认知异构网络下基于混杂控制理论的海量视频流传输性能优化模型的研究

With the rapid development of China's "Triple Play" , the future network is bound to be heterogeneous. And video services to provide users with seamless satisfaction will be the important challenges that the future network development has to be solved. Although the video coding standard appeared in succession, but the video stream must be transmitted by the multipath fading wireless channels and congestion delay multi-networks. This project is to address the massive video streams in cognitive heterogeneous network of reliable and efficient transmission problems, its dynamic characteristics and the optimization algorithm that has a very important theoretical significance and application value. Understanding from the perspective of the network control system, Cognitive Heterogeneous Network is a hybrid system with continuous and discrete dynamic behavior. We suppose an interconnection heterogeneous network including the MIMO wireless cellular network, MIMO-WLAN and Internet, and learn from the two-dimensional continuous - discrete hybrid control theory. We propose the mass streaming video cognitive heterogeneous network fluid model for the available combination of spectrum resources and network resources, a dynamic equilibrium point of the network model of two-dimensional s-z domain stability theorem, seeking to ensure that the conditions of mass streaming video end-to-end congestion control. And we will propose the rate - power - delay optimal control algorithm of collaborative optimization of spectrum resources and network resources.

随着我国"三网融合"的快速推进，未来必然呈现异构网络融合的局面，为用户提供无缝满意的视频业务，这是未来网络发展亟待解决的重大问题。虽然视频编码标准相继出现，但是视频流必须面对多径、衰落的无线信道和拥塞、延迟的多制式网络。本课题为解决海量视频流在认知异构网络的可靠有效传输问题，深入研究其动力学特征及其最优化算法，具有重要的理论意义和应用价值。从网络控制系统的角度理解，认知异构网络是一个混杂系统，具有明显的连续和离散动态行为。本课题以采用MIMO技术的无线蜂窝网络和WLAN同Internet互连构成的认知异构网络为研究对象，利用二维连续-离散的混杂控制理论，结合了频谱资源和网络资源的跨层优化管理技术，研究了海量视频流的认知异构网络的流体模型，提出动态平衡点处的二维s-z域稳定性判定定理，寻求保证海量视频流端到端传输的拥塞控制条件，提出"速率-功率-时延"协同优化资源的最优控制算法。

随着我国“三网融合”的快速推进，未来必然呈现异构网络融合的局面，为用户提供无缝满意的视频业务，这是未来网络发展亟待解决的重大问题。虽然视频编码标准相继出现，但是视频流必须面对多径、衰落的无线信道和拥塞、延迟的多制式网络。本课题为解决海量视频流在认知异构网络的可靠有效传输问题，深入研究其动力学特征及其最优化算法，具有重要的理论意义和应用价值。从网络控制系统的角度理解，认知异构网络是一个混杂系统，具有明显的连续和离散动态行为。本课题以采用MIMO技术的无线蜂窝网络和WLAN同Internet互连构成的认知异构网络为研究对象，利用二维连续—离散的混杂控制理论，结合了频谱资源和网络资源的跨层优化管理技术，研究了海量视频流的认知异构网络的流体模型，提出动态平衡点处的二维s-z域稳定性判定定理，寻求保证海量视频流端到端传输的拥塞控制条件，提出“速率—功率—时延”协同优化资源的最优控制算法。