Two years ago, Illinois Computer Science professors Deepak Vasisht and Gagandeep Singh along with first-year PhD student Zikun Liu began collaborating to solve a critical bottleneck hindering the performance of 5G/6G wireless systems. Concretely, they focused on MIMO – or multiple-input and multiple-output – which is a method for multiplying the capacity of a radio link using multiple transmission and receiving antennas to exploit multipath propagation. MIMO is an essential component for 5G, because of its ability to improve the quality of service and support multiple data streams simultaneously. However, for real-world MIMO deployments, there remains a critical bottleneck – estimating the downlink wireless channel from each antenna on the base station to every client device.