Modeling And Analysis Of Heterogeneous Networks Based On User Mobility Status

The rapid growth of mobile communication data traffic has put forward higher requirements for network performance.Heterogeneous network has become a key technology to solve this demand,and has been paid attention by academia and industry.Anisotropy of path loss leads to irregularity of base station coverage in heterogeneous networks.Integral geometry can use the circumference and area of irregular areas to perform performance analysis.In addition,the data traffic increases exponentially,the number of terminal devices increases,and the mobile speed of users increases continuously.The long transmission time and feedback time when processing massive data will greatly reduce the efficiency of data processing and result in large delay and energy consumption.At the same time,it will cause network congestion and waste network resources.Mobile edge computing and edge caching will be introduced into heterogeneous networks.Storage can better meet the needs of low latency and low energy consumption.Therefore,under the above background,this thesis carries out modeling and research based on integral geometry,the main contents of this thesis are as follows:(1)Modeling and analysis of user mobile network by integral geometry:Aiming at the irregular coverage area of base stations in heterogeneous networks,based on the mathematical method of integral geometry,the correlation between time slots in mobile scenarios is fully considered,and the coverage area of irregular base stations is analyzed.The research index is coverage probability in static and dynamic heterogeneous networks.The expressions of coverage probability in static and dynamic scenarios are obtained tYhrough analysis.Finally,the simulation results show that the increase of base station density and coverage area will lead to the increase of coverage probability,and the analysis results obtained by integral geometry are closer to the simulation results than those obtained by stochastic geometry.(2)Modeling and analysis of user mobile networks based on mobile edge computing:To solve the problem of high latency and energy consumption caused by exponential growth of data traffic,mobile edge computation is introduced in heterogeneous networks to reduce system latency and energy consumption.Based on the mathematical method of integral geometry,the average delay and energy consumption of mobile edge computation in heterogeneous networks in static and dynamic scenarios are analyzed.Finally,the simulation results verify the correctness of the theoretical analysis.The simulation results show that the average delay and energy consumption increase first and then decrease in static scenario with the increase of user density,and increase step by step with the increase of vehicle speed in dynamic scenario.(3)Modeling and analysis of network based on edge caching:Aiming at the problem of network congestion and energy consumption caused by the growth of data traffic,edge caching is introduced in heterogeneous networks to further reduce the energy consumption of the system.Based on the mathematical methods of integral geometry and stochastic geometry,the proposed edge caching scheme is introduced firstly,and then the average energy consumption of the system under the caching scheme is analyzed.Finally,simulation results show that the proposed scheme can effectively reduce the energy consumption of the system,and with the increase of base station density,the average energy consumption of the system decreases.When the base station density is constant,the average energy consumption of the system decreases first and then increases slowly with the increase of the caching capacity of SBS.To sum up,this thesis analyses the performance of mobile users in heterogeneous networks.The research results can provide reference for future research.