Graduate School and Research Center in Digital Sciences

RAN slicing: Challenges, technologies and tools

Nikaein, Navid

CROWNCOM 2019, 14th EAI International Conference on Cognitive Radio Oriented Wireless Networks, June 11-12, 2019, Poznan, Poland

The softwarization of network processing components coupled with virtualization of network infrastructure constitutes the foundation for a multi-service and multi-tenant architecture. In this context, radio access network (RAN) slicing and control are emerging as a key enabler to flexibly customize and manage virtualized base stations in runetime while sharing the radio resources among them, with the objective of accommodating operators, service providers, over-the-top, and service providers’ requirements. This tutorial will shed light on the challenges, solutions and technologies, and enabling tools focusing on opensource tools to realize network slicing with data-driven control in 5G leveraging machine learning (ML) techniques. Particularly, the tutorial will also rely on concrete prototypes and solutions with alternative RAN slicing and control approaches to assess how the performance guarantee and isolation properties are provided to each slice and how the runtime control is used to optimize the network and service objectives.

Document Bibtex

Title:RAN slicing: Challenges, technologies and tools
Department:Communication systems
Eurecom ref:5908
Copyright: EAI
Bibtex: @tutorial{EURECOM+5908, year = {2019}, title = {{RAN} slicing: {C}hallenges, technologies and tools}, author = {{N}ikaein, {N}avid}, number = {EURECOM+5908}, month = {06}, institution = {Eurecom} address = {{P}oznan, {POLAND}}, url = {} }
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