Spatial Diversity in Molecular Communications

Martin Damrath; H. Birkan Yilmaz; Chan-Byoung Chae; Peter Adam Hoeher

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arXiv · 1707.07400

Spatial Diversity in Molecular Communications

Martin Damrath·H. Birkan Yilmaz·Chan-Byoung Chae·Peter Adam Hoeher

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Abstract

In this work, spatial diversity techniques in the area of multiple-input multiple-output (MIMO) diffusion-based molecular communications (DBMC) are investigated. For transmitter-side spatial coding, Alamouti-type coding and repetition MIMO coding are proposed and analyzed. At the receiver-side, selection diversity, equal-gain combining, and maximum-ratio combining are studied as combining strategies. Throughout the numerical analysis, a symmetrical $2\times 2$ MIMO-DBMC system is assumed. Furthermore, a trained artificial neural network is utilized to acquire the channel impulse responses. The numerical analysis demonstrates that it is possible to achieve a diversity gain in molecular communications. In addition, it is shown that for MIMO-DBMC systems repetition MIMO coding is superior to Alamouti-type coding.

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Martin Damrath, H. Birkan Yilmaz, Chan-Byoung Chae, Peter Adam Hoeher. 2017-07-24. Spatial Diversity in Molecular Communications. https://arxiv.org/abs/1707.07400

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