Active Sensing Framework for Reciprocal MIMO Channels

The author proposes a learning-based active sensing framework to optimize transmit precoder and receive combiner matrices in massive MIMO systems, outperforming traditional methods by leveraging neural networks for efficient channel estimation and beamforming.