CPC G06F 1/206 (2013.01) [G06F 1/3287 (2013.01); H04W 52/0251 (2013.01)] | 20 Claims |
1. A method, comprising:
defining, by a user equipment, a first temperature zone and a second temperature zone based on thermal mitigation guidelines;
detecting, by the user equipment, a temperature of the user equipment;
identifying, by the user equipment, whether the temperature occurs in the first temperature zone or the second temperature zone;
obtaining, by the user equipment and based on identifying whether the temperature occurs in the first temperature zone or the second temperature zone,
a machine learning model for use in selecting one or more actions to maintain or reduce the temperature,
wherein the machine learning model has been trained using historical information regarding user equipment characteristics, historical information regarding actions performed to maintain or reduce temperature, and historical information regarding results of the actions;
inputting, by the user equipment and into the machine learning model, data relating to one or more characteristic parameters of the user equipment to cause the machine learning model to output data relating to one or more actions; and
performing, by the user equipment and based on the machine learning model outputting the data relating to the one or more actions, the one or more actions to maintain or reduce the temperature within the first temperature zone or to reduce the temperature to cause the temperature to switch from the second temperature zone to the first temperature zone.
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