2026-06-01T18:57:18Zhttps://riuma.uma.es/rest/oai/request

oai:riuma.uma.es:10630/249882026-02-03T12:00:56Zcom_10630_2254col_10630_37959

Estimación de KQIs para servicio de Vídeo - 360 Peñaherrera-Pulla, Oswaldo Sebastián Baena-González, José Carlos Fortes-Rodríguez, Sergio Baena-Martínez, Eduardo Barco-Moreno, Raquel Realidad virtual - Congresos Sistemas multimedia - Congresos The evolution of mobile networks has led to great opportunities for the development of cutting-edge services. One of these is 360-Video, which is an application of VR (Virtual Reality) technology that intends for displaying immersive multimedia content. This work presents a framework that enables the estimation of Key Quality Indicators (KQI), through the use of ML (Machine Learning) mechanisms, based on Key Performance Indicators (KPI) and network configuration parameters. This methodology aims to quantify metrics that are useful for Quality of Experience evaluation using objective perspectives. The algorithms’ performance is assessed through MAE (Mean Average Error) in two estimation scenarios, per- sample and session average. The results describe the algorithms’ performance of KQI estimation for 360-video over LTE service. 2022-09-14T09:48:34Z 2022-09-14T09:48:34Z 2022-09-14T09:48:34Z 2022-09 conference output https://hdl.handle.net/10630/24988 spa XXXVII Simposium Nacional de la Unión Científica Internacional de Radio (URSI 2022) Málaga, España 5-7 de septiembre de 2022 http://creativecommons.org/licenses/by-nc-nd/4.0/ open access Attribution-NonCommercial-NoDerivatives 4.0 Internacional