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  5. A 6G White Paper on Connectivity for Remote Areas

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Preprint
English
2020

A 6G White Paper on Connectivity for Remote Areas

0 Datasets

0 Files

English
2020
arXiv (Cornell University)
DOI: 10.48550/arxiv.2004.14699

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Matti Latva-aho
Matti Latva-aho

University Of Oulu

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Harri Saarnisaari
Sudhir Dixit
Mohamed‐Slim Alouini
+31 more

Abstract

In many places all over the world rural and remote areas lack proper connectivity that has led to increasing digital divide. These areas might have low population density, low incomes, etc., making them less attractive places to invest and operate connectivity networks. 6G could be the first mobile radio generation truly aiming to close the digital divide. However, in order to do so, special requirements and challenges have to be considered since the beginning of the design process. The aim of this white paper is to discuss requirements and challenges and point out related, identified research topics that have to be solved in 6G. This white paper first provides a generic discussion, shows some facts and discusses targets set in international bodies related to rural and remote connectivity and digital divide. Then the paper digs into technical details, i.e., into a solutions space. Each technical section ends with a discussion and then highlights identified 6G challenges and research ideas as a list.

How to cite this publication

Harri Saarnisaari, Sudhir Dixit, Mohamed‐Slim Alouini, Abdelaali Chaoub, Marco Giordani, Adrian Kliks, Marja Matinmikko‐Blue, Nan Zhang, Anuj Agrawal, Mats R. Andersson, Vimal Bhatia, Wei Cao, Yunfei Chen, Wei Feng, Marjo Heikkilä, Josep Miquel Jornet, Luciano Leonel Mendes, Heikki Karvonen, Brejesh Lall, Matti Latva-aho, Xiangling Li, Kalle Lähetkangas, Moshe T. Masonta, Alok Pandey, Pekka Pirinen, Khaled M. Rabie, Tlou Ramoroka, Hanna Saarela, Amit Singhal, Kaibo Tian, Justin Wang, Chenchen Zhang, Yang Zhen, Haibo Zhou (2020). A 6G White Paper on Connectivity for Remote Areas. arXiv (Cornell University), DOI: 10.48550/arxiv.2004.14699.

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Publication Details

Type

Preprint

Year

2020

Authors

34

Datasets

0

Total Files

0

Language

English

Journal

arXiv (Cornell University)

DOI

10.48550/arxiv.2004.14699

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