Resource allocation and management techniques for network slicing in WiFi networks

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hdl:2117/192941
Document typeConference report
Defense date2020
Rights accessOpen Access
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ProjectNECOS - Novel Enablers for Cloud Slicing (EC-H2020-777067)
APROVISIONAMIENTO DINAMICO DE CONECTIVIDAD EN ESCENARIOS INALAMBRICOS 5G DE ALTA DENSIDAD (MINECO-TEC2015-71329-C2-2-R)
APROVISIONAMIENTO DINAMICO DE CONECTIVIDAD EN ESCENARIOS INALAMBRICOS 5G DE ALTA DENSIDAD (MINECO-TEC2015-71329-C2-2-R)
Abstract
Network slicing has recently been proposed as one of the main enablers for 5G networks; it is bound to cope with the increasing and heterogeneous performance requirements of these systems. To "slice" a network is to partition a shared physical network into several self-contained logical pieces (slices) that can be tailored to offer different functional or performance requirements. Moreover, a defining characteristic of the slicing paradigm is to provide resource isolation as well as efficient use of resources. In this context, the thesis described in this paper contributes to the problem of slicing WiFi networks by proposing a solution to the problem of enforcing and controlling slices in WiFi Access Points. The focus of the research is on a variant of network slicing called QoS Slicing, in which slices have specific performance requirements. In this document, we describe the two main contributions of our research, a resource allocation mechanism to assign resources to slices, and a solution to enforce and control slices with performance requirements in WiFi Access Points.
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CitationRichart, M. [et al.]. Resource allocation and management techniques for network slicing in WiFi networks. A: IEEE/IFIP Network Operations and Management Symposium. "Proceedings of IEEE/IFIP Network Operations and Management Symposium 2020: Management in the Age of Softwarization and Artificial Intelligence: 20-24 April 2020". 2020, p. 1-6.
ISBN978-1-7281-4974-5
Publisher versionhttps://ieeexplore.ieee.org/document/9110407
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