Intelligent open-set MIMO recognition in OWC using a Siamese neural network

Multiple-input multiple-output (MIMO) technology, a core component of 6G, has been widely adopted in optical wireless communication (OWC) systems. Accurate recognition of different MIMO types is essential for MIMO selection and demodulation. In this Letter, we propose an open-set MIMO recognition method for OWC systems using a Siamese neural network (SNN). Simulation results show that the SNN significantly outperforms other recognition approaches, including convolutional neural networks (CNNs) and traditional machine learning techniques. For SNN-based recognition, over 90% accuracy is achieved with training based on only nine fixed sampling points in both 2 × 2 and 4 × 4 MIMO-OWC systems.