Real-time improvement method and apparatus for distributed network radio frequency performance

摘要

A real-time improvement method and a real-time improvement apparatus for a distributed network radio frequency performance are provided by the present invention. The method comprises: a data analysis unit receiving an input power, an output power and a link gain from a base station element node with a radio frequency module, and establishing a learning model of the base station element node according to the input power, the output power and the link gain; the data analysis unit obtaining an expected output power corresponding to the input power according to a correlation between a preset input power and the expected output power; in the learning model, regulating the link gain according to a difference value between the expected output power and the output power, until the difference value between the output power of the learning model and the expected output power reaches a preset range, and determining the link gain at this moment as a new link gain; and the data analysis unit sending the new link gain to the base station element node with a radio frequency module, and the base station element node regulating the link gain thereof according to the new link gain.

主权项

1. A real-time improvement method for a distributed network radio frequency performance, comprising the real-time steps of:
receiving, by a data analysis unit, an input power, an output power and a link gain from a base station element node with a radio frequency module, and establishing a learning model of the base station element node according to the input power, the output power and the link gain; obtaining, by the data analysis unit, an expected output power corresponding to the input power according to a correlation between a preset input power and the expected output power; in the learning model, regulating the link gain according to a difference value between the expected output power and the output power, until the difference value between the output power of the learning model and the expected output power reaches a preset range, and determining the link gain at this moment as a new link gain; and sending, by the data analysis unit, the new link gain to the base station element node with a radio frequency module, and regulating, by the base station element node, a link gain of the base station element node according to the new link gain.