Learning from Data in Radio Algorithm Design
Algorithm design methods for radio communications systems are poised to undergo a massive disruption over the next several years. Today, such algorithms are typically designed manually using compact analytic problem models. However, they are shifting increasingly to machine learning based methods u...
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Virginia Tech
2019
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| Online Access: | http://hdl.handle.net/10919/89649 |