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Prediction of 5G New Radio Wireless Channel Path Gains and Delays Using Machine Learning and CSI Feedback
 

Prediction of 5G New Radio Wireless Channel Path Gains and Delays Using Machine Learning and CSI Feedback

Ben Earle, Ala'a Al-Habashna, Gabriel A. Wainer
2021 Annual Modeling and Simulation Conference (ANNSIM), Fairfax, VA, USA - 2021
Download the publication : Prediction of 5G New Radio Wireless Channel Path Gains and Delays Using Mach2.pdf [422Ko]  
Booktitle: 2021 Annual Modeling and Simulation Conference (ANNSIM)
Year : 2021
Publisher: IEEE
Address : Fairfax, VA, USA
URL: http://cell-devs-02.sce.carleton.ca/publications/2021/EAW21

BibTex references

@Conference_Paper\{EAW21,
  author       = "Earle, Ben and Al-Habashna, Ala'a  and Wainer, Gabriel A.",
  title        = "Prediction of 5G New Radio Wireless Channel Path Gains and Delays Using Machine Learning and CSI Feedback",
  booktitle    = "2021 Annual Modeling and Simulation Conference (ANNSIM)",
  year         = "2021",
  publisher    = "IEEE",
  address      = "Fairfax, VA, USA",
  url          = "http://cell-devs-02.sce.carleton.ca/publications/2021/EAW21"
}

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