MACHINE LEARNING-BASED SMALL-SCALE PARAMETER EXTRACTION FOR IMPROVED WIRELESS CHANNEL MODEL FIDELITY
Proc. of the 2024 Annual Simulation Conference (ANNSIM’24), Washington DC, USA - May 2024
Keywords: Wireless Channel Reconstruction, Direction of Arrival, Cluster Delay Line, and Machine Learning.
Booktitle: Proc. of the 2024 Annual Simulation Conference (ANNSIM’24)
Month : May
Year : 2024
Publisher: IEEE
Organization: ACM. IEEE
Address : Washington DC, USA
URL: http://cell-devs-02.sce.carleton.ca/publications/2024/EAWLX24
BibTex references
@Conference_Paper\{EAWLX24,
author = "Earle, Ben and Al-Habashna, Ala'a and Wainer, Gabriel A. and Li, Xingliang and Xue, Guoqiang ",
title = "MACHINE LEARNING-BASED SMALL-SCALE PARAMETER EXTRACTION FOR IMPROVED WIRELESS CHANNEL MODEL FIDELITY",
category = "Networking and Communications",
booktitle = "Proc. of the 2024 Annual Simulation Conference (ANNSIM’24)",
month = "May",
year = "2024",
publisher = "IEEE",
organization = "ACM. IEEE",
address = "Washington DC, USA ",
keywords = "Wireless Channel Reconstruction, Direction of Arrival, Cluster Delay Line, and Machine Learning.",
url = "http://cell-devs-02.sce.carleton.ca/publications/2024/EAWLX24"
}
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