SwePub
Sök i LIBRIS databas

  Extended search

(WFRF:(Wright MJ)) pers:(Jones G.)
 

Search: (WFRF:(Wright MJ)) pers:(Jones G.) > End to End 5G Measu...

End to End 5G Measurements with MONROE: Challenges and Opportunities

Özgü, Alay (author)
Simula Metropolitan Center for Digital Engineering, Norge
Mancuso, Vincenzo (author)
IMDEA Networks Institute, Spanien
Brunström, Anna, 1967- (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO
show more...
Alfredsson, Stefan, 1976- (author)
Karlstads universitet,Institutionen för matematik och datavetenskap (from 2013),DISCO
Mellia, Marco (author)
Politecnico di Torino, Italien
Bernini, Giacomo (author)
Nextworks, Italien
Lonsethagen, Hakon (author)
Telenor Research, Norge
show less...
 (creator_code:org_t)
IEEE, 2018
2018
English.
In: 4th International Forum on Research and Technologies for Society and Industry (IEEE RTSI 2018). - : IEEE. - 9781538662823
  • Conference paper (peer-reviewed)
Abstract Subject headings
Close  
  • 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)

Find in a library

To the university's database

Kungliga biblioteket hanterar dina personuppgifter i enlighet med EU:s dataskyddsförordning (2018), GDPR. Läs mer om hur det funkar här.
Så här hanterar KB dina uppgifter vid användning av denna tjänst.

 
pil uppåt Close

Copy and save the link in order to return to this view