Method, device and system for base station power automatic optimization

Abstract

The invention discloses a method, a device and a system for base station power automatic optimization. The implementation of the method comprises the steps that a network performance index is monitored, if the index does not reach the standard, prompt information is sent out, and whether a non-power parameter optimization fault leads to that the performance index does not reach the standard is waited to be confirmed; if the non-power parameter optimization fault leads to that the performance index does not reach the standard, and the performance index still does not reach the standard after the non-power parameter optimization fault is corrected, a present load and adjacent region information of a base station to be optimized are obtained; and the base station to be optimized is subjected to power optimization in terms of the present load and the adjacent region information. By employing the above method, the automatic power optimization can be achieved, influence brought by manual intervention can be reduced, and the efficiency and the accuracy of the power optimization are improved.

Description

technical field [0001] The present invention relates to the field of communication technology, in particular to a base station power automatic optimization method, device and system. Background technique [0002] Wireless network optimization is a task that needs to be performed periodically during wireless communication operations. Wireless network optimization has the characteristics of long cycle and high cost. From the observation of the wireless network operation market, more and more operators have put forward the need for easy maintenance of base stations to reduce maintenance costs and skill requirements for network optimization engineers. [0003] The wireless network optimization commonly used at present can be: use network optimization tools to optimize power, and there are several commercial network optimization tools available for selection. The basic process of the program is as follows: [0004] 1. The on-site engineer measures all the sites in the network,...

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Problems solved by technology

[0008] The above scheme requires manual collection of standard industrial parameter information. Since manual collection cannot synchronize the changes in industrial parameter information in time, there are errors in parameter measurement, resulting in low accuracy of power parameter optimization.

In addition, the above solutions require manual methods or even manual drive tests, which are only suitable for optimization with detailed industrial parameter information.

Therefore, the above network optimization scheme needs to be implemented manually, with low efficiency and inaccurate power parameter optimization.

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