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Learned Pulse Shaping Design for PAPR Reduction in DFT-s-OFDM
High peak-to-average power ratio (PAPR) is one of the main factors limiting cell coverage for cellular systems, especially in the uplink direction.
Deep Learning with Persistent Homology for Orbital Angular Momentum (OAM) Decoding
To maintain lower error rate in presence of severe atmospheric turbulence, a new approach that combines effective machine learning tools from persistent homology and convolutional neural networks (CNNs) is proposed to decode the OAM modes.
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