications Conference, GLOBECOM 2015
CountryUnited States
CitySan Diego
Period15/12/615/12/10

Fingerprint

Modulation
Probability density function
communication
Communication
Additive noise
Gaussian distribution
evaluation
time

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering
  • Communication

Cite this

Farsad, N., Guo, W., Chae, C-B., & 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.. https://doi.org/10.1109/GLOCOM.2014.7417583
Farsad, Nariman ; Guo, Weisi ; Chae, Chan-Byoung ; Eckford, Andrew. / Stable distributions as noise models for molecular communication. 2015 IEEE Global Communications Conference, GLOBECOM 2015. Institute of Electrical and Electronics Engineers Inc., 2015. (2015 IEEE Global Communications Conference, GLOBECOM 2015).
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Farsad, N, Guo, W, Chae, C-B & 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; Eckford, Andrew.

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 proceedingConference contribution

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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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Farsad N, Guo W, Chae C-B, Eckford A. Stable distributions as noise models for molecular communication. In 2015 IEEE Global Communications Conference, GLOBECOM 2015. Institute of Electrical and Electronics Engineers Inc. 2015. 7417583. (2015 IEEE Global Communications Conference, GLOBECOM 2015). https://doi.org/10.1109/GLOCOM.2014.7417583