Research On Visual Aid Analysis And Management Scheme For Inter-cell Interference In Dense Networks

With the rapid development of wireless communication technology,the number of massive network terminal devices increased exponentially,and the amount of cellular mobile service data also experienced explosive growth,which causes higher requirements for the fifth generation wireless communication technology.In addition to the communication service quality of cellular network and the communication capability of terminals,the service objects of the fifth generation mobile communication will extend to new cellular business applications such as virtual reality,unmanned driving,wearable devices,augmented reality and even artificial intelligence super robots,thus forming an interconnected world of everything.Huge data flow is the foundation of realizing the interconnected world of everything,and the most direct way to meet the requirements of the huge data flow is through the Dense Network(Ultra Dense Network,UDN)of microbase stations deployed in space.Dense network can effectively improve the spectrum efficiency of the network,but the increase in the density of micro-base station makes the network topology more complex,the power of the micro-base station transmission lower,and the coverage radius reduced,resulting in more serious interference in the network,which poses a new challenge to interference management.To solve these problems,this paper proposes a new method of interference management and visual aid analysis as follows:1)In order to understand the basic characteristics of dense network,the random geometry theory was used to establish the network model,and the performance of dense network was analyzed.Voronoi diagram was used to carry out irregular segmentation of the cell in the dense network,and the micro-base station deployment in the cell followed the twodimensional poisson point process.MATLAB is used to simulate the deployment of dense network micro-base station,and the simulation results are in line with the random distribution of micro-base station and cell users in the dense network,among which,some key modeling methods provide a reference for the study of interference management scheme.2)In order to solve the problem that the micro-base station deployment in a dense cell simulated by random geometry poisson point process may cause the micro-base station coverage vulnerability,a method for detecting and repairing the vulnerability coverage based on Voronoi diagram was proposed to improve the micro-base station deployment.Besides,in order to get a better understanding of the whole process of mutual interference,visual assistant analysis is carried out on the process of mutual interference between micro-base stations in dense cell space.The discrete point method is adopted to realize the visualization of interference process.The signal receiving point is set in space,the signal power of the signal receiving point is calculated to correspond appropriately to the RGB color relationship,and the interference process between micro-base stations is simulated by the color change of the signal receiving point in three-dimensional space.3)A method of frequency multiplexing combination is proposed for the interference between dense cells.This method includes switching between different frequency reuse methods,and can improve the throughput and signal-to-noise ratio of end users by selecting a reuse method suitable for real-time network requirements according to the real-time location distribution and traffic volume of cell users.Simulation results show that this method can switch between different frequency multiplexing modes according to the realtime situation of the network and obviously improves the throughput and signal-to-noise ratio of the end user.Under the influence of frequency multiplexing combination method,weak interference points are determined by setting the signal-to-noise ratio of the signal receiving points in the computing space.Then,the fuzzy c-means algorithm is used to cluster and optimize the weak interference points to avoid the over-large coverage area of the region with better communication quality formed in the space.The optimized weak jamming points are integrated with the Delaunay triangulation to form a region with better communication quality in space.