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1 Ergebnisse
1
On LSTM Autoencoder-Based Hybrid Precoding for Reconfigurab..:
, In:
2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)
,
Lu, Yi-Hsien
;
Ou, Kai-Hao
;
Chen, Hong-Yunn
... - p. 1-6 , 2022
Link:
https://doi.org/10.1109/VTC2022-Spring54318.2022.98606..
RT T1 <cTitle>2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)</cTitle>: T1 <Title>On LSTM Autoencoder-Based Hybrid Precoding for Reconfigurable Intelligent Surface-Aided Multiuser Millimeter-Wave Massive MIMO 6G Systems</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9860620&Exemplar=1&LAN=DE A1 Lu, Yi-Hsien A1 Ou, Kai-Hao A1 Chen, Hong-Yunn A1 Wu, Meng-Hsun A1 Yang, Ta-Wei A1 Tsai, Hsin-Han A1 Chou, Cheng-Fu YR 2022 SN 2577-2465 K1 6G mobile communication K1 Wireless communication K1 Training K1 Graphical models K1 Precoding K1 Millimeter wave technology K1 Computer architecture K1 sixth-generation (6G) K1 Reconfigurable intelligent surface (RIS) K1 Long Short-Term Memory (LSTM) K1 hybrid precoding K1 Autoencoder SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/VTC2022-Spring54318.2022.9860620 DO https://doi.org/10.1109/VTC2022-Spring54318.2022.9860620 SF ELIB - SuUB Bremen
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