

Anticipating future mobile network conditions that follow the vehicle's route optimizes the in-vehicle application's strategic performance and user experience. Spatial context-awareness enables this kind of anticipation by monitoring vehicle location and parameters of the mobile network coverage's quality on the vehicle's route. Parameters linked to a location define geospatial data points. This paper presents a scalable approach for implementing the method for making the network coverage map from the collected data points and gives an overview of the used map-making methods until now. Our method considers the coverage parameters' fluctuations based on different days and hours. © 2021 IEEE.
| Engineering controlled terms: | Cellular radio systemsMobile telecommunication systemsScalabilityUser experienceWireless networks |
|---|---|
| Engineering uncontrolled terms | Geo-spatial dataIn-vehicle applicationsNetwork conditionNetwork coverageScalable approachScalable methodsSpatial contextVehicle location |
| Engineering main heading: | Vehicles |
| Funding sponsor | Funding number | Acronym |
|---|---|---|
| Ministarstvo Prosvete, Nauke i Tehnološkog Razvoja | 451-03-68/2020-14/200156 | MPNTR |
ACKNOWLEDGMENT This research(paper) has been supported by the Ministry of Education, Science and Technological Development through the project no. 451-03-68/2020-14/200156: "Innovative scientific and artistic research from the FTS (activity) domain."
© Copyright 2021 Elsevier B.V., All rights reserved.