Resource Allocation Algorithm Of Wireless Video Transmission

With the continuous advancement of wireless network technology and the popular-ity of smart devices,mobile streaming media services are developing rapidly.A wide variety of mobile video applications enrich people's lives,but they also bring a huge amount of traffic,which puts great pressure on wireless networks.This makes wireless resource allocation issues very important.At the same time,in the wireless network,due to time-varying characteristic of wireless channels and heterogeneity of terminals,the traditional video transmission system is difficult to meet the needs of users.There-fore,Scalable Video Coding(SVC)is introduced into the video transmission system to implement rate adaptation.However,under the strict hierarchical model of the tra-ditional computer network,the wireless resource allocation strategy usually can only optimize the throughput,and it is difficult to do more optimization for scalable video transmission.In order to solve the above problems,a cross-layer design is proposed to transmit information between the wireless base station and the video server for joint optimiza-tion.Jointly considering the wireless resource allocation problem and video streaming scheduling problem can get more room for optimization,and ultimately improve the user's satisfaction with video services.Based on the cross-layer architecture,this the-sis focuses on the scenario of multi-user transmission of scalable video for Long Term Evolution(LTE)downlink,and further studies the design of the radio resource allo-cation algorithm and the rate adaptation algorithm.The main work of this article is summarized as follows:(1)A multi-user SVC streaming transmission system for LTE network is designed.Through cross-layer design,the system can transmit cross-layer information be-tween the LTE base station and the SVC server,so that on this basis,joint opti-mization of radio resource allocation problems and rate adaptation issues can be jointly implemented,thereby achieving greater room for optimization.(2)The multi-user SVC streaming transmission system is modeled and optimized.First of all,the scene of multi-user SVC video transmission for LTE downlink is established as a mathematical model,with the video quality as the optimization goal,optimized under the same stochastic optimization problem.Then,leverag-ing the technique of Lyapunov drift and optimization,the problem is separated into two subproblems,which may be solved independently.By analyzing and solving subproblems,a low-complexity LTE resource allocation method and SVC video layer selection algorithm are finally obtained.(3)The proposed algorithm is evaluated by simulation experiments.In order to ver-ify the performance of the algorithm,an experimental simulation platform is es-tablished on MATLAB to implement the proposed algorithm and the comparison algorithm.Through comparison experiments,it is verified that the proposed algo-rithm can improve video quality,reduce interruptions,and also maintain fairness.