Network optimization analysis requi

Network optimization analysis requires the use of a variety of network data, whether it is data volume, data type, or analysis methods can be used for reference, in the mobile Internet field is generally used in the big data analysis method. Combined with the analysis data types and big data analysis methods of mobile communication network optimization, three application directions of big data optimization of network are proposed, that is, global data replaces sampled data, efficiency takes precedence over precision, and correlation replaces causality.Through big data analysis, the market data, network development data, complaint data, current network operation data and other multidimensional data are analyzed to determine the wireless network optimization scheme and the new base station scheme. This paper mainly discusses the application of Hadoop data analysis in LTE wireless network planning, and provides raster-level RSRP value through MR data analysis to determine the coverage of LTE wireless network. Finally, new LTE base station planning is carried out based on MR data analysis results to guide the optimization construction of LTE wireless network.