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Telecommunication Systems

Erschienen in:

21.11.2020

Analysis of crowdsourced data for estimating data speeds across service areas of India

verfasst von: V. Sridhar, K. Girish, M. Badrinarayan

Erschienen in: Telecommunication Systems | Ausgabe 4/2021

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Abstract

The intense adoption of Information Technology by businesses and government have increased data consumption across the world. While some countries have augmented their telecom infrastructure, data speeds are still very low in countries such as India. In this paper, we collected about 25 million records of crowdsourced data obtained through the mobile app deployed by the regulator in India. We have built a panel data regression model and analyzed the effect of supply-side variables such as radio spectrum holding of the operator, the mobile access infrastructure deployed by the operators, the technology deployed (3G/4G), and the demand side variable such as the mobile subscriber base. Our analysis indicates that a lower amount of spectrum holding, poor receive signal strength at mobile handsets, and the technology deployed (3G/4G) negatively affect the users’ download data speeds. The subscriber base also has a moderate effect on the data speeds. We conclude by prescribing policy recommendations on spectrum allocation and improvements in mobile access technologies to augment users’ quality of experience.

Vorheriger Artikel On spectrally-efficient device-to-device communication with wireless information and power transfer

Nächster Artikel Lama: Link characteristic aware multicast data dissemination for computational RFIDs

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Titel: Analysis of crowdsourced data for estimating data speeds across service areas of India
verfasst von: V. Sridhar
K. Girish
M. Badrinarayan
Publikationsdatum: 21.11.2020
Verlag: Springer US
Erschienen in: Telecommunication Systems / Ausgabe 4/2021
Print ISSN: 1018-4864
Elektronische ISSN: 1572-9451
DOI: https://doi.org/10.1007/s11235-020-00736-z

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