Resource Allocation for Network Slicing in Mobile Networks

This paper provides a survey of resource allocation for network slicing. We focus on two classes of existing solutions: (i) reservation-based approaches, which allocate resources on a reservation basis, and (ii) share-based approaches, which allocate resources based on static overall shares associat...

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Main Authors: Albert Banchs, Gustavo de Veciana, Vincenzo Sciancalepore, Xavier Costa-Perez
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Online Access:https://ieeexplore.ieee.org/document/9272281/
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spelling doaj-beb029f635884e16b8b82489f2cbc9be2021-03-30T04:04:24ZengIEEEIEEE Access2169-35362020-01-01821469621470610.1109/ACCESS.2020.30409499272281Resource Allocation for Network Slicing in Mobile NetworksAlbert Banchs0https://orcid.org/0000-0003-3544-8537Gustavo de Veciana1https://orcid.org/0000-0002-1498-494XVincenzo Sciancalepore2https://orcid.org/0000-0002-0680-7150Xavier Costa-Perez3https://orcid.org/0000-0002-9654-6109Department of Telematics Engineering, University Carlos III of Madrid, Leganes, MadridDepartment of Electrical and Computer Engineering, The University of Texas at Austin, Austin, TX, USANEC Laboratories Europe, Heidelberg, GermanyNEC Laboratories Europe, Heidelberg, GermanyThis paper provides a survey of resource allocation for network slicing. We focus on two classes of existing solutions: (i) reservation-based approaches, which allocate resources on a reservation basis, and (ii) share-based approaches, which allocate resources based on static overall shares associated to individual slices. We identify the requirements that a slice-based resource allocation mechanism should satisfy, and evaluate the performance of both approaches against these requirements. Our analysis reveals that reservation-based approaches provide a better level of isolation as well as stricter guarantees, by enabling tenants to explicitly reserve resources, but one must pay a price in terms of efficiency unless reservations can be updated very dynamically; in particular, efficiency falls below 50% when reservations are performed over long timescales. We provide further comparisons in terms of customizability, complexity, privacy and cost predictability, and discuss which approach might be more suitable depending on the network slices' characteristics. We also describe the additional mechanisms required to implement the desired resource allocations while meeting the latency and reliability requirements of the different slice types, and outline some issues for future work.https://ieeexplore.ieee.org/document/9272281/Mobile networksnetwork slicingbeyond 5Gresource allocation
collection DOAJ
language English
format Article
sources DOAJ
author Albert Banchs
Gustavo de Veciana
Vincenzo Sciancalepore
Xavier Costa-Perez
spellingShingle Albert Banchs
Gustavo de Veciana
Vincenzo Sciancalepore
Xavier Costa-Perez
Resource Allocation for Network Slicing in Mobile Networks
IEEE Access
Mobile networks
network slicing
beyond 5G
resource allocation
author_facet Albert Banchs
Gustavo de Veciana
Vincenzo Sciancalepore
Xavier Costa-Perez
author_sort Albert Banchs
title Resource Allocation for Network Slicing in Mobile Networks
title_short Resource Allocation for Network Slicing in Mobile Networks
title_full Resource Allocation for Network Slicing in Mobile Networks
title_fullStr Resource Allocation for Network Slicing in Mobile Networks
title_full_unstemmed Resource Allocation for Network Slicing in Mobile Networks
title_sort resource allocation for network slicing in mobile networks
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2020-01-01
description This paper provides a survey of resource allocation for network slicing. We focus on two classes of existing solutions: (i) reservation-based approaches, which allocate resources on a reservation basis, and (ii) share-based approaches, which allocate resources based on static overall shares associated to individual slices. We identify the requirements that a slice-based resource allocation mechanism should satisfy, and evaluate the performance of both approaches against these requirements. Our analysis reveals that reservation-based approaches provide a better level of isolation as well as stricter guarantees, by enabling tenants to explicitly reserve resources, but one must pay a price in terms of efficiency unless reservations can be updated very dynamically; in particular, efficiency falls below 50% when reservations are performed over long timescales. We provide further comparisons in terms of customizability, complexity, privacy and cost predictability, and discuss which approach might be more suitable depending on the network slices' characteristics. We also describe the additional mechanisms required to implement the desired resource allocations while meeting the latency and reliability requirements of the different slice types, and outline some issues for future work.
topic Mobile networks
network slicing
beyond 5G
resource allocation
url https://ieeexplore.ieee.org/document/9272281/
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