Signal Detection for Molecular Communication: Model-Based vs. Data-Driven Methods
نویسندگان
چکیده
Multi-scale molecular communication (MC) employs the characteristics of information molecules for exchange. The received signal in MC inevitably encounters severe inter-symbol interference and signal-dependent noise due to stochastic diffusion mechanism. Focusing on critical detection MC, first this article reviews commonly used model-based detectors exposes their limitations practical implementation. Then emerging data-driven that can make up some deficiencies are presented. Despite black-box nature detectors, explainable artificial intelligence be further investigated performance improvement transparency trust. Finally, open research issues future directions receiver design discussed.
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ژورنال
عنوان ژورنال: IEEE Communications Magazine
سال: 2021
ISSN: ['0163-6804', '1558-1896']
DOI: https://doi.org/10.1109/mcom.001.2000957