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Resource Allocation for Network Slicing in Mobile Networks

Authors: Albert Banchs; Gustavo de Veciana; Vincenzo Sciancalepore; Xavier Costa-Pérez;

Resource Allocation for Network Slicing in Mobile Networks

Abstract

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.

pub

Country
Spain
Keywords

Telecomunicaciones, network slicing, Beyond 5G resource allocation, Resource management, Complexity theory, Ultra reliable low latency communication, resource allocation, beyond 5G, TK1-9971, Mobile networks, Computational modelling, 5G mobile communication, Cloud computing, Electrical engineering. Electronics. Nuclear engineering, Network slicing

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
downloads
OpenAIRE UsageCountsDownloads provided by UsageCounts
38
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23
42
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gold