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Data-driven and GIS-based Coverage Estimation in a Heterogeneous Propagation Environment

Rathod, Nihesh and Subramanian, Renu and Sundaresan, Rajesh (2019) Data-driven and GIS-based Coverage Estimation in a Heterogeneous Propagation Environment. In: 2018 IEEE Global Communications Conference, 9-13 December, 2018, Abu Dhabi National Exhibition Centre (ADNEC)Abu Dhabi; United Arab Emirates;.

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Official URL: https://dx.doi.org/10.1109/GLOCOM.2018.8647473


We provide a data-driven coverage estimation technique that employs machine-learning based regression ideas for exploiting commonality of antenna-gain and other parameters across measurements made in multiple propagation environments. We then show how readily available geographic information system (GIS) data could be exploited for quick classification of geographic areas into various propagation environments, and how this could enable quick and automated estimation of coverage for faster and more efficient deployment of Internet of Things.

Item Type: Conference Proceedings
Series.: IEEE Global Communications Conference
Publisher: IEEE
Additional Information: IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, U ARAB EMIRATES, DEC 09-13, 2018
Keywords: coverage; GIS; heterogeneous propagation environment; Internet of Things (IoT) deployment
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering > Electrical Communication Engineering - Technical Reports
Division of Interdisciplinary Sciences > Robert Bosch Centre for Cyber Physical Systems
Date Deposited: 11 Jul 2019 11:05
Last Modified: 11 Jul 2019 11:05
URI: http://eprints.iisc.ac.in/id/eprint/62901

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