A Machine Learning Based Channel Parameter Prediction Method Utilizing Ray Tracing Simulation Dataset
Author:
Affiliation:
1. Zhejiang University-University of Illinois at Urbana-Champaign (ZJU-UIUC) Institute,Jiaxing,China
2. College of Information Science and Electronic Engineering, Zhejiang University,Hangzhou,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10249211/10249015/10250078.pdf?arnumber=10250078
Reference8 articles.
1. TR 138 901 - VI7.0.0 – 5G; Study on Channel Model for Frequencies From 0.5 to 100 GHz, 3GPP document TR 38.901 version 17.0.0 Release 17,0
2. Huawei Technologies Co. Ltd, Wireless AI Research Dataset,2022
3. Wireless channel feature extraction via GMM and CNN in the tomographic channel model
4. Machine Learning Based Rapid 3D Channel Modeling for UA V Communication Networks;wang;2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC),2019
5. C-GRBFnet: A Physics-Inspired Generative Deep Neural Network for Channel Representation and Prediction
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