Power efficient base stations
AssigneeT-Mobile Innovations LLC
InventorRaymond Emilio REEVES
Life of this patent
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Abstract
Methods and systems for improving the power efficiency of base stations are provided herein. One or more entities of a telecommunication network utilize device location and device capability information relating to a device's ability to receive and process downlink signals as a basis for making transmission power decisions. Excess transmission power used to communicate downlink signals beyond the range of devices in a coverage area can be eliminated. In some cases, distant devices may be handed over to neighboring base stations with or without power modification to the neighboring base station.
Claims20
One or more non-transitory computer-readable media storing instructions that, when executed by one or more processors, cause the one or more processors to perform a method for improving power efficiency of a base station, the method comprising:
- training a machine learning model using user device location data;
- predicting, using the machine learning model, an amount of downlink transmission power needed by a base station such that, when one or more downlink signals are transmitted by the base station to a user equipment (UE), one or more network parameters of the downlink signals as observed by the UE exceed a predetermined threshold;
- and
- causing the base station to transmit the one or more downlink signals to the UE using the predicted amount of downlink transmission power.
A method for improving power efficiency of a base station, the method comprising:
- training a machine learning model using user device location data;
- predicting, using the machine learning model, an amount of downlink transmission power needed by a base station such that, when one or more downlink signals are transmitted by the base station to a UE, one or more network parameters of the downlink signals as observed by the UE exceed a predetermined threshold;
- and
- transmitting the one or more downlink signals to the UE using the predicted amount of downlink transmission power.
A system comprising one or more processors and one or more non-transitory computer-readable media storing instructions that, when executed by the one or more processors, cause the system to:
- train a machine learning model using user device location data;
- predict, using the machine learning model, an amount of downlink transmission power needed by a base station such that, when one or more downlink signals are transmitted by the base station to a UE, one or more network parameters of the downlink signals as observed by the UE exceed a predetermined threshold;
- and
- control the base station to transmit the one or more downlink signals using the predicted amount of downlink transmission power.
Dependencies are inferred from the claim text.