In-house Localization for Wi-Fi Coverage Diagnostics

Filipe Meneses, Ricardo Ferreira, Adriano Moreira, Carlos Martins

Abstract

Telecommunication operators and Internet Service Providers often face the problem of having residential customers complaining about deficient Wi-Fi coverage inside their houses and/or about the low quality of service while accessing the Internet. Addressing these complaints properly involves a comprehensive in-house diagnostic of the technical deployment, the use of specialized equipment and visits by qualified personnel. An alternative is to involve the users in a preliminary diagnostic, by leveraging the potential of current smartphones, aiming to identify possible causes for the complaints that can be solved remotely or through simple procedures to be executed by the customers. A key feature of such a diagnostic procedure is the ability to estimate the location of the smartphone indoors automatically. This paper proposes a simple indoor localization solution, based on Wi-Fi fingerprinting, that can be integrated into one such diagnostics procedure. The proposed solution was implemented and tested in real-world houses by emulating the behaviour of non-qualified users. The obtained results show that Wi-Fi fingerprinting, when used in such an uncontrolled environment, still poses some challenges as its precision is still significantly low.

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Paper Citation


in Harvard Style

Meneses F., Ferreira R., Moreira A. and Martins C. (2020). In-house Localization for Wi-Fi Coverage Diagnostics.In Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM, ISBN 978-989-758-425-1, pages 216-224. DOI: 10.5220/0009426102160224


in Bibtex Style

@conference{gistam20,
author={Filipe Meneses and Ricardo Ferreira and Adriano Moreira and Carlos Martins},
title={In-house Localization for Wi-Fi Coverage Diagnostics},
booktitle={Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,},
year={2020},
pages={216-224},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0009426102160224},
isbn={978-989-758-425-1},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 6th International Conference on Geographical Information Systems Theory, Applications and Management - Volume 1: GISTAM,
TI - In-house Localization for Wi-Fi Coverage Diagnostics
SN - 978-989-758-425-1
AU - Meneses F.
AU - Ferreira R.
AU - Moreira A.
AU - Martins C.
PY - 2020
SP - 216
EP - 224
DO - 10.5220/0009426102160224