Research On Data Transmission Tecnology Of Integrated Access Network

With the rapid development of network technology,3G,4G,5G NR,WiFi,and other wireless access networks are deeply integrated.The mobile terminal is also equipped with multiple radio access technologies.How to use multiple wireless access technologies to aggregate bandwidth and improve service quality has attracted the attention of many researchers.Among them,parallel transmission is the most promising technology,and it is also the most widely studied technology.The research on parallel transmission technology mainly has the following three key problems to be solved: 1)how the sub-flow decoupled by the transmission control protocol makes routing decisions and rate control in the network;2)the limited endurance of the mobile terminal in this case,how to ensure high energy efficient data transmission under the activation of multiple wireless interfaces;3)How to implement efficient data scheduling technology for multiple sub-flow,thereby reducing the number of data packet out-of-order and data packet retransmission,and improving parallel transmission Effective throughput.Focusing on the above three issues,this thesis has carried out the following three aspects of research,as follows.As for the first problem,this thesis studies the joint routing and rate control decision of parallel transmission in the third chapter.For the study of parallel transmission routing problem,this thesis is divided into two parts: 1)to establish an optimization model to maximize the throughput efficiency of the converged access network parallel transmission system;2)to solve the joint routing and rate control decision using the second-order primal dual method problem.Finally,the performance of the second-order primal dual method and the first-order primal dual method in convergence speed and time delay are compared by simulation.As for the second problem,this thesis studies: 1)energy efficient split strategy based on Lyapunov optimization;2)direct congestion control algorithm based on energy efficient split ratio.The relationship between energy efficient at the receiving end,effective throughput,packet transmission delay and receive buffer,delay,and the packet loss rate is simulated.The simulation results show that the proposed energy efficient congestion control method has a better throughput,delay,and energy efficient.As for the third problem,this thesis proposes: 1)adaptive round-trip delay estimation model based on discrete-time Markov chain,state transition probability estimation model,average throughput estimation model,sub-flow scheduling optimization model;2)binary artificial bee colony differential evolution(Binary Artificial Bee Colony with Differential Evolution,BABC-DE)based optimal sub-flow selection method.The simulation results show that the proposed algorithm outperforms the traditional data scheduling method in terms of throughput,delay,packet loss,and retransmission.