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Poster De Conférence Année : 2022

Quality of Experience’s Prediction in Mobile Networks : The case of VoIP service

Résumé

We present a comparative study of the functional data analysis approach and the approach based on the theory of signatures for a prediction problem in a Quality of Experience (QoE) monitoring projet. The problem we consider is a functional linear regression problem where both the dependent variables and the independent variables are functional variables. Our experiments demonstrate the efficiency of the signature approach for prediction in a difficult functional regression problem.
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Dates et versions

hal-04023153 , version 1 (10-03-2023)

Identifiants

  • HAL Id : hal-04023153 , version 1

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Jean Steve TAMO TCHOMGUI, Julien Jacques, Guillaume Fraysse, Vincent Barriac, Stéphane Chrétien. Quality of Experience’s Prediction in Mobile Networks : The case of VoIP service. Spring school «Statlearn: challenging problems in statistical learning», Apr 2022, Cargèse, France. ⟨hal-04023153⟩
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