A CNN Architecture for Learning Device Activity From MMV
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DOI: 10.1109/lcomm.2021.3091841
Abstract: Device activity detection has been extensively investigated for grant-free massive machine-type communications. Instead of using deep Multi-Layer Perception (MLP) networks, this letter proposes a novel convolutional neural network (CNN) architecture for learning device activity from… read more here.
Keywords: architecture learning; device activity; cnn architecture; device ... See more keywords