Research on 3D coverage scheme for 5G based on BP neural network
Aiming at the problem of poor accuracy in 5G coverage layering within buildings,a layering method based on air pressure values is proposed based on height data layering.A BP neural network is used to establish an analysis model,accurately locate the altitude and floor of indoor sampling points in the 5G network,achieve accurate analysis of 5G coverage in build-ings,and provide support for the precise construction of 5G indoor distribution.The analysis results show that at a 95％confidence level,compared with the multivariate linear fitting func-tion and Laplace pressure equation,the standard error value of the BP neural network is only 0.000295,which shows the best performance and can effectively improve the accuracy of 5G coverage layering.
BP neural net workAtmospheric pressureAir pressure sensorTemperature3D izationRoom division planning
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