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

Ahmadzadeh A, Jamali Kooshkghazi V, Schober R (2017)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2017

Event location: Singapore SG

ISBN: 978-1-5090-5019-2

DOI: 10.1109/GLOCOM.2017.8254237

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we compare the performances of a detector with perfect channel state information (CSI) knowledge and a detector with outdated CSI knowledge.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.

Authors with CRIS profile

Arman Ahmadzadeh Lehrstuhl für Digitale Übertragung Vahid Jamali Kooshkghazi Lehrstuhl für Digitale Übertragung Robert Schober Lehrstuhl für Digitale Übertragung

How to cite

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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