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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Detalhes bibliográficos
Autor principal: Alves, Pedro (author)
Outros Autores: Saraiva, Thaína (author), Barandas, Marília (author), Duarte, David (author), Moreira, Dinis (author), Santos, Ricardo (author), Leonardo, Ricardo (author), Gamboa, Hugo (author), Vieira, Pedro (author)
Formato: article
Idioma:eng
Publicado em: 2022
Assuntos:
Indoor outdoor detection
Machine learning algorithms
Long term evolution
Measurement campaigns
Smartphone
Network traces
Texto completo:http://hdl.handle.net/10400.21/14783
País:Portugal
Oai:oai:repositorio.ipl.pt:10400.21/14783

Texto Completo

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

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