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1دورية أكاديميةImplementation of Deep-Learning-Based CSI Feedback Reporting on 5G NR-Compliant Link-Level Simulator
المؤلفون: Daniel Gaetano Riviello, Riccardo Tuninato, Elisa Zimaglia, Roberto Fantini, Roberto Garello
المصدر: Sensors, Vol 23, Iss 2, p 910 (2023)
مصطلحات موضوعية: 5G, New Radio, deep learning, convolutional neural network, CSI reporting, Chemical technology, TP1-1185
وصف الملف: electronic resource
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المساهمون: Zimaglia E., Riviello D. G., Garello R., Fantini R.
المصدر: EuCNC/6G Summit
مصطلحات موضوعية: business.industry, Computer science, Deep learning, New Radio, 5G, Channel Estimation, Convolutional Neural Network, Deep Learning, Throughput, Grid, Convolutional neural network, Computer engineering, Line (geometry), Artificial intelligence, Antenna (radio), business, Communication channel, Computer Science::Information Theory
وصف الملف: ELETTRONICO
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::90762ae4552b90d5f5acd705974edbf0
http://hdl.handle.net/11585/870559 -
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المساهمون: Zimaglia, Elisa, Riviello, Daniel G., Garello, Roberto, Fantini, Roberto
مصطلحات موضوعية: Computer science, business.industry, Deep learning, New Radio, Convolutional Neural Network, CSI reporting, Data_CODINGANDINFORMATIONTHEORY, Convolutional neural network, Set (abstract data type), Deep Learning, Computer engineering, Encoding (memory), Link level, Artificial intelligence, Antenna (radio), business, Decoding methods, 5G, Computer Science::Information Theory
وصف الملف: ELETTRONICO
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::95007c387141cdc068a160b4763f9af0
http://hdl.handle.net/11583/2854076