Network Performance Analysis And Optimization Of Urban Hotspot Area Based On 3D Random Cluster Process

Ultra dense network(UDN)is considered to be a key technology to increase the data traffic of future mobile communication systems.However,the wide application of ultra-dense networks has also brought the problems of increased interference and increased power consumption.In order to solve these problems,it is necessary to conduct more scientific and theoretical study on the network.As a mathematical tool,stochastic geometry can be used to model network construction and analyze network performance.With the acceleration of urbanization,the network performance of urban hot spots has become an important part.The highrise buildings in urban make the communication network architecture gradually evolve from a two-dimensional(2D)plane to a threedimensional(3D)space.In these hotspot areas,base stations are densely distributed in different buildings,showing a characteristic of clustering.Therefore,the use of random cluster process to model and analyze 3D space network can reflect the characteristics of the network structure more reasonably,which is of great significance to further improve the network performance.Based on the 3D random cluster process,three aspects of study are conducted on hotspot areas.The first part is the modeling and analysis of the urban hotspot area network based on the cluster process.Firstly,a network model based on Matern cluster process(MCP)is established for the 3D urban hot spots,in which the penetration loss of the indoor network is considered,and the floor attenuation factor(FAF)penetration loss model is adopted.Based on this model,general expressions of network coverage probability and energy efficiency are derived.After that,the final simplified formulas of coverage probability and energy efficiency are also obtained by simplifying the probability density function and the probability generating function.Finally,the accuracy and rationality of the results are verified by simulation.The second part is the network energy efficiency analysis based on the cooperative sleep strategy between base stations.First,according to the characteristics of the clustered distribution of base stations,a Matern cluster process network model is established.Then,the operating scheme and sleep conditions based on the cooperative sleep strategy between base stations are described.Next,the expression of network energy efficiency under the sleep strategy is derived and simplified calculations are performed.Finally,the accuracy of the calculation is verified by simulation,and the effectiveness of this sleep strategy is demonstrated by the comparison with the random sleep strategy.The third part is the modeling and analysis of unmanned aerial vehicle(UAV)cruise network based on Poisson line process(PLP).Firstly,it introduces the process of using the Poisson line process to establish the UAV cruise model and using the Matern cluster process to establish the ground users’ model.Later,through the analysis of network communication scenes and the study on the signal-tointerference-plus-noise ratio(SINR),the expression of network coverage probability is derived,and the expression of coverage probabilty is further simplified and calculated using vector decomposition.Finally,the relevant simulation verification is carried out.