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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: Hang Mi, Bo Ai, Ruisi He, Anuraag Bodi, Raied Caromi, Jian Wang, Jelena Senic, Camillo Gentile, Yang Miao
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Vehicular Technology
Subjects:
Channel measurement
channel prediction
deep learning
mmWave channel
point cloud
Online Access:https://ieeexplore.ieee.org/document/10620622/
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items