Demonstrating Interoperable Channel State Feedback Compression with Machine Learning

Dani Korpi, Rachel Wang, Jerry Wang +20

Neural network-based compression and decompression of channel state feedback has been one of the most widely studied applications of machine learning (ML) in wireless networks. Var…