Data analytics architectural framework for smarter radio resource management in 5G radio access networks

Ferrús Ferré, Ramón Antonio; Sallent Roig, José Oriol; Pérez Romero, Jordi

doi:10.1109/MCOM.001.1900475

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Ferrús Ferré, Ramón Antonio

Sallent Roig, José Oriol

Pérez Romero, Jordi

Document typeArticle

Defense date2020-05

Rights accessOpen Access

Abstract

Along with supporting new business opportunities, data analytics –understood as the pursuit of extracting meaning from raw data– will be key to getting 5G Radio Access Networks (RANs) efficiently rolled out and operated. The exploitation of data analytics services within the RAN itself, that is, to empower the operation of the RRM algorithms executed within the RAN nodes, is an incipient area of interest that broadens the more well-established applicability of using data analytics for on-top-of-the-RAN operations. In this respect, this article is an attempt to put a spotlight on this topic by motivating a plausible data analytics architectural framework for data-driven, smarter RRM algorithms.

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© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes,creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

CitationFerrús, R.; Sallent, J.; Perez-Romero, J. Data analytics architectural framework for smarter radio resource management in 5G radio access networks. "IEEE communications magazine", Maig 2020, vol. 58, núm. 5, p. 98-104.

URIhttp://hdl.handle.net/2117/329735

DOI10.1109/MCOM.001.1900475

ISSN0163-6804

Publisher versionhttps://ieeexplore.ieee.org/document/9112751

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