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Millimetre-Wave Backhaul for 5G Networks: Challenges and Solutions

The trend for dense deployment in future 5G mobile communication networks makes current wired backhaul infeasible owing to the high cost. Millimetre-wave (mm-wave) communication, a promising technique with the capability of providing a multi-gigabit transmission rate, offers a flexible and cost-effe...

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Detalles Bibliográficos
Autores principales: Feng, Wei, Li, Yong, Jin, Depeng, Su, Li, Chen, Sheng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934318/
https://www.ncbi.nlm.nih.gov/pubmed/27322265
http://dx.doi.org/10.3390/s16060892
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author Feng, Wei
Li, Yong
Jin, Depeng
Su, Li
Chen, Sheng
author_facet Feng, Wei
Li, Yong
Jin, Depeng
Su, Li
Chen, Sheng
author_sort Feng, Wei
collection PubMed
description The trend for dense deployment in future 5G mobile communication networks makes current wired backhaul infeasible owing to the high cost. Millimetre-wave (mm-wave) communication, a promising technique with the capability of providing a multi-gigabit transmission rate, offers a flexible and cost-effective candidate for 5G backhauling. By exploiting highly directional antennas, it becomes practical to cope with explosive traffic demands and to deal with interference problems. Several advancements in physical layer technology, such as hybrid beamforming and full duplexing, bring new challenges and opportunities for mm-wave backhaul. This article introduces a design framework for 5G mm-wave backhaul, including routing, spatial reuse scheduling and physical layer techniques. The associated optimization model, open problems and potential solutions are discussed to fully exploit the throughput gain of the backhaul network. Extensive simulations are conducted to verify the potential benefits of the proposed method for the 5G mm-wave backhaul design.
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spelling pubmed-49343182016-07-06 Millimetre-Wave Backhaul for 5G Networks: Challenges and Solutions Feng, Wei Li, Yong Jin, Depeng Su, Li Chen, Sheng Sensors (Basel) Article The trend for dense deployment in future 5G mobile communication networks makes current wired backhaul infeasible owing to the high cost. Millimetre-wave (mm-wave) communication, a promising technique with the capability of providing a multi-gigabit transmission rate, offers a flexible and cost-effective candidate for 5G backhauling. By exploiting highly directional antennas, it becomes practical to cope with explosive traffic demands and to deal with interference problems. Several advancements in physical layer technology, such as hybrid beamforming and full duplexing, bring new challenges and opportunities for mm-wave backhaul. This article introduces a design framework for 5G mm-wave backhaul, including routing, spatial reuse scheduling and physical layer techniques. The associated optimization model, open problems and potential solutions are discussed to fully exploit the throughput gain of the backhaul network. Extensive simulations are conducted to verify the potential benefits of the proposed method for the 5G mm-wave backhaul design. MDPI 2016-06-16 /pmc/articles/PMC4934318/ /pubmed/27322265 http://dx.doi.org/10.3390/s16060892 Text en © 2016 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC-BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Feng, Wei
Li, Yong
Jin, Depeng
Su, Li
Chen, Sheng
Millimetre-Wave Backhaul for 5G Networks: Challenges and Solutions
title Millimetre-Wave Backhaul for 5G Networks: Challenges and Solutions
title_full Millimetre-Wave Backhaul for 5G Networks: Challenges and Solutions
title_fullStr Millimetre-Wave Backhaul for 5G Networks: Challenges and Solutions
title_full_unstemmed Millimetre-Wave Backhaul for 5G Networks: Challenges and Solutions
title_short Millimetre-Wave Backhaul for 5G Networks: Challenges and Solutions
title_sort millimetre-wave backhaul for 5g networks: challenges and solutions
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4934318/
https://www.ncbi.nlm.nih.gov/pubmed/27322265
http://dx.doi.org/10.3390/s16060892
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