MACHINE LEARNING-BASED SMALL-SCALE PARAMETER EXTRACTION FOR IMPROVED WIRELESS CHANNEL MODEL FIDELITY
Proc. of the 2024 Annual Simulation Conference (ANNSIM’24), American University, 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 : American University, 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 = "American University, 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" }