This $500,000 National Science Foundation project grant supports the development of learning frameworks for nonlinear massive multiple-input multiple-output wireless systems at San Diego State University from September 2022 through August 2027. The grant was awarded by the National Science Foundation Division of Electrical, Communications and Cyber Systems under the Engineering program (CFDA 47.041).
The principal investigator will construct a holistic machine learning approach to estimate, detect, optimize, and adapt signal processing in nonlinear massive MIMO systems. This includes developing model-based and model-free machine learning, deep learning, deep reinforcement learning, and meta-learning frameworks. The project aims to resolve signal distortions from low-cost, non-customized wireless hardware and optimize massive MIMO performance in dynamic environments with unknown nonlinearities. Research outcomes could transform massive MIMO signal processing and integration into educational activities will broaden participation in the field of communications and signal processing.
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