Ahmadzadeh A, Jamali Kooshkghazi V, Schober R (2017)
Publication Language: English
Publication Type: Conference contribution
Publication year: 2017
ISBN: 978-1-5090-5019-2
DOI: 10.1109/GLOCOM.2017.8254237
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we compare the performances of a detector with perfect channel state information (CSI) knowledge and a detector with outdated CSI knowledge.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.
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.
BibTeX: Download