Search: (WFRF:(Wright MJ)) pers:(Jones G.) >
End to End 5G Measu...
End to End 5G Measurements with MONROE: Challenges and Opportunities
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- Özgü, Alay (author)
- Simula Metropolitan Center for Digital Engineering, Norge
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- Mancuso, Vincenzo (author)
- IMDEA Networks Institute, Spanien
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- Brunström, Anna, 1967- (author)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO
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- Alfredsson, Stefan, 1976- (author)
- Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO
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- Mellia, Marco (author)
- Politecnico di Torino, Italien
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- Bernini, Giacomo (author)
- Nextworks, Italien
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- Lonsethagen, Hakon (author)
- Telenor Research, Norge
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(creator_code:org_t)
- IEEE, 2018
- 2018
- English.
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In: 4th International Forum on Research and Technologies for Society and Industry (IEEE RTSI 2018). - : IEEE. - 9781538662823
- Related links:
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http://eprints.netwo...
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https://kau.diva-por... (primary) (Raw object)
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https://urn.kb.se/re...
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https://doi.org/10.1...
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Abstract
Subject headings
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- To be able to support diverse requirements of massive number of connected devices while also ensuring good user experience, 5G networks will leverage multi-access technolo- gies, deploy supporting operational mechanisms such as SDN and NFV, and require enhanced protocols and algorithms. For 4G networks, MONROE has been key to provide a common measurement platform and a set of methodologies available to the wider community. Such common grounds will become even more important and more challenging with 5G. In this paper, we elaborate on some key requirements for the design and implementation of 5G technologies and highlight the key challenges and needs for new solutions as seen in the context of 5G end-to-end measurements. We then discuss the opportunities that MONROE provides and more specifically, how a 5G-capable MONROE platform could facilitate these efforts.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datavetenskap (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Sciences (hsv//eng)
Keyword
- Computer Science
- Datavetenskap
Publication and Content Type
- ref (subject category)
- kon (subject category)
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