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Fixed pilot sequences can overstate the gains of learned MIMO-OFDM receivers under power amplifier distortion
Neural-network receivers are proposed to undo the distortion of a power amplifier driven close to saturation, where it is most efficient. They estimate the channel from pilots, known symbols sent in every frame. The pilots pass through the same amplifier as the data, so the channel estimate carries
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