Research On TD-LTE Key Technologies Of Wireless Coverage Prediction In Special Network

With the advancement of wireless telecommunicate technology,people pay more and more attention to the Internet of Things,for instance,smart grid is a central use of this technology.However,the general wireless propagation model could not adapt to this situation very well.In this paper,I will report my research about the critical technologies in the area of wireless prediction,especially how to build the propagation model and how to revise the model.Also,I will describe the software implemented by me based on all my research.The paper includes the following parts:1)This article first describes the relative background knowledge.For the special characteristics of the power network,based on the data provided by China Southern Power Grid,the paper describes the establishment of LTE230 propagation model.With the comparison and analyses of LTE230 model and traditional model,it proved to be more suitable for the LTE230 model under the business of smart grid.2)Improve the original data filtering methods.Describes the deficiencies of the existing geographical filtering method and direct filtering method.Based on the research that CW data's noise laws in line with the characteristics of the normal distribution.Use the method of removing twice variance of data to improve the data filtering method.3)Improve the existing propagation model calibration methods.Combine with logistic regression algorithm and LS algorithm to enhance the effect of propagation model calibration.Describes the method of how to realize model fusion.4)The above research results have been implemented through programming and have been embedded into the power project simulation software.It has been applied in the actual Southern Power Grid project.