Network optimization quality assessment method and device

Abstract

The present invention discloses a network optimization quality assessment method and device. The method comprises: obtaining an index value corresponding to a network quality index of each district in a target area; performing statistics of the number of districts corresponding to each index value, and taking a corresponding index value having the maximum value of the number of the districts in all the index values as an index value with the maximum number; determining the worst index value according to the index value with the maximum number and a threshold value, determining the number of the worst districts in the target area according to the worst index value, wherein the worst districts are districts of index values corresponding to the network quality indexes of the districts being smaller than the worst index value; and performing assessment of the network optimization quality of the target area according to the number of the worst districts.

Description

technical field [0001] The invention relates to the technical field of mobile communication, in particular to a network optimization quality evaluation method and device. Background technique [0002] Generally speaking, in the field of communication network optimization services, when evaluating the wireless network optimization quality of regional branches and third-party optimization manufacturers, the quality of network optimization is usually evaluated according to the quality of the absolute value of the index. This approach has the following limitations: [0003] (1) The wireless main equipment used in each area is different. Some manufacturers' equipment indicators are better, while others are worse. Differences in wireless main equipment lead to differences in indicators. [0004] (2) The wireless main equipment in each area is connected to the core network equipment of different manufacturers through different transmission routes, and the difference between the tr...

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Problems solved by technology

[0003] (1) The wireless main equipment used in each area is different, and some manufacturers have better equipment indicators, while others are worse. The differences in wireless main equipment lead to differences in indicators

[0004] (2) The wireless main equipment in each area is connected to the core network equipment of different manufacturers through different transmission routes, and the difference between the transmission network and the core network leads to the difference in indicators

[0006] (4) The progress of network construction in each region is different. If the network coverage is good, the indicators will be relatively good. If the network coverage is poor, the indicators will be relatively poor. Differences in network coverage will lead to differences in indicators

[0007] To sum up, the existing methods for evaluating network optimization quality based on the absolute value of indicators are greatly affected by external factors such as equipment, area, and coverage, and cannot objectively and fairly reflect the actual network optimization quality.

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