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Spatial Diversity in Molecular Communications

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arxiv 1707.07400 v1 pith:QV76VGVL submitted 2017-07-24 cs.ET cs.ITmath.IT

classification cs.ETcs.ITmath.IT
keywords codingdiversitycombiningcommunicationsmimomolecularspatialalamouti-type
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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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  1. Multiple-type Transmission Multiple-type Reception Framework on Molecular Communication

    eess.SP 2019-08 conditional novelty 5.0 of 10

    A MIMO molecular communication framework using multiple molecule types to eliminate inter-link interference, with optimized drug dosage allocation to minimize bit error rate.

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