Stochastic Channel Modeling for Diffusive Mobile Molecular Communication Systems

Beitrag in einer Fachzeitschrift


Details zur Publikation

Autorinnen und Autoren: Ahmadzadeh A, Jamali Kooshkghazi V, Schober R
Zeitschrift: IEEE Transactions on Communications
Jahr der Veröffentlichung: 2018
Band: 66
Heftnummer: 12
Seitenbereich: 205 - 6220
ISSN: 0090-6778
Sprache: Englisch


Abstract

In this paper, we consider mobile molecular communication (MC) systems which are expected to find application in several fields including targeted drug delivery and health monitoring. We develop a mathematical framework for modeling the time-variant stochastic channels of diffusive mobile MC systems. In particular, we consider a diffusive mobile MC system consisting of a pair of transmitter and receiver nano-machines suspended in a fluid medium with a uniform bulk flow, where we assume that either the transmitter or the receiver or both are mobile, and we model the mobility by Brownian motion. The transmitter and receiver nano-machines exchange information via diffusive signaling molecules. Due to the random movements of the transmitter and receiver nano-machines, the statistics of the channel impulse response (CIR) change over time. We derive closed-form expressions for the mean, the autocorrelation function (ACF), the cumulative distribution function (CDF), and the probability density function (PDF) of the time-variant CIR. Exploiting the ACF, we define the coherence time of the time-variant MC channel as a metric for characterization of the variations of the CIR. The derived CDF is employed for calculation of the outage probability of the system. We also show that under certain conditions, the PDF of the CIR can be accurately approximated by a Log-normal distribution. Based on this approximation, we derive a simple model for outdated channel state information (CSI). Moreover, we derive an analytical expression for the evaluation of the expected error probability of a simple detector for the considered MC system. In order to investigate the impact of CIR decorrelation over time, we compare the performances of a detector with perfect CSI knowledge and a detector with outdated CSI knowledge. The accuracy of the proposed analytical expressions is verified via particle-based simulation of the Brownian motion.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

Ahmadzadeh, Arman
Lehrstuhl für Digitale Übertragung
Jamali Kooshkghazi, Vahid Dr.-Ing.
Lehrstuhl für Digitale Übertragung
Schober, Robert Prof. Dr.-Ing.
Lehrstuhl für Digitale Übertragung


Zitierweisen

APA:
Ahmadzadeh, A., Jamali Kooshkghazi, V., & Schober, R. (2018). Stochastic Channel Modeling for Diffusive Mobile Molecular Communication Systems. IEEE Transactions on Communications, 66(12), 205 - 6220. https://dx.doi.org/10.1109/TCOMM.2018.2854577

MLA:
Ahmadzadeh, Arman, Vahid Jamali Kooshkghazi, and Robert Schober. "Stochastic Channel Modeling for Diffusive Mobile Molecular Communication Systems." IEEE Transactions on Communications 66.12 (2018): 205 - 6220.

BibTeX: 

Zuletzt aktualisiert 2019-10-08 um 15:10