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Method for detecting LTE (Long Term Evolution) network performance by using integrated regression system

A technology of network performance and regression system, applied in electrical components, wireless communication and other directions, can solve problems such as high-air interface delay, achieve strong adaptability, improve LTE network service quality, and be easy to obtain and analyze.

Active Publication Date: 2016-04-20
NANJING HOWSO TECH
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Problems solved by technology

[0006] The purpose of the present invention is to provide a method for detecting LTE network performance with an integrated regression system to solve the problem cell that allows mobile operators to identify higher air interface delays, and then improve the quality of service of the LTE network by optimizing the problem cell

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  • Method for detecting LTE (Long Term Evolution) network performance by using integrated regression system
  • Method for detecting LTE (Long Term Evolution) network performance by using integrated regression system
  • Method for detecting LTE (Long Term Evolution) network performance by using integrated regression system

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Embodiment

[0045] A method for detecting LTE network performance using an integrated regression system, such as figure 1 shown, including:

[0046] (1) Collection of sample data sets: collect the reception index data of the LTE network and the air interface time delay at each stage of the network to form a sample data set, and divide the sample data set into a training set and a test set;

[0047] Among them, the training set is used to discover the prediction relationship between the receiving index and the air interface delay; the test set is used to detect the accuracy of the model prediction relationship based on the training set;

[0048] (2) During the operation of the training set, through the established model, use the reception index to predict the air interface delay, and use a regression algorithm to predict the samples in the training set on specific subsets;

[0049] (3) By comparing the predicted value obtained by the model in the above step (2) with the real air interface...

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Abstract

The invention provides a method for detecting an LTE (Long Term Evolution) network performance by using an integrated regression system. The method comprises the following steps: step (1), collecting a sample data set; step (2), through an established model, using a reception index to predict an empty delay, and adopting a regression algorithm to respectively predict samples in a training set on a specific subset; step (3), deducing an error value of each sample in the training set and an error of the regression algorithm; step (4), using an analytical method to perform weighted processing on the error in the regression algorithm, and forming an integrated regression prediction model through weighted regression; and step (5), applying the integrated regression algorithm in step (4) to a test set, and detecting the accuracy of a model prediction relationship obtained based on the training set. Through the operation and promotion of the method for detecting the LTE network performance by using the integrated regression system provided by the invention, the empty delay of a user level can be analyzed and inferred, so that a mobile operator can recognize problem cells with a higher empty delay, thus the service quality of an LTE network can be improved by optimizing the problem cells.

Description

technical field [0001] The invention relates to a method for detecting the performance of an LTE network, in particular to a method for detecting the performance of an LTE network by using an integrated regression system. Background technique [0002] In recent years, with the rapid development of LTE wireless networks, the generation and acquisition of communication data has also flourished. In addition to the storage and management of this data flow, a big challenge is how to use this data to better serve the communication network. Therefore, evaluating network performance and user Quality of Experience (QoE) by converting data into corresponding network metrics becomes the ultimate goal. Through analysis, since a large value of air interface delay will affect the quality of network reception and increase network interference, which has a relatively direct impact on user perception experience, the air interface delay is taken as a core indicator. In general, the air inte...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04W24/02
CPCH04W24/02
Inventor 吴冬华欧阳晔石路路代心灵胡岳
Owner NANJING HOWSO TECH