Research And Performance Analysis Of Two-stage Access Control Scheme Based On Large-Scale M2M Traffic

The fifth-generation mobile communication(5G)that will be commercialized is mainly used in ultra-dense networking.This means that in the entire 5G network,there will be a large number of devices connected at the same time,so that to a certain extent,the blueprint for building the Internet of Everything can be realized.In other words,the M2M(Machine to Machine)communication will be the 5G communication subject.And M2 M communication is indispensable in 5G networks.The hot issue needs to be solved urgently in M2 M communication is the network overload caused by massive device access.Because the network overload will cause the communication quality to decrease.In order to solve the M2 M communication problem in the future 5G network,it is necessary to control the massive M2 M devices that are accessed.According to the research of the previous access control strategy,a two-stage ACB(Access Control Barring)strategy based on different algorithms to solve the overload problem is proposed in this thesis.Firstly,the feasibility and accuracy of the one-stage heuristic ACB scheme in M2 M communication are verified on the simulation platform based on S-ALOHA(Slotted ALOHA)protocol,and the corresponding performance analysis is done.The semi-distributed algorithm instead of the heuristic algorithm is used for the first-stage ACB scheme for the first-stage ACB scheme,and the accuracy of the theoretical analysis of the throughput and delay of the scheme was verified by using the MATLAB simulation software.At the same time,the performance of the one-stage heuristic ACB scheme and the one-stage semi-distributed ACB scheme are compared.It is verified that the system performance of the one-stage ACB scheme based on semi-distributed algorithm is better than that of the one-stage ACB scheme based on heuristic algorithm.Secondly,on the basis of the theory of the two-stage ACB scheme of M2 M communication,the heuristic algorithm was applied in the first-level ACB check,and the perfoamance of the system was verified by using MATLAB simulation software whose system performance is better than that of the first-stage ACB scheme based on heuristic algorithm.Based on the two-stage heuristic ACB scheme,the two-stage semi-distibuted ACB scheme is proposed.The semi-distributed algorithm was used in the first-level ACB check,and the MATLAB simulation software was also used to verify the system performance better than the first-stage ACB scheme based on semi-distributed algorithm.At the same time,this paper verified the system performance of the two-stage ACB scheme based on semi-distributed algorithm whose system performance is better than the two-stage ACB scheme based on heuristic algorithm.Finally,based on the two-stage heuristic ACB scheme and the two-stage semi-distributed ACB scheme,the improvement and optimization of the two-stage ACB scheme are proposed.The LARA(Learning Automaton Random Access)algorithm is used to accurately update the second-level control factor of the two-stage ACB scheme,so as to achieve the purpose of improving system performance.The simulation verifies the feasibility of the improved two-stage heuristic ACB scheme and the improved two-stage semi-distributed ACB scheme and analyzes the corresponding performance.Simultaneously,the effects of the two improved schemes are simulated and compared,and the improved two-stage semi-distributed ACB scheme is optimal.