Big data in 5G distributed applications
Authors:
- Valentina Nejkovic,
- Ari Visa,
- Milorad Tosic,
- Nenad Petrovic,
- Mikko Valkama,
- Mike Koivisto,
- Jukka Talvitie,
- Svetozar Rancic,
- Daniel Grzonka,
- Jacek Tchorzewski,
- Pierre Kuonen,
- Francisco Gortazar
Abstract
Fifth generation mobile networks (5G) will rather supplement than replace current 4G networks by dramatically improving their bandwidth, capacity and reliability. This way, much more demanding use cases that simply are not achievable with today’s networks will become reality - from home entertainment, to product manufacturing and healthcare. However, many of them rely on Internet of Things (IoT) devices equipped with low-cost transmitters and sensors that generate enormous amount of data about their environment. Therefore, due to large scale of 5G systems, combined with their inherent complexity and heterogeneity, Big Data and analysis techniques are considered as one of the main enablers of future mobile networks. In this work, we recognize 5G use cases from various application domains and list the basic requirements for their development and realization.
- Record ID
- CUT6ba3d19dbb2c4739baff6b0f7174827e
- Publication type
- Publication categories
- ; ;
- Author
- Pages
- 138-162
- Other elements of collation
- rys.; Bibliografia (na s.) - 158-162; Bibliografia (liczba pozycji) - 82; Oznaczenie streszczenia - Abstr.
- Substantive notes
- Na okł.: State-of-the-Art Survey
- Book
- Kołodziej Joanna, Joanna Kołodziej González-Vélez Horacio Horacio González-Vélez (eds.): High-performance modelling and simulation for big data applications : selected results of the COST action IC1406 cHiPSet, Theoretical Computer Science and General Issues, 2019, Cham, Springer, Springer, 352 p., ISBN 978-3-030-02327-0 (eBook). DOI:10.1007/978-3-030-16272-6 Opening in a new tab
- Keywords in English
- 5G, big data, use cases
- DOI
- DOI:10.1007/978-3-030-16272-6_5 Opening in a new tab
- URL
- https://link.springer.com/chapter/10.1007/978-3-030-16272-6_5 Opening in a new tab
- Language
- eng (en) English
- License
- Score (nominal)
- 20
- Uniform Resource Identifier
- https://cris.pk.edu.pl/info/article/CUT6ba3d19dbb2c4739baff6b0f7174827e/
- URN
urn:pkr-prod:CUT6ba3d19dbb2c4739baff6b0f7174827e
* presented citation count is obtained through Internet information analysis, and it is close to the number calculated by the Publish or PerishOpening in a new tab system.