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Efficient Machine Learning-Enhanced Channel Estimation for OFDM Systems

Recently much research work has focused on employing deep learning (DL) algorithms to perform channel estimation in the upcoming 6G communication systems. However, these DL algorithms are usually computationally demanding and require a large number of training samples. Hence, this work investigates...

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Bibliografische Detailangaben
Hauptverfasser: Bilal A. Jebur, Sinan H. Alkassar, Mohammed A. M. Abdullah, Charalampos C. Tsimenidis
Format: Artigo
Sprache:Inglês
Veröffentlicht: IEEE 2021-01-01
Schriftenreihe:IEEE Access
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Online-Zugang:https://ieeexplore.ieee.org/document/9486896/
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