University of Oulu

L. L. Mendes et al., "Enhanced Remote Areas Communications: The Missing Scenario for 5G and Beyond 5G Networks," in IEEE Access, vol. 8, pp. 219859-219880, 2020, doi: 10.1109/ACCESS.2020.3042437

Enhanced remote areas communications : the missing scenario for 5G and beyond 5G networks

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Author: Mendes, Luciano Leonel1; Moreno, Carlos Sallé2; Marquezini, Maria Valéria3;
Organizations: 1National Institute of Telecommunications, Santa Rita do Sapucaí 37540-000 , Brazil
2Accenture, 28020 Madrid, Spain
3Ericsson Research, Indaiatuba 13337-300, Brazil
4Vodafone Chair Mobile Communications Systems, Technische Universität Dresden, 01062 Dresden, Germany
5CPQD, Campinas 13086-902, Brazil
6Center for Wireless Communications, University of Oulu, 90014 Oulu, Finland
7Department of Telematic Engineering, Universidad Carlos III de Madrid, 28911 Leganes, Spain
8Department of Computer Science, University of Brasília, Brasília 70910-900, Brazil
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 3.9 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe202101182013
Language: English
Published: Institute of Electrical and Electronics Engineers, 2020
Publish Date: 2021-01-18
Description:

Abstract

The next generation of mobile communication system will allow a plethora of new services and use cases. By offering support for high throughput connections, low latency response and massive number of connections, the fifth generation of the mobile network will trigger applications unseen in any other network. However, one important application scenario is not being properly addressed by the players responsible for the mobile networks’ standardization, that is the remote and rural areas network. This scenario requires large cells with high throughput, flexibility to opportunistically exploit free bands below 1 GHz and spectrum agility to change the operational frequency when an incumbent is detected. Incipient actions are being considered for the Release 17 but based on the new radio specification as starting point. The limitations imposed by orthogonal waveforms in the physical layers hinder the exploitation of vacant TV channels in rural and remote areas. 5G-RANGE, a Brazil-Europe bilateral cooperation project, aims at conceiving, implementing and deploying an innovative mobile network, designed to provide reliable and cost-effective connection in these regions. This network can be seamlessly integrated with the other 5G scenarios, closing the connectivity gap between the urban, rural and remote areas. Hence, 5G-RANGE network is an interesting complementary solution for beyond 5G standards. This paper presents the major achievements of the 5G-RANGE project, from the design of the physical, medium access control and network layers, to the field demonstrations. The paper also covers the business models that can be used to make the deployment of this technology a reality.

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Series: IEEE access
ISSN: 2169-3536
ISSN-E: 2169-3536
ISSN-L: 2169-3536
Volume: 8
Pages: 219859 - 219880
DOI: 10.1109/ACCESS.2020.3042437
OADOI: https://oadoi.org/10.1109/ACCESS.2020.3042437
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
B5G
Funding: This work was supported in part by the European Union's Horizon 2020 Research and Innovation Programme under Grant 777137 (5G-RANGE Project), in part by the Centro de Pesquisa e Desenvolvimento em Tecnologias Digitais para Informação e Comunicação / Rede Nacional de Pesquisa (CTIC/RNP)/Ministério da Ciência, Tecnologia, Informação e Comunicação (MCTIC) through the 4a. Chamada Coordenada Brazil Europe (BR-EU) em Tecnologias da Informação e Comunicação (TICS), and in part by the Conselho Nacional de Desenvolvimento Cientíco e Tecnológico (CNPq)-Brazil under Grant 05085/2018-2. Computations were performed in part at the Center for Information Services and High Performance Computing at Technische Universität Dresden.
EU Grant Number: (777137) 5GRANGE - Remote area Access Network for 5th GEneration
Copyright information: © The Authors 2020. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see https://creativecommons.org/licenses/by/4.0/.
  https://creativecommons.org/licenses/by/4.0/