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Machine type communications : key drivers and enablers towards the 6G era |
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| Author: | Mahmood, Nurul Huda1; Böcker, Stefan2; Moerman, Ingrid3; |
| Organizations: |
1University of Oulu, Oulu, Finland 2TU Dortmund University, Dortmund, Germany 3imec - Ghent University, Ghent, Belgium
4German Aerospace Center (DLR), Cologne, Germany
5ETRI, Daejeon, South Korea 6CEA-Leti, Grenoble, France 7Aalto University, Espoo, Finland 8InterDigital, Delaware, USA 9ZTE Corporation, Shenzhen, China 10State Key Laboratory of Mobile Network and Mobile Multimedia, Shenzhen, China 11Huawei Technologies, Ontario, Canada 12Universitat Politècnica de València, Valencia, Spain 13Fraunhofer Institute for Integrated Circuits IIS, Erlangen, Germany 14Kadir Has University, Istanbul, Turkey 15Telkom University, Bandung, Indonesia |
| Format: | article |
| Version: | published version |
| Access: | open |
| Online Access: | PDF Full Text (PDF, 2.7 MB) |
| Persistent link: | http://urn.fi/urn:nbn:fi-fe202201144824 |
| Language: | English |
| Published: |
Springer Nature,
2021
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| Publish Date: | 2022-01-14 |
| Description: |
AbstractThe recently introduced 5G New Radio is the first wireless standard natively designed to support critical and massive machine type communications (MTC). However, it is already becoming evident that some of the more demanding requirements for MTC cannot be fully supported by 5G networks. Alongside, emerging use cases and applications towards 2030 will give rise to new and more stringent requirements on wireless connectivity in general and MTC in particular. Next generation wireless networks, namely 6G, should therefore be an agile and efficient convergent network designed to meet the diverse and challenging requirements anticipated by 2030. This paper explores the main drivers and requirements of MTC towards 6G, and discusses a wide variety of enabling technologies. More specifically, we first explore the emerging key performance indicators for MTC in 6G. Thereafter, we present a vision for an MTC-optimized holistic end-to-end network architecture. Finally, key enablers towards (1) ultra-low power MTC, (2) massively scalable global connectivity, (3) critical and dependable MTC, and (4) security and privacy preserving schemes for MTC are detailed. Our main objective is to present a set of research directions considering different aspects for an MTC-optimized 6G network in the 2030-era. see all
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| Series: |
EURASIP journal on wireless communications and networking |
| ISSN: | 1687-1472 |
| ISSN-E: | 1687-1499 |
| ISSN-L: | 1687-1472 |
| Volume: | 2021 |
| Article number: | 134 |
| DOI: | 10.1186/s13638-021-02010-5 |
| OADOI: | https://oadoi.org/10.1186/s13638-021-02010-5 |
| Type of Publication: |
A2 Review article in a scientific journal |
| Field of Science: |
213 Electronic, automation and communications engineering, electronics |
| Subjects: | |
| Funding: |
This work is supported in part by the Academy of Finland 6Genesis Flagship program (Grant No. 318927), the Ministry of Economic Affairs, Innovation, Digitalisation and Energy of the State of North Rhine-Westphalia (MWIDE NRW) along with the Competence Center 5G.NRW under Grant No. 005-01903-0047, the Deutsche Forschungsgemeinschaft (DFG) within the Collaborative Research Center SFB 876 “Providing Information by Resource-Constrained Analysis”, project A4, European Union’s Horizon 2020 Research and Innovation Program under Grant 732174 (ORCA Project), European Commission through the Next Generation Internet Project “iNGENIOUS: Next-Generation IoT solutions for the universal supply chain” (H2020-ICT-2020-1 call) under Grant 957216, the Scientific and Technological Research Council of Turkey (TUBITAK) under 3501-Career Development Program (CAREER) Grant #118E920, Institute for Information & Communications Technology Promotion (IITP) Grant funded by the Korea government (MSIT) (No. 2020-0-01316, International cooperation and collaborative research on 5G+ technologies for ultra-reliability low latency communications) and the Indonesian Ministry of Finance under the LPDP RISPRO for the Grant under the project of “Prevention and Recovery Networks for Indonesia Natural Disasters Based on the Internet-of-Things (PATRIOT-Net)”. The authors would like to acknowledge the contributions of their colleagues in the project, although the views expressed in this work are those of the authors and do not necessarily represent the project. |
| Academy of Finland Grant Number: |
318927 |
| Detailed Information: |
318927 (Academy of Finland Funding decision) |
| Copyright information: |
© The Author(s), 2021. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. |
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https://creativecommons.org/licenses/by/4.0/ |