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The Hexa-X Project Vision on Artificial Intelligence and Machine Learning-Driven Communication and Computation Co-Design for 6G.

, , , , , , , , , , , , , , , , , , , , , , и . IEEE Access, (2023)

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Hamed Farhadi

Sobhy Abd El Rahiem Hamed

Haris Hamedovi

Alexander Hamedinger

Nasser Hamed

 

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Pervasive Artificial Intelligence in Next Generation Wireless: The Hexa-X Project Perspective., , , , , , , , , и 12 other автор(ы). AI6G@WCCI, том 3189 из CEUR Workshop Proceedings, CEUR-WS.org, (2022)Game theory-based radio resource allocation in NOMA vehicular communication networks supported by UAV., , и . Phys. Commun., (2022)Mobility, traffic and radio channel prediction: 5G and beyond applications., , , , , и . CoRR, (2022)Causality-Aware Channel State Information Encoding., , , , , и . COMSNETS, стр. 617-625. IEEE, (2023)A Model for Electro-Chemical Neural Communication., , и . BODYNETS, том 330 из Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, стр. 137-150. Springer, (2020)Incorporating a machine learning technique to improve open-channel flow computations., , , и . Neural Comput. Appl., 31 (3): 909-921 (2019)Machine learning empowered context-aware receiver for high-band transmission., и . GLOBECOM (Workshops), стр. 1-6. IEEE, (2020)Secure Simultaneous Information and Power Transfer for Downlink Multi-user Massive MIMO., , , и . CoRR, (2020)Next Generation Mobile Networks' Enablers: Machine Learning-Assisted Mobility, Traffic, and Radio Channel Prediction., , , , , и . IEEE Commun. Mag., 61 (10): 94-98 (октября 2023)A Deep Learning Receiver for Non-Linear Transmitter., , и . IEEE Access, (2023)