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1 Ergebnisse
1
Machine-Learning-Assisted Scenario Classification Using Lar..:
, In:
2022 IEEE/CIC International Conference on Communications in China (ICCC)
,
Zhao, Meng
;
Yu, Yiming
;
Yi, Cheng
.. - p. 43-48 , 2022
Link:
https://doi.org/10.1109/ICCC55456.2022.9880790
RT T1 <cTitle>2022 IEEE/CIC International Conference on Communications in China (ICCC)</cTitle>: T1 <Title>Machine-Learning-Assisted Scenario Classification Using Large-Scale Fading Characteristics and Geographic Information</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-9880790&Exemplar=1&LAN=DE A1 Zhao, Meng A1 Yu, Yiming A1 Yi, Cheng A1 Wang, Haiming A1 Gao, Songtao YR 2022 K1 Wireless communication K1 Fading channels K1 Simulation K1 Standardization K1 Radio propagation K1 Mobile communication K1 Loss measurement K1 Scenario classification K1 large-scale fading char-acteristics K1 geographic information K1 weighted K-Nearest Neigh-bors (WKNN) SP 43 OP 48 LK http://dx.doi.org/https://doi.org/10.1109/ICCC55456.2022.9880790 DO https://doi.org/10.1109/ICCC55456.2022.9880790 SF ELIB - SuUB Bremen
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