Modeling And Congestion Control Method Of Communication Network Based On State Feedback

With the development of information technology,the mobile communication industry has more and more users.In this "Intelligent Era",the communication network must develop and optimize with the times to meet the needs of people in a variety of communication scenarios.Throughout the development of China's communication industry,1G is the era of blank,2G is the era of follow-up,3G is the era of participation,4G is the era of catch-up,5G is the leading era.In 2019,the official arrival of 5G era makes China's communication industry reach a new height.The emergence of wireless network breaks through the limitation of traditional wired network in distance,realizes high-speed and long-distance information transmission,and solves the demand that many wired networks can't realize.However,the contradiction between people's demand for information transmission and the unbalanced and inadequate development of actual communication network is increasingly apparent.The fast,stable and low-power network is to ensure the stability of 5g era An important factor in the coming.In this paper,the computer network and wireless communication network are studied.Compared with the existing research,the model is improved,and the appropriate controller is designed by different control methods.The research content of this paper can be divided into the following aspects:(1)This paper focuses on dealing with the nonlinearities in network congestion control.The nonlinearities are reflected in time-varying perturbations in the state and delayed state with unknown bounding coefficients,which have not been considered in the existing congestion control methods.A new system model is established for networks with unmatched nonlinearities,uncertainties and time-varying delays,and a new state feedback congestion controller is designed based on adaptive control.Finally,the stability and the performance of the closed-loop system are validated via a new Lyapunov-Krasovskii functional and linear matrix inequality.The effectiveness and feasibility of the proposed congestion controller are verified through simulations.(2)This paper focuses on multiple time delays in congestion control for networks,which is seldom considered in the literature.A new mathematical state-space model for networks with different state and input time delays is established,a compensation algorithm for multiple time delays is presented.An optimal tracking algorithm is obtained and the optimal control law is derived by solving the matrix Riccati algebraic equation.The effectiveness of the proposed algorithm is verified through simulations.(3)In order to deal with the multiple time delays,a new robust power and rate control algorithm is presented.The focus is the modelling and dynamics analysis of the power and rate control system,and a new mathematical model is established for power and rate control system with multiple time delays.The model contains time delays which are not only in rate control but also in power control and not only in system state but also in control input.Based on the new model,a robust power and rate controller is designed by using predictive control approach and linear matrix inequality.Simulation results verify the effectiveness of the proposed controller.According to the complexity of different models,in the second,third and fourth chapters,different control methods are used to study the problem of communication network system.Finally,the effectiveness of the control algorithm is verified by simulation.