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1 Ergebnisse
1
Individual Memory Driven Transformer Deep Learning Model fo..:
, In:
2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)
,
Urakami, Taisei
;
Jia, Haohui
;
Chen, Na
. - p. 1731-1736 , 2022
Link:
https://doi.org/10.23919/APSIPAASC55919.2022.9980016
RT T1 <cTitle>2022 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC)</cTitle>: T1 <Title>Individual Memory Driven Transformer Deep Learning Model for Multi-Cell Massive MIMO Beam Prediction</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9980016&Exemplar=1&LAN=DE A1 Urakami, Taisei A1 Jia, Haohui A1 Chen, Na A1 Okada, Minoru YR 2022 SN 2640-0103 K1 Deep learning K1 Massive MIMO K1 Predictive models K1 Feature extraction K1 Transformers K1 Reliability K1 Millimeter wave communication SP 1731 OP 1736 LK http://dx.doi.org/https://doi.org/10.23919/APSIPAASC55919.2022.9980016 DO https://doi.org/10.23919/APSIPAASC55919.2022.9980016 SF ELIB - SuUB Bremen
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