Strength-based Signal Detection in PAM OOK Concentration-Encoded Molecular Communication

Mohammad Mahfuz

Research Article

Strength-based Signal Detection in PAM OOK Concentration-Encoded Molecular Communication

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@ARTICLE{10.4108/eai.3-12-2015.2262574,
    author={Mohammad Mahfuz},
    title={Strength-based Signal Detection in PAM OOK Concentration-Encoded Molecular Communication},
    journal={EAI Endorsed Transactions on Wireless Spectrum},
    volume={2},
    number={10},
    publisher={ACM},
    journal_a={WS},
    year={2016},
    month={5},
    keywords={molecular communication, concentration-encoding, strength-based detection, pulse transmission, nanonetworks},
    doi={10.4108/eai.3-12-2015.2262574}
}

Mohammad Mahfuz
Year: 2016
Strength-based Signal Detection in PAM OOK Concentration-Encoded Molecular Communication
WS
EAI
DOI: 10.4108/eai.3-12-2015.2262574

Mohammad Mahfuz¹^,*

1: University of Wisconsin-Green Bay

*Contact email: mahfuzm@uwgb.edu

Abstract

In this paper, the expressions of achievable strength-based suboptimum detection probabilities of concentration-encoded molecular communication (CEMC) system have been derived based on pulse-amplitude modulated (PAM) on-off keying (OOK) modulation scheme. Results show that the detection performance of a PAM OOK CEMC system significantly depends on the statistical parameters of diffusion noise and intersymbol interference (ISI). Analytical performances of ISI-free and ISI-affected scenarios have been explained and compared based on receiver operating characteristics (ROC) curves for impulse (i.e. spike)-modulated (IM) and PAM schemes. It is shown that the effects of diffusion noise and ISI on ROC can be explained separately based on their communication range-dependent statistics.

Keywords: molecular communication, concentration-encoding, strength-based detection, pulse transmission, nanonetworks

Published: 2016-05-24
Publisher: ACM

: http://dx.doi.org/10.4108/eai.3-12-2015.2262574

Copyright © 2015 M. Mahfuz, licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/3.0/), which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited.