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A Carrier-Frequency-Offset Resilient OFDMA Receiver Designed Through Machine Deep Learning.

, , , , and . PIMRC, page 1-6. IEEE, (2018)

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A Modular Neural Network Based Deep Learning Approach for MIMO Signal Detection., , , and . CoRR, (2020)On the Design of Quantization Functions for Uplink Massive MIMO with Low-Resolution ADCs., , , , and . VTC Spring, page 1-5. IEEE, (2021)An Orthogonal-SGD Based Learning Approach for MIMO Detection under Multiple Channel Models., , and . ICC Workshops, page 1-6. IEEE, (2020)On Deep Learning Solutions for Joint Transmitter and Noncoherent Receiver Design in MU-MIMO Systems., , , and . PIMRC, page 1-6. IEEE, (2020)Unsupervised Deep Learning for Blind Multiuser Frequency Synchronization in OFDMA Uplink., , , , , and . ICC, page 1-6. IEEE, (2019)Unsupervised Deep Learning for MU-SIMO Joint Transmitter and Noncoherent Receiver Design., , , and . IEEE Wirel. Commun. Lett., 8 (1): 177-180 (2019)Active Sensing for Beam Management: A Deep-Learning Approach., , , , and . WCNC, page 1-6. IEEE, (2023)Parallel Decoding for Non-recursive Convolutional Codes and Its Enhancement Through Artificial Neural Networks., , , , , and . SPAWC, page 1-5. IEEE, (2019)On Unsupervised Deep Learning Solutions for Coherent MU-SIMO Detection in Fading Channels., , , , and . ICC, page 1-6. IEEE, (2019)End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels., , and . CoRR, (2021)