Method for predicting coverage of 4G LTE (Long-Term Evolution) network based on 3G path measurement data

Abstract

A method for predicting the coverage of a 4G LTE (Long-Term Evolution) network based on 3G path measurement data comprises a process for measuring the key coverage indexes of base stations in the existing 3G network and a process for calculating measuring results, wherein the key coverage indexes of each related base station in the existing 3G network are acquired by a test tool, the wireless signal propagation loss of each related base station is calculated, the extra wireless propagation loss, which is caused by frequency variation, of each related base station is measured and calculated according to a freedom space propagation model, the key indexes for evaluating the quality of the 4G LTE network are obtained, a predicting result is obtained, and the predicting result is finally presented by a secondary development tool of a geographic information system. The coverage of the 4G network deployed by the existing 3G network can be predicted, and the deviation degree between the predicting result and a test result after the deployment of an actual test network is within 6dB.

Description

Technical field: [0001] The invention relates to the field of electricity, in particular to mobile communication technology, in particular to a method for predicting 4G LTE network coverage based on 3G drive test data. Background technique: [0002] At present, telecom operators have deployed mature third-generation mobile communication networks. However, the 4th generation mobile communication network (LTE) is about to be deployed. Considering factors such as saving investment, intensive construction, rapid deployment, energy saving and emission reduction, operators need to deploy the 4th generation LTE network on the basis of the existing 3rd generation mobile communication network. Due to different communication standards and different wireless frequencies, it is difficult to predict the coverage quality of a 4G network deployed on a 3G network. For example, the frequency change of 4G network relative to 3G network will bring additional loss to radio propagation, thus a...

AI Technical Summary

Problems solved by technology

Due to different communication standards and different wireless frequencies, it is difficult to predict the coverage quality of 4G networks deployed on 3G networks

For example, the frequency change of 4G network relative to 3G network will bring additional loss to radio propagation, which will affect the coverage quality of 4G network

In the prior art, there are two methods for predicting the coverage quality of 4G networks. One is to predict the coverage of 4G networks based on empirical models such as the Okumura-Hatta and Cost231 models. Since this type of model does not support prediction within 1km, the prediction results Not ideal, the deviation is greater than 8dB

And it doesn't have 5-meter accuracy predictions

The other is to predict the coverage of 4G networks based on the 5-meter-accurate ray-tracing model, and the deviation can be controlled below 8dB. However, it requires the support of a 5-meter-accurate 3D digital map and ray-tracing model, which is difficult to be widely used.

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