Abstract: This paper proposes a variational Bayesian learning framework for the end-to-end design of frequency-division duplex (FDD) massive Multiple Input Multiple Output (MIMO) communication systems ...
Abstract: Deep learning is promising to enhance the accuracy and reduce the overhead of channel state information (CSI) feedback, which can boost the capacity of frequency division duplex (FDD) ...
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