A novel approach for user equipment indoor/outdoor classification in mobile networks

The ability to locate users and estimate traffic in mobile networks is still one of the major challenges when it comes to planning and optimizing the networks. Since indoor location is not always possible or precise, having the ability to distinguish indoor from outdoor traffic can be a valuable alt...

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Bibliographic Details
Main Author: Alves, Pedro (author)
Other Authors: Saraiva, Thaína (author), Barandas, Marília (author), Duarte, David (author), Moreira, Dinis (author), Santos, Ricardo (author), Leonardo, Ricardo (author), Gamboa, Hugo (author), Vieira, Pedro (author)
Format: article
Language:eng
Published: 2022
Subjects:
Indoor outdoor detection
Machine learning algorithms
Long term evolution
Measurement campaigns
Smartphone
Network traces
Online Access:http://hdl.handle.net/10400.21/14783
Country:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/14783

Internet

http://hdl.handle.net/10400.21/14783

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