Wireless network prediction method, electronic device and storage medium

Abstract

A method for predict wireless network includes the following steps: the Gaussian process regression model is established by selecting several network communication index variables and corresponding target index variables, a covariance function is determined in the form of a Gaussian kernel function to solve a reasonable value of each parameter in the covariance function, a first value to be predicted at any time point and a first cross-sectional data vector of a required independent variable are set to obtain a corresponding joint distribution function to calculate an estimation value of the first value to be predicted; a second value to be predicted in any period of time and a second cross-sectional data vector of a desired independent variable are set, and an estimation value of the second value to be predicted is calculated. The invention utilizes Gaussian process regression method to carry out regular mining on the historically accumulated network live broadcast data, constructs adata model, and can effectively predict the change situation of the network index of the target in a certain period of time in the future, thus providing more effective data reference for optimizing radio network resource allocation and performance optimization.

Description

technical field [0001] The invention relates to a wireless network communication technology, in particular to a wireless network prediction method, electronic equipment and a storage medium. Background technique [0002] At present, with the rapid development of communication and information technology, wireless communication networks have gradually achieved large-scale popularization, and users' dependence on wireless networks in daily life is gradually increasing. How to accurately and effectively predict the vigorous use of wireless networks by users in different areas, avoid network congestion and other situations, and effectively improve the efficiency of wireless network resource allocation is one of the key contents of communication operators' daily operation and maintenance optimization, in order to further improve User satisfaction with wireless network use. The current analysis of the vigorous use of wireless networks is usually found through the analysis of user ...

AI Technical Summary

Problems solved by technology

[0004](1) Commonly used linear prediction methods, neural networks and other methods are less practical, and the prediction results are unstable under small samples, and cannot be well compatible with different networks Forecast of demand indicators, such as traffic volume and GPRS usage;

[0005](2) It is impossible to effectively predict the changing law of wireless network demand in a certain area in the future;

[0006](3) Unable to comprehensively predict wireless network related indicators with multiple factors

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