基于多终端协同的高清视频多流并发自适应传输控制方法

An Adaptive Concurrent Control Method for High Definition Video Transmission Based on Multi-Terminal Cooperation

针对高清视频在异构无线网络中以多流并发的方式进行传输,以提高传输速率,从而增强用户体验的问题,以最小化系统传输时延以及各路径间时延差为优化目标,联合考虑了视频发送端和接收端,自适应调整视频发送速率和接收端缓存大小以提高用户体验,建立了异构无线网络中视频多流并发传输的控制模型,并基于Pareto分布和P/P/1排队理论对具有自相似性和长相关性的视频流进行了研究,推导了并发传输系统的时延统计特性,并在此基础上提出了一种异构无线网络视频流自适应分流决策方法。仿真结果表明,与一般的负载均衡分流决策方法相比,提出的异构网络多流并发自适应传输控制方法在时延和分组丢失率方面都有一定的优越性。

For the purpose of solving the problem of controlling video traffic concurrent transmission in heterogeneous wireless networks to improve quality of experience （QoE）, a video traffic concurrent transmission control model in heterogeneous wireless networks was built, which aimed at the minimization of the system transmission delay and the jitters. Then to solve the optimization problem, an explicit adaptive traffic allocation scheme was proposed. In order to closely simulate the network traffic, the video traffic with self-similarity and long-range dependence was modeled by using Pareto distribution and P/P/1 queue theory to obtain the delay of concurrent transmission system. At the same time, this model jointly considered the sender and receiver for adaptive adjusting buffer size and send rate in order to improve the user＇s experience. Simulation results show that, compared with commonly used traffic allocation scheme for load balancing, the proposed scheme has some advantages in aspects of delay and packet loss rate.