A Stochastic Network Calculus Approach For The Wireless Network Performance Analysis Of Device-to-device Communication Based On High-speed Railway Emergency Scene

In recent years,China is at the peak of the construction of high-speed railways.With the dense deployment of passenger dedicated lines,although the railway capacity is greatly reduced and the operating mileage ranks first in the world,the importance of driving safety is becoming more and more popular.At present,the train speed of most high-speed railways in China has reached 350km/h,which has higher requirements for the safety and reliability of high-speed railway operation,and the high-speed railway emergency Device-to-device(D2D)communication which as a train safety guarantee mechanism has become one of the research hotspots at the present.This dissertation proposes the use of stochastic network calculus to evaluate the performance of wireless network in D2D communication under high-speed rail emergency scenarios from the perspective of the special scene of high-speed railway for wireless communication system performance.Firstly,the theory of stochastic network calculus based on Moment Generating Function(MGF)and Complementary Cumulative Distribution Function(CCDF)are analyzed and compared and the advantages and disadvantages of the two are summarized and the appropriate theoretical methods are selected for different research objects.The high-speed rail D2D emergency communication system is divided into two parts according to the information transmission sequence of the train control service:the vehicle-ground wireless communication system and the base station-base station wireless multi-hop communication system.According to the characteristics of the data transmission cycle of the column control data and according to the attribute of the transmission period of the column-controlled data service in the vehicle-ground communication,the corresponding periodic source model and stochastic arrival curve model are established.According to the high-speed railway moving process and data rate process,combined with the multi-dimensional finite state Markov channel model,the vehicle-ground wireless communication channel service model and the stochastic service curve model are established.Basing on the node series characteristics of CCDF-based stochastic network calculus,a base station-base station wireless multi-hop communication channel model is established,and a stochastic service curve model is obtained.Finally,basing on the established service arrival model and channel service model,the theoretical boundary of network performance such as vehicle-to-ground wireless communication and base station-base station wireless multi-hop communication delay is solved by using the stochastic network calculus theory based on MGF and CCDF.The simulation results analyze and verify the theoretical results.The results also prove that the stochastic network calculus can well evaluate the performance of the high-speed rail D2D emergency communication network.