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Measurement-Based Prediction of mmWave Channel Parameters Using Deep Learning and Point Cloud

Millimeter-wave (MmWave) channel characteristics are quite different from sub-6 GHz frequency bands. The major differences include higher path loss and sparser multipath components (MPCs), resulting in more significant time-varying characteristics in mmWave channels. It is difficult to characterize...

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Principais autores: Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2024-01-01
סדרה:IEEE Open Journal of Vehicular Technology
נושאים:
Channel measurement
channel prediction
deep learning
mmWave channel
point cloud
גישה מקוונת:https://ieeexplore.ieee.org/document/10620622/
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