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The Emergence of Wireless MAC Protocols with Multi-Agent Reinforcement Learning.

, , , and . GLOBECOM (Workshops), page 1-6. IEEE, (2021)

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Machine Learning for MU-MIMO Receive Processing in OFDM Systems., , , and . CoRR, (2020)Towards a 6G AI-Native Air Interface., , , and . CoRR, (2020)Towards Hardware Implementation of Neural Network-based Communication Algorithms., and . SPAWC, page 1-5. IEEE, (2019)On deep learning-based channel decoding., , , and . CISS, page 1-6. IEEE, (2017)Massive MIMO and small cells: How to densify heterogeneous networks., , , and . ICC, page 5442-5447. IEEE, (2013)Transmitter Classification with Supervised Deep Learning., , , , and . CrownCom, volume 291 of Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, page 73-86. Springer, (2019)Machine Learning-enhanced Receive Processing for MU-MIMO OFDM Systems., , , and . SPAWC, page 246-250. IEEE, (2021)SubSRNN: Tailored Neural Network for Channel Estimation with Robustness against Diversities., , , and . GLOBECOM, page 1-6. IEEE, (2021)Deep Learning-Based Synchronization for Uplink NB-IoT., , , , and . GLOBECOM, page 1478-1483. IEEE, (2022)Joint Channel Estimation and Hybrid Beamforming via Deep-Unfolding., , , , , and . EUSIPCO, page 658-662. IEEE, (2022)