Research On The Robustness Of Mobile Communication Systems Based On Network Modeling

Nowadays,people can get access freely in the daily life to the Internet,the rapid development of mobile communication provide people with unprecedented convenience for their communications with each other.Mobile communication systems are becoming more and more complex in order to provide faster communication service,and therefore it is becoming increasingly difficult to analyze and predict the potentially unstable factors that the system may have.A stable and robust communication system is not only about the stability of daily communication,but also concerns the security of the country.Therefore,it is very important to study the stability of communication network.In this thesis,the stability of complex communication system is studied.The method is to model the complex communication systems into the form of complex networks.The stability of mobile communication network is discussed through theoretical analysis and experimental simulation.The main contents of this thesis are as follows.1)This paper briefly introduces the main development course of mobile communication technology,analyzes the relationship between the current large data age and mobile communication network,points out that complex network science is the basic theory of large data science,clarifies the relationship between complex communication system and complex network,The importance of studying the stability of communication networks and its significance are illustrated.Because this thesis mainly studies the stability of complex communication system,and the means is to model complex communication systems into complex networks form,so afterward this thesis introduced the basic knowledge of complex networks,including complex network representation,the graphs of complex networks,the basic measures of the structures of complex networks,and the research progress of the complex network robustness research at home and abroad is also given.2)After introducing some relevant bedding knowledge,to study the robustness of complex networks we need to study some of the commonly used null models of complex networks because these null models are the basic models for studying the structural characteristics of complex networks.To this end,the paper describes in detail several commonly used network empty model and the corresponding generation algorithms are given.Secondly,the paper focuses on the analysis of the node degree distribution of each network null model,and gives the concrete theoretical derivation from the mathematics for their degree distribution functions.3)After deducing the degree distribution functions of nodes in different network null models,the thesis presents a general theory framework for analyzing the robustness of the network based on the degree distribution of the network,and gives the probabilistic prediction of robustness analysis of different network null models.Then the thesis strictly derives the critical value of the robust phase transition corresponding to each network null model.Finally,the thesis tests the robustness of different network null models with a lot of simulation experiments.The experiments prove the correctness of the theory of robustness analysis proposed in this thesis.