Over-the-Air Design of GAN Training for mmWave MIMO Channel Estimation. (arXiv:2205.12445v1 [eess.SP])

Future wireless systems are trending towards higher carrier frequencies that
offer larger communication bandwidth but necessitate the use of large antenna
arrays. Existing signal processing techniques for channel estimation do not
scale well to this "high-dimensional" regime in terms of performance and pilot
overhead. Meanwhile, training deep learning based approaches for channel
estimation requires large labeled datasets mapping pilot measurements to clean
channel realizations, which can only be generated offline using simulated
channels. In this paper, we develop a novel …

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