Enhanced Mobile Broadband as Enabler for 5G: Actions from the Framework of the 5G-DRIVE Project

Ioannis Chochliouros; Na Yi; Anastasia Spiliopoulou; Alexandros Kostopoulos; Nathan Gomes; Uwe Herzog; Tao Chen; Athanassios Dardamanis; Olga Segou; Philippos Assimakopoulos; Klaus Moessner; Juha Jidbeck; Rahim Tafazolli; Latif Ladid

doi:10.1007/978-3-030-19909-8_3

Conference proceeding

Enhanced Mobile Broadband as Enabler for 5G: Actions from the Framework of the 5G-DRIVE Project

Ioannis Chochliouros, Na Yi, Anastasia Spiliopoulou, Alexandros Kostopoulos, Nathan Gomes, Uwe Herzog, Tao Chen, Athanassios Dardamanis, Olga Segou, Philippos Assimakopoulos, …

Artificial Intelligence Applications and Innovations. AIAI 2019. IFIP Advances in Information and Communication Technology, Vol.AICT-560, pp.31-45

Artificial Intelligence Applications and Innovations

IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), 15th

2019

DOI: https://doi.org/10.1007/978-3-030-19909-8_3

Abstract

Computer Science

In the new fascinating era of 5G, new communication requirements set diverse challenges upon existing networks, both in terms of technologies and business models. One among the essential categories of the innovative 5G mobile network services is the enhanced Mobile Broadband (eMBB), mainly aiming to fulfill users’ demand for an increasingly digital lifestyle and focusing upon facilities that implicate high requirements for bandwidth. In this paper we have discussed eMBB as the first commercial use of the 5G technology. Then, we have focused upon the original context of the 5G-DRIVE research project between the EU and China, and we have identified essential features of the respective eMBB trials, constituting one of the corresponding core activities. In addition, we have discussed proposed scenarios and KPIs for assessing the scheduled experimental work, based on similar findings from other research and/or standardization activities.

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Title: Enhanced Mobile Broadband as Enabler for 5G: Actions from the Framework of the 5G-DRIVE Project
Creators: Ioannis Chochliouros - Hellenic Telecommunications Organization
Na Yi - University of Surrey, School of Computer Science and Electronic Engineering
Anastasia Spiliopoulou - Hellenic Telecommunications Organization
Alexandros Kostopoulos - Hellenic Telecommunications Organization
Nathan Gomes - University of Kent
Uwe Herzog - European Institute For Research and Strategic Studies In Telecommunications
Tao Chen - VTT Technical Research Centre of Finland
Athanassios Dardamanis - Forthnet
Olga Segou - ORION Innovations PC, Athens, Greece
Philippos Assimakopoulos - University of Kent
Klaus Moessner - University of Surrey, School of Computer Science and Electronic Engineering
Juha Jidbeck - VTT Technical Research Centre of Finland
Rahim Tafazolli - University of Surrey, School of Computer Science and Electronic Engineering
Latif Ladid - University of Luxembourg
Contributors: J. Macintyre (Editor)
I. Maglogiannis (Editor)
LS Iliadis (Editor)
E. Pimenidis (Editor)
Publication Details: Artificial Intelligence Applications and Innovations. AIAI 2019. IFIP Advances in Information and Communication Technology, Vol.AICT-560, pp.31-45
Conference: IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), 15th
Series: Artificial Intelligence Applications and Innovations
Publisher: Springer International Publishing
Date published: 2019
Grants: 5G-DRIVE - 5G DRIVEn Resource Efficient Mobile Aggregation Networks, 797061, European Research Council (Belgium, Brussels) - ERC
814956, Horizon 2020
Grant note: This work has been performed in the scope of the 5G-DRIVE European Research Project and has been supported by the Commission of the European Communities/H2020, Grant Agreement No. 814956.
Identifiers: 99777799102346
Academic Unit: School of Computer Science and Electronic Engineering
Language: English
Resource Type: Conference proceeding

Enhanced Mobile Broadband as Enabler for 5G: Actions from the Framework of the 5G-DRIVE Project

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