Signal Detection for Molecular Communication: Model-Based vs. Data-Driven Methods

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.