Signal detection for molecular communication: model-based vs. data-driven methods

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dc.contributor.authorHuang, Yu
dc.contributor.authorJi, Fei
dc.contributor.authorWei, Zhuangkun
dc.contributor.authorWen, Miaowen
dc.date.accessioned2021-06-18T08:50:48Z
dc.date.available2021-06-18T08:50:48Z
dc.date.issued2021-06-03
dc.description.abstractMulti-scale molecular communication (MC) employs the characteristics of information molecules for information exchange. The received signal in MC inevitably encounters severe inter-symbol interference and signal-dependent noise due to the stochastic diffusion mechanism. Focusing on the critical signal detection in MC, first this article reviews the commonly used mod-el-based detectors and exposes their limitations in practical implementation. Then the emerging data-driven detectors that can make up for some deficiencies of the model-based detectors are presented. Despite the black-box nature of the data-driven detectors, the explainable artificial intelligence can be further investigated for the performance improvement of transparency and trust. Finally, some open research issues and future research directions in receiver design are discussed.en_UK
dc.identifier.citationHuang Y, Ji F, Wei Z, Wen M, Guo W. (2021) Signal detection for molecular communication: model-based vs. data-driven methods. IEEE Communications Magazine, Volume 59, Issue 5, pp. 47-53en_UK
dc.identifier.issn0163-6804
dc.identifier.urihttps://doi.org/10.1109/MCOM.001.2000957
dc.identifier.urihttps://dspace.lib.cranfield.ac.uk/handle/1826/16785
dc.language.isoenen_UK
dc.publisherIEEEen_UK
dc.rightsAttribution-NonCommercial 4.0 International*
dc.rights.urihttp://creativecommons.org/licenses/by-nc/4.0/*
dc.subjectComputational modelingen_UK
dc.subjectBiological system modelingen_UK
dc.subjectMIMICsen_UK
dc.subjectStochastic processesen_UK
dc.subjectDetectorsen_UK
dc.subjectReceiversen_UK
dc.subjectInterferenceen_UK
dc.titleSignal detection for molecular communication: model-based vs. data-driven methodsen_UK
dc.typeArticleen_UK

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