A Multivariate Time-Series Based Approach for Quality Modeling in Wireless Networks

Author:

Aguayo LeonardoORCID,Fortes SergioORCID,Baena CarlosORCID,Baena EduardoORCID,Barco RaquelORCID

Abstract

This work presents a method for estimating key quality indicators (KQIs) from measurements gathered at the nodes of a wireless network. The procedure employs multivariate adaptive filtering and a clustering algorithm to produce a KQI time-series suitable for post-processing by the network management system. The framework design, aimed to be applied to 5G and 6G systems, can cope with a nonstationary environment, allow fast and online training, and provide flexibility for its implementation. The concept’s feasibility was evaluated using measurements collected from a live heterogeneous network, and initial results were compared to other linear regression techniques. Suggestions for modifications in the algorithms are also described, as well as directions for future research.

Funder

Junta de Andalucía

European Regional Development Fund

Fundação de Apoio à Pesquisa do Distrito Federal

Universidad de Málaga

Publisher

MDPI AG

Subject

Electrical and Electronic Engineering,Biochemistry,Instrumentation,Atomic and Molecular Physics, and Optics,Analytical Chemistry

Reference41 articles.

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