Wireless network performance prediction method and apparatus, electronic device, medium, and product
By embedding features into the initial performance indicators and configuration parameters of the wireless cell set, and combining this with a multilayer perceptron to build a network performance prediction model, the problems of large computational load and long time consumption in existing technologies are solved, and accurate prediction and efficient optimization of wireless network performance are achieved.
Patent Information
- Application Number
- CN202610410218.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-03-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing technologies for wireless network performance prediction do not utilize existing global operational patterns within a region, resulting in high computational load and long processing time, which fails to meet the timeliness requirements of network optimization.
By acquiring the initial performance indicators and configuration parameters of the wireless cell set, performing feature embedding processing, using a multilayer perceptron to determine the target hidden layer features of the hidden layer neurons, and combining them with candidate configuration parameter features, a network performance prediction model is constructed to achieve accurate prediction of wireless network performance.
It improves the efficiency and accuracy of network performance prediction, and can achieve accurate prediction after parameter adjustment based on underlying laws, thus meeting the timeliness requirements of network optimization.
Smart Images
Figure CN122420893A_ABST