Abstract: A method for evaluating a deployment of a candidate configuration, of radio access equipment of a communication network at a location including: obtaining historical data relating to the network, the historical data comprising topographical information relating to radio access equipment existing in a geographical area before deployment of the candidate configuration at the location level and measurements of one performance indicator of the communication network over an elapsed time period; and predicting a variation of the performance indicator of the communication network, induced by the deployment, the variation being predicted based on the historical network data and topographical information relating to the candidate configuration, and from a previously-learned prediction model, the prediction model being implemented by an artificial intelligence module configured to receive as input data the historical network data and the topographical information of the candidate configuration and to produce as output

Abstract: A method for updating a predictive model of a variable representing the operation of a mobile terminal connected to a communication network by packets is described. A first predictive model is configured to estimate a value of the variable as a function of the value of predictors, linked to the variable by a common operating context. The method can be implemented by the mobile terminal and can include generating a feed message, comprising at least the measured value and the values of the predictors, if the difference between the measured value and the estimated value is greater than or equal to a determined threshold, called the feed threshold, the method can further include transmitting the at least one feed message generated, to an update server connected to the network, receiving an update message, comprising a second predictive model updated on the basis of at least the feed message, coming from the update server, and replacing the first predictive model with the second predictive model.

Abstract: A method for updating a predictive model of a variable representing the operation of a mobile terminal connected to a communication network by packets is described. A first predictive model is configured to estimate a value of the variable as a function of the value of predictors, linked to the variable by a common operating context. The method can be implemented by the mobile terminal and can include generating a feed message, comprising at least the measured value and the values of the predictors, if the difference between the measured value and the estimated value is greater than or equal to a determined threshold, called the feed threshold, the method can further include transmitting the at least one feed message generated, to an update server connected to the network, receiving an update message, comprising a second predictive model updated on the basis of at least the feed message, coming from the update server, and replacing the first predictive model with the second predictive model.