Are small cells and network intelligence at the edge the drivers for 5g market adoption? The sesame case

Ioannis Neokosmidis, Theodoros Rokkas, Ioannis P. Chochliouros, Leonardo Goratti, Haralambos Mouratidis, Karim M. Nasr, Seiamak Vahid, Klaus Moessner, Antonino Albanese, Paolo Secondo Crosta, Pietro Paglierani

Research output: Chapter in Book/Conference proceeding with ISSN or ISBNConference contribution with ISSN or ISBN

Abstract

Although 5G promises advanced features such as low latency, high data rates and reliability as well as high socio-economic value, the business opportunities of the proposed solutions have not yet been examined. In this paper, the SESAME approach along with spectrum sharing options and indicative use cases are initially described. The incentives for SESAME adoption along with the value proposition and creation are analyzed. Finally, a reference model describing the role and interactions of the involved players as well as the revenue streams is provided.

Original languageEnglish
Title of host publicationEngineering Applications of Neural Networks - 18th International Conference, EANN 2017, Proceedings
PublisherSpringer-Verlag
Pages693-703
Number of pages11
ISBN (Print)9783319651712
DOIs
Publication statusPublished - 1 Jan 2017
Event18th International Conference on Engineering Applications of Neural Networks, EANN 2017 - Athens, Greece
Duration: 25 Aug 201727 Aug 2017

Publication series

NameCommunications in Computer and Information Science
Volume744
ISSN (Print)1865-0929

Conference

Conference18th International Conference on Engineering Applications of Neural Networks, EANN 2017
CountryGreece
CityAthens
Period25/08/1727/08/17

Keywords

  • 5G networks
  • Business model
  • Cloud Computing
  • NFV
  • SDN
  • Small Cells
  • Telecom market

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    Neokosmidis, I., Rokkas, T., Chochliouros, I. P., Goratti, L., Mouratidis, H., Nasr, K. M., ... Paglierani, P. (2017). Are small cells and network intelligence at the edge the drivers for 5g market adoption? The sesame case. In Engineering Applications of Neural Networks - 18th International Conference, EANN 2017, Proceedings (pp. 693-703). (Communications in Computer and Information Science; Vol. 744). Springer-Verlag. https://doi.org/10.1007/978-3-319-65172-9_58