ONGOING POWER AND SMALL CELL POWER OPTIMIZATION

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ONGOING POWER AND SMALL CELL POWER OPTIMIZATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240214924 titled 'ONGOING POWER AND SMALL CELL POWER OPTIMIZATION

The abstract of this patent application describes a method for controlling power consumption at a cellular base station using artificial intelligence.

Determining a usage characteristic of the base station
Preparing a notification of the usage characteristic
Sending the notification to a cloud computing network
Receiving a power consumption instruction from the cloud network
Effectuating a change in power consumption at the base station based on the instruction

Potential Applications: - Efficient management of power consumption in cellular networks - Optimization of energy usage in telecommunications infrastructure

Problems Solved: - Reducing unnecessary power consumption at base stations - Improving overall energy efficiency in cellular networks

Benefits: - Cost savings through optimized power consumption - Enhanced sustainability of cellular network operations

Commercial Applications: Title: "AI-Driven Power Management for Cellular Networks" This technology can be utilized by telecommunication companies to reduce operational costs and improve environmental sustainability in their networks.

Questions about AI: 1. How does artificial intelligence improve power management in cellular networks? - AI analyzes usage characteristics and provides instructions for optimizing power consumption. 2. What are the benefits of using AI for power management in telecommunications infrastructure? - AI can lead to cost savings and increased energy efficiency in cellular networks.

Original Abstract Submitted

a method of controlling ongoing power consumption at a cellular base station includes determining a usage characteristic of the cellular base station, and preparing a notification of the usage characteristic. the method also includes sending the notification to a cloud computing network so as to be recognized by an artificial intelligence cellular base station management program. the method further includes receiving a power consumption instruction from the cloud computer network when the artificial intelligence cellular base station management program evaluates that the notification meets a criteria for changing power consumption at the cellular base station, and effectuating a change in power consumption at the cellular base station by executing the power consumption instruction.