Computing device and method using a neural network to infer a predicted state of a communication channel

A method using a neural network to infer a predicted state of a communication channel, the method comprising:

• storing a predictive model generated by a neural network training engine in a memory of a computing device, the predictive model comprising weights of a neural network;
• collecting by a processing unit of the computing device a plurality of data samples representative of operating conditions of the communication channel, the communication channel being associated to a communication interface of the computing device, the communication interface allowing an exchange of data between the computing device and at least one remote computing device over the communication channel, each data sample comprising:
• a measure of the amount of data transmitted by the communication interface over the communication channel during a period of time, a measure of the amount of data received by the communication interface over the communication channel during the period of time, and a connection status of the communication channel during the period of time;
• executing by the processing unit of the computing device a neural network inference engine, the neural network inference engine implementing the neural network, the neural network comprising an input layer followed by at least one hidden layer followed by an output layer, the input layer comprising neurons receiving the plurality of data samples, the output layer comprising one or more neuron respectively outputting an output value, the neural network using the weights for calculating the one or more output value based on the plurality of data samples;
• and
• determining by the processing unit of the computing device a predicted state of the communication channel based on the one or more output value calculated by the neural network, the predicted state of the communication channel taking one value among a set of discrete values, the set of discrete values comprising operational and non-operational.

A non-transitory computer program product comprising instructions executable by a processing unit of a computing device, the execution of the instructions by the processing unit of the computing device providing for using a neural network to infer a predicted state of a communication channel by:

• storing a predictive model generated by a neural network training engine in a memory of the computing device, the predictive model comprising weights of a neural network;
• collecting by the processing unit of the computing device a plurality of data samples representative of operating conditions of the communication channel, the communication channel being associated to a communication interface of the computing device, the communication interface allowing an exchange of data between the computing device and at least one remote computing device over the communication channel, each data sample comprising:
• a measure of the amount of data transmitted by the communication interface over the communication channel during a period of time, a measure of the amount of data received by the communication interface over the communication channel during the period of time, and a connection status of the communication channel during the period of time;
• executing by the processing unit of the computing device a neural network inference engine, the neural network inference engine implementing the neural network, the neural network comprising an input layer followed by at least one hidden layer followed by an output layer, the input layer comprising neurons receiving the plurality of data samples, the output layer comprising one or more neuron respectively outputting an output value, the neural network using the weights for calculating the one or more output value based on the plurality of data samples;
• and
• determining by the processing unit of the computing device a predicted state of the communication channel based on the one or more output value calculated by the neural network, the predicted state of the communication channel taking one value among a set of discrete values, the set of discrete values comprising operational and non-operational.