Organization And Analysis Of Spatial Data On Coveragr And Interference In Mobile Communication Networks

With the widespread application of LTE mobile communication networks,the coverage and interference environment faced by the network is becoming more complex,and there are many types of interference sources,which makes inter-network interference a major interference factor.At the same time,the amount of network coverage analysis data obtained through measurement or ray tracing is large.How to quickly analyze network coverage and troubleshoot and reduce network interference has become a concern for operators.In this thesis,we have done three aspects of research.(1)The identification of network interference points is related to the communication quality and user experience.The traditional wireless propagation model is not applicable to the complex urban areas of China.Ray tracing model is more accurate to calculate the rays.We use network configuration parameters,driving test data and electronic map information to complete the scene division,and extract geographic data.Then,the coverage analysis area is rasterized,and uniform accelerated grids are established to express the building with greater granularity.Finally,according to the results of ray tracing,field strength calculation,coverage analysis,and network interference identification are performed.(2)Driving test is an important means of interference troubleshooting in LTE networks.Unreasonable assignment of measurement points and trajectories will cause missing interference measurement information at some locations or increase time and labor costs of driving test.We consider that measurement terminals have different measurement ranges in different geographical scenes,the driving test measurement area is divided into multiple scenes by spatial clustering.The optimal assignment of measurement points in a single scene is modeled as a k-coverage problem,and is given by a multi-objective genetic algorithm,then the measurement points along the scene boundaries are adjusted to obtain the optimal point deployment in the measurement area.The TSP algorithm is used to plan the driving-test trajectories.The proposed planning method can ensure that the interference source at any position in the measurement area is within the measurement ranges of at least k measurement points,and provide sufficient measurement information for localizing interference sources at the lower cost,which is beneficial to improve accuracy of interference positioning.(3)In a TD-LTE network,finding an area near a building that satisfies certain interference conditions belongs to a coverage analysis at the regional level.Because the spatial interference data is large in scale and has many dimensions,the R-tree is used as the spatial index structure.We firstly acquire and evaluate spatial interference data.After classifying interference data of different dimensions,the scene modeling is performed.And the mobile communication network data and geographic information data are combined to form an index organization structure of multi-dimensional spatial interference data.This structure supports fast index organization and query.Based on the above research,a software for mobile communication network coverage interference analysis is developed.We use LTE power private network data of a city in southern China to verify its effectiveness.The results show that the research can provide strong support for coverage interference analysis of mobile communication networks.