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Journal of Network and Systems Management
Published in: Journal of Network and Systems Management 3/2019

23-11-2018

Slicing in WiFi Networks Through Airtime-Based Resource Allocation

Authors: Matías Richart, Javier Baliosian, Joan Serrat, Juan-Luis Gorricho, Ramón Agüero

Published in: Journal of Network and Systems Management | Issue 3/2019

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Abstract

Network slicing is one of the key enabling technologies for 5G networks. It allows infrastructure owners to assign resources to service providers (tenants), which will afterwards use them to satisfy their end-user demands. This paradigm, which changes the way networks have been traditionally managed, was initially proposed in the wired realm (core networks). More recently, the scientific community has paid attention to the integration of network slicing in wireless cellular technologies (LTE). However, there are not many works addressing the challenges that appear when trying to exploit slicing techniques over WiFi networks, in spite of their growing relevance. In this paper we propose a novel method of proportionally distributing resources in WiFi networks, by means of the airtime. We develop an analytical model, which shed light on how such resources could be split. The validity of the proposed model is assessed by means of simulation-based evaluation over the ns-3 framework
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Footnotes
1
This assumption disregards the time that a packet may be waiting for the transmission medium to be clear, with an impact on the accuracy of our analysis. Including such time in our model is left for further work.
 
2
It is important to notice that this is valid only if at each round at least one packet can be dequeued. For this to happen it is required for the quantum to be at least equal to \(T_{max}\).
 
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Metadata
Title
Slicing in WiFi Networks Through Airtime-Based Resource Allocation
Authors
Matías Richart
Javier Baliosian
Joan Serrat
Juan-Luis Gorricho
Ramón Agüero
Publication date
23-11-2018
Publisher
Springer US
Published in
Journal of Network and Systems Management / Issue 3/2019
Print ISSN: 1064-7570
Electronic ISSN: 1573-7705
DOI
https://doi.org/10.1007/s10922-018-9484-x

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