MACHINE LEARNING-BASED SMALL-SCALE PARAMETER EXTRACTION FOR IMPROVED WIRELESS CHANNEL MODEL FIDELITY

Ben Earle, Ala'a Al-Habashna, Gabriel A. Wainer, Xingliang Li, Guoqiang Xue
Proc. of the 2024 Annual Simulation Conference (ANNSIM’24), American University, DC, USA - May 2024
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Category: Networking and Communications
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"
}

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