Big Data Analytics In The Context Of Mobile Network Performance Optimization
| but.event.date | 25.04.2019 | cs |
| but.event.title | Student EEICT 2019 | cs |
| dc.contributor.author | Klus, Roman | |
| dc.date.accessioned | 2020-04-16T07:19:31Z | |
| dc.date.available | 2020-04-16T07:19:31Z | |
| dc.date.issued | 2019 | cs |
| dc.description.abstract | Crowdsourcing is a modern and growing technique of acquiring large amount of information. This project utilizes the data on mobile connectivity gathered by RTR NetzTest application to evaluate the performance indicators of the network. The software tool capable of assessing the network based on location, operator and other parameters will be created and utilized for benchmarking of the Austrian network operators. The software tool will be able to monitor the individual telecommunication nodes to estimate their performance in time. | en |
| dc.format | text | cs |
| dc.format.extent | 255-258 | cs |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Proceedings of the 25st Conference STUDENT EEICT 2019. s. 255-258. ISBN 978-80-214-5735-5 | cs |
| dc.identifier.isbn | 978-80-214-5735-5 | |
| dc.identifier.uri | http://hdl.handle.net/11012/186665 | |
| dc.language.iso | en | cs |
| dc.publisher | Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.relation.ispartof | Proceedings of the 25st Conference STUDENT EEICT 2019 | en |
| dc.relation.uri | http://www.feec.vutbr.cz/EEICT/ | cs |
| dc.rights | © Vysoké učení technické v Brně, Fakulta elektrotechniky a komunikačních technologií | cs |
| dc.rights.access | openAccess | en |
| dc.subject | Big Data | en |
| dc.subject | Crowdsourcing | en |
| dc.subject | LTE | en |
| dc.subject | Mobile Network | en |
| dc.subject | Open Data | en |
| dc.title | Big Data Analytics In The Context Of Mobile Network Performance Optimization | en |
| dc.type.driver | conferenceObject | en |
| dc.type.status | Peer-reviewed | en |
| dc.type.version | publishedVersion | en |
| eprints.affiliatedInstitution.department | Fakulta elektrotechniky a komunikačních technologií | cs |
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