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A Data-Driven Cell Received Power Prediction Method

A prediction method and received power technology, applied in transmission monitoring, electrical components, transmission systems, etc., can solve problems such as complex power prediction scenarios

Active Publication Date: 2021-05-14
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

Raw data plus a suitable machine learning model can already realize the prediction of wireless signal power. However, the scene of power prediction is usually more complicated and there are many factors to be considered. Therefore, feature engineering is carried out on the basis of raw data combined with professional knowledge to improve model expression. upper limit, it is worth further study

Method used

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  • A Data-Driven Cell Received Power Prediction Method
  • A Data-Driven Cell Received Power Prediction Method
  • A Data-Driven Cell Received Power Prediction Method

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Embodiment

[0040] figure 1 It is a flow chart of a data-driven cell receiving power prediction method in the present invention.

[0041] In this example, if figure 1 Shown, the present invention a kind of method based on data-driven cell receiving power prediction, comprises the following steps:

[0042] S1. Obtain multiple sets of historical measured data in the community, each set of historical measured data includes tagged data, engineering parameters and map parameters; then preprocess the collected data;

[0043] The historical measured data of the community is collected according to the grid position. During the data collection process, data is collected from as many aspects as possible for the convenience of follow-up research. Preprocessing a set of data: including proposing distorted data, filling missing values, removing outliers and noise data

[0044] Among them, as shown in Table 1, the engineering parameters include: transmitter position coordinates (Cell X, Cell Y), the h...

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Abstract

The invention discloses a method for predicting cell receiving power based on data drive. Firstly, the collected cell data is preprocessed, and then divided according to functions, and divided into engineering parameters and map parameters. All engineering parameters are reserved and based on this Design feature link distance, actual height, signal line down-tilt and vertical distance between target grid and signal line. Map parameters are filtered by calculating variance and Pearson correlation coefficient. The expanded engineering parameters are merged with the filtered map parameters. Then use the above data to input the cascaded model XGBoost+LR for training to obtain a prediction model; it is best to use the prediction model to predict the wireless signal coverage strength in a new environment, thereby greatly reducing the cost of wireless network construction and improving network construction efficiency.

Description

technical field [0001] The invention belongs to the technical field of wireless communication, and more specifically relates to a method for predicting cell receiving power based on data drive. Background technique [0002] Wireless communication is one of the most active directions in the field of information technology today. With the vigorous development of 5G technology, its impact on the progress of human society has received more and more attention from governments. In the process of building a 5G network, considering the need to increase the coverage area of ​​wireless signals as much as possible and reduce the deployment cost of base stations, reasonable wireless network planning has become an important issue that needs to be solved urgently. In the implementation of wireless planning, radio signal received power (RSRP) prediction plays a very important role: by relatively reasonable prediction of wireless signal propagation characteristics in the communication cove...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04B17/318H04B17/373H04B17/391H04W24/06
CPCH04W24/06H04B17/318H04B17/373H04B17/3913
Inventor 郑文锋杨波何建树刘珊曾庆川
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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