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Deep Learning for the Degraded Broadcast Channel

By Erik Stauffer and others
Machine learning has shown promising results for communications system problems. We present results on the use of deep auto-encoders in order to learn a transceiver for the multiuser degraded broadcast channel, and see that the auto encoder is able to learn to communicate on this channel using superposition coding. Additionally,... Show more
March 18, 2019
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Deep Learning for the Degraded Broadcast Channel
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