Statistical Analysis of Time-Variant Channels in Diffusive Mobile Molecular Communications

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Details zur Publikation

Autorinnen und Autoren: Ahmadzadeh A, Jamali Kooshkghazi V, Schober R
Herausgeber: IEEE
Jahr der Veröffentlichung: 2017
ISBN: 978-1-5090-5019-2
Sprache: Englisch


Abstract

In this paper, we consider a diffusive mobile molecular communication (MC) system consisting of a pair of mobile transmitter and receiver nano- machines suspended in a fluid medium, where we model the mobility of the nano-machines 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 introduce a statistical framework for characterization of the impulse response of time-variant MC channels. In particular, we derive closed-form analytical expressions for the mean and the autocorrelation function of the impulse response of the channel. Given the autocorrelation function, we define the coherence time of the time-variant MC channel as a metric that characterizes the variations of the impulse response. Furthermore, we derive an analytical expression for evaluation of the expected error probability of a simple detector for the considered system. In order to investigate the impact of CIR decorrelation over time, we compare the performances of a detector with perfect channel state information (CSI) knowledge and a detector with outdated CSI knowledge. The accuracy of the proposed analytical expression is verified via particle-based simulation of the Brownian motion.


FAU-Autorinnen und Autoren / FAU-Herausgeberinnen und Herausgeber

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


Zitierweisen

APA:
Ahmadzadeh, A., Jamali Kooshkghazi, V., & Schober, R. (2017). Statistical Analysis of Time-Variant Channels in Diffusive Mobile Molecular Communications. In IEEE (Eds.), Proceedings of the GLOBECOM 2017 - 2017 IEEE Global Communications Conference. Singapore, SG.

MLA:
Ahmadzadeh, Arman, Vahid Jamali Kooshkghazi, and Robert Schober. "Statistical Analysis of Time-Variant Channels in Diffusive Mobile Molecular Communications." Proceedings of the GLOBECOM 2017 - 2017 IEEE Global Communications Conference, Singapore Ed. IEEE, 2017.

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Zuletzt aktualisiert 2019-03-09 um 20:10