  This paper proposes the use of deep autoencoders to compress the channel
information in a multiple input and multiple output (MIMO) system. Although
autoencoders perform lossy compression, they still have adequate usefulness
when applied to MIMO system channel state information (CSI) compression. To
demonstrate their impact on the CSI, we measure the performance of the system
under two different channel models for different compression ratios. We show
through simulation that the run-time complexity of this deep autoencoder is
irrelative to the compression ratio and that useful compression ratios depend
on the channel model and the signal to noise ratio.
