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Multimodality in mmWave MIMO Beam Selection Using Deep Learning: Datasets and Challenges.

, , , and . IEEE Commun. Mag., 60 (11): 36-41 (2022)

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Multiverse at the Edge: Interacting Real World and Digital Twins for Wireless Beamforming., , , , , , and . CoRR, (2023)Going Beyond RF: How AI-enabled Multimodal Beamforming will Shape the NextG Standard., , , , , , , , , and . CoRR, (2022)RF Fingerprinting Unmanned Aerial Vehicles With Non-Standard Transmitter Waveforms., , , , , and . IEEE Trans. Veh. Technol., 69 (12): 15518-15531 (2020)FLASH: Federated Learning for Automated Selection of High-band mmWave Sectors., , , and . INFOCOM, page 1719-1728. IEEE, (2022)Communication-Aware DNN Pruning., , , , , and . INFOCOM, page 1-10. IEEE, (2023)Machine Learning on Camera Images for Fast mmWave Beamforming., , , , , and . MASS, page 338-346. IEEE, (2020)Going beyond RF: A survey on how AI-enabled multimodal beamforming will shape the NextG standard., , , , , , , , and . Comput. Networks, (June 2023)Multimodality in mmWave MIMO Beam Selection Using Deep Learning: Datasets and Challenges., , , and . IEEE Commun. Mag., 60 (11): 36-41 (2022)Machine Learning on Camera Images for Fast mmWave Beamforming., , , , , and . CoRR, (2021)Deep Learning on Multimodal Sensor Data at the Wireless Edge for Vehicular Network., , , , , , , and . CoRR, (2022)