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July 06, 2025 to July 10, 2025 - Athens, Greece
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September 28, 2025 to October 02, 2025 - Lisbon, Portugal
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September 28, 2025 to October 02, 2025 - Lisbon, Portugal
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SocSys 2025 Congress
October 26, 2025 to October 30, 2025 - Barcelona, Spain
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October 26, 2025 to October 30, 2025 - Barcelona, Spain
- SENSORCOMM 2025, The Nineteenth International Conference on Sensor Technologies and Applications
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- HEALTHINFO 2025, The Tenth International Conference on Informatics and Assistive Technologies for Health-Care, Medical Support and Wellbeing
TechWorld 2025 Congress
October 26, 2025 to October 30, 2025 - Barcelona, Spain
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ThinkMind // International Journal On Advances in Telecommunications, volume 15, numbers 3 and 4, 2022 // View article tele_v15_n34_2022_5
Linking Radio Access Network QoE and QoS with Ensemble Multiple Regression
 Authors:
Adrien Schaffner
Louise Travé-Massuyès
Simon Pachy
Bertrand Le Marec Keywords: Ensemble learning; Regression models; Data analysis; Knowledge extraction; Radio access networks; QoS/QoE relationship; Quality via QoE and customer reports Abstract:
The evaluation of user satisfaction is an essential performance indicator for network operators. It can be impacted by several causes, including causes linked to the network. However, linking the subjective comments of a customer with an objective behavior of the network is an issue. Experience shows that an indicator taken from customer complaints gives a good trend on the level of network quality perceived by customers, but it is difficult to transpose into concrete actions because it is often unrelated to the key performance indicators on which engineers base their action plans. The objective of this work is to learn a model that links the complaint rate, expressed by the Customer Satisfaction Rate indicator, with a set of key performance indicators so that performance engineers better understand customer expectations and act foremost on the indicators that give the most dissatisfaction. To this end, this paper takes advantage of ensemble learning applied to multiple regression, focusing the ensemble strategy on variable selection. The model hence makes it possible to link Quality of Experience and Quality of Service, which is demonstrated by nice interpretable results obtained from applying the method to data from a French telecom case study. Pages: 70 to 80 Copyright: Copyright (c) to authors, 2022. Used with permission. Publication date: December 31, 2022 Published in: journal ISSN: 1942-2601
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