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Machine Learning-based Indoor Localization and Occupancy Estimation using 5G Ultra-Dense Networks
 

Machine Learning-based Indoor Localization and Occupancy Estimation using 5G Ultra-Dense Networks

Ala'a Al-Habashna, Gabriel A. Wainer, Moayad Aloqaily
Simulation Modelling Practice and Theory, Elsevier, Volume 118, Number 1, page 1-17 - 2022
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Journal : Simulation Modelling Practice and Theory, Elsevier
Number : 1
Volume : 118
Pages : 1-17
Year : 2022
URL: http://cell-devs-02.sce.carleton.ca/publications/2022/AWA22

BibTex references

@Journal_Article\{AWA22,
  author       = "Al-Habashna, Ala'a  and Wainer, Gabriel A. and Aloqaily, Moayad",
  title        = "Machine Learning-based Indoor Localization and Occupancy Estimation using 5G Ultra-Dense Networks",
  journal      = "Simulation Modelling Practice and Theory, Elsevier",
  number       = "1",
  volume       = "118",
  pages        = "1-17",
  year         = "2022",
  url          = "http://cell-devs-02.sce.carleton.ca/publications/2022/AWA22"
}

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