Channel estimation techniques for diffusion-based molecular communications

Jamali Kooshkghazi V, Ahmadzadeh A, Jardin C, Sticht H, Schober R (2016)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2016

Event location: Kuala Lumpur

ISBN: 978-1-4799-6664-6

DOI: 10.1109/ICC.2016.7511496

Abstract

In molecular communication (MC) systems, the expected number of molecules observed at the receiver over time after the instantaneous release of molecules by the transmitter is referred to as the channel impulse response (CIR). Knowledge of the CIR is needed for the design of detection and equalization schemes. In this paper, we present a training-based CIR estimation framework for MC systems which aims at estimating the CIR based on the observed number of molecules at the receiver due to emission of a sequence of known numbers of molecules by the transmitter. In particular, we derive maximum likelihood (ML) and least sum of square errors (LSSE) estimators. We also study the Cramer Rao (CR) lower bound and training sequence design for the considered system. Simulation results confirm the analysis and compare the performance of the proposed estimation techniques with the CR lower bound.

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How to cite

APA:

Jamali Kooshkghazi, V., Ahmadzadeh, A., Jardin, C., Sticht, H., & Schober, R. (2016). Channel estimation techniques for diffusion-based molecular communications. In IEEE (Eds.), Proceedings of the 2016 IEEE International Conference on Communications (ICC). Kuala Lumpur, MY.

MLA:

Jamali Kooshkghazi, Vahid, et al. "Channel estimation techniques for diffusion-based molecular communications." Proceedings of the 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur Ed. IEEE, 2016.

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