Device and method for machine learning in a telecommunications network based on radio cells

A method for machine learning in a telecommunications network based on radio cells, the method comprising:

• recording a series of observations of a property of a signal received by a mobile terminal in the telecommunications network;
• recording a series of observations of a connection handover signal transmitted by a network device in the telecommunications network;
• determining a model, wherein the determining includes learning a set of model parameters of the model as a function of both of the series of observations;
• estimating an estimated value of a handover parameter using the model as a function of the learned set of model parameters;
• predicting, as a function of (i) an observation of the property and (ii) the estimated value, a time of a connection handover in the telecommunications network in which the mobile terminal switches from one radio cell of the telecommunications network to another radio cell of the telecommunications network during a connection without interrupting the connection, wherein the connection is a call connection or a data connection;
• carrying out the connection handover as a function of the parameter;
• recording a time at which the connection handover is, carried out;
• and:
• modifying the set of parameters as a function of the predicted time and the recorded time.

A device for machine learning in a telecommunications network based on radio cells, the device comprising:

• a computer;
• and
• a computer-readable medium on which are stored instructions that are executable by the computer and that, when executed by the computer, cause the computer to perform a method, the method including the following steps:
• recording a series of observations of a property of at least one signal received over a period of time by a mobile terminal in the telecommunications network;
• recording a series of observations of at least one connection handover signal, transmitted over the period of time by a network device in the telecommunications network;
• determining, a machine-learned model as a function of both of the recorded series of observations;
• determining, using the determined machine-learned model, an estimated value of a handover parameter;
• and
• predicting, based on the estimated value of the handover timing parameter, a time of a connection handover in the telecommunications network in which the mobile terminal switches from one radio cell of the telecommunications network to another radio cell of the telecommunications network during an ongoing connection without interrupting the connection, wherein the connection is a call connection or a data connection.

A non-transitory machine readable medium on which is stored a computer program including machine-readable instructions, the instructions, when executed by a computer, causing the computer to perform the following steps:

• recording a series of observations of a property of at least one signal received over a period of time by a mobile terminal in the telecommunications network;
• recording a series of observations of at least one connection handover signal, transmitted over the period of time by a network device in the telecommunications network;
• determining, a machine-learned model as a function of both of the recorded series of observations;
• determining, using the determined machine-learned model, an estimated value of a handover parameter;
• and
• predicting, based on the estimated value of the handover timing parameter, a time of a connection handover in the telecommunications network in which the mobile terminal switches from one radio cell of the telecommunications network to another radio cell of the telecommunications network during an ongoing connection without interrupting the connection, wherein the connection is a call connection or a data connection.

A method for machine learning in a telecommunications network based on radio cells, the method comprising:

• recording a series of observations of a property of a signal received by a mobile terminal in the telecommunications network;
• recording a series of observations of a connection handover signal transmitted by a network device in the telecommunications network;
• determining a model, wherein the determining includes learning a set of model parameters of the model as a function of both of the series of observations;
• estimating an estimated value of a handover parameter using the model as a function of the learned set of model parameters;
• predicting, as a function of (i) an observation of the property and (ii) the estimated value, whether there will occur a connection handover, in the telecommunications network and as a function of the handover parameter, in which the mobile terminal switches from one radio cell of the telecommunications network to another radio cell of the telecommunications network during a connection without interrupting the connection, wherein the connection is a call connection or a data connection;
• recording whether the connection handover actually occurs;
• and
• modifying the set of parameters as a function of the prediction and the record of whether the connection handover actually occurred.