This Project Grant award from the National Science Foundation's Division of Computer and Network Systems, under the CFDA Program 47.070 "Computer and Information Science and Engineering", provides $300,000 in funding to Wayne State University from October 1, 2023 to September 30, 2026.
The project aims to facilitate the transition from traditional black-box network designs to a white-box network architecture, which will significantly reduce costs and enhance quality-of-experience performance in next-generation wireless networks. Key aspects include developing a data-driven Bayesian optimization framework integrated with the O-RAN open architecture, achieving collaborative Bayesian optimization for multi-RAN learning and optimization, and applying the frameworks to edge-assisted low-latency augmented reality applications. The research will contribute to advancing knowledge in machine learning-enabled next-generation wireless systems design, and address critical needs within the broader machine learning and networking research communities.
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