The prediction of indoor coverage from outdoor base stations should be of even greater interest than outdoor prediction, as most wireless data traffic is generated indoors. Due to difficulties in acquiring indoor building maps on a large scale and integrating outdoor and indoor propagation models, outdoor-to-indoor prediction has been limited in practice to the use of generic outdoor-to-indoor attenuation factors or empirical formulas. In the present work, we propose a hybrid method based on deterministic 3D outdoor prediction on building surfaces and indoor extension using a Radiosity-based iterative method that does not require a detailed building map. Prediction results are checked against measurements and, surprisingly, they appear to be almost as accurate as outdoor prediction results.

A Semi-deterministic Model for Outdoor-to-Indoor Prediction in Urban Areas

DEGLI ESPOSTI, VITTORIO;VITUCCI, ENRICO MARIA;FUSCHINI, FRANCO;BARBIROLI, MARINA
2017

Abstract

The prediction of indoor coverage from outdoor base stations should be of even greater interest than outdoor prediction, as most wireless data traffic is generated indoors. Due to difficulties in acquiring indoor building maps on a large scale and integrating outdoor and indoor propagation models, outdoor-to-indoor prediction has been limited in practice to the use of generic outdoor-to-indoor attenuation factors or empirical formulas. In the present work, we propose a hybrid method based on deterministic 3D outdoor prediction on building surfaces and indoor extension using a Radiosity-based iterative method that does not require a detailed building map. Prediction results are checked against measurements and, surprisingly, they appear to be almost as accurate as outdoor prediction results.
2017
DEGLI ESPOSTI, Vittorio; Jonathan, Lu; Jeff, Wu; Zhu, Jet; Blaha, Jerome; Vitucci, ENRICO MARIA; Fuschini, Franco; Barbiroli, Marina
File in questo prodotto:
File Dimensione Formato  
Letter_AWPL_Outdoor-to-Indoor.pdf

accesso aperto

Tipo: Postprint
Licenza: Licenza per accesso libero gratuito
Dimensione 1.18 MB
Formato Adobe PDF
1.18 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/605461
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 13
  • ???jsp.display-item.citation.isi??? 9
social impact