认知节点资源(可用信道、带宽等) 的动态性与不平衡性、节点移动性，对认知网络数据传输带来了严峻挑战。本项目以充分利用资源、优化网络性能、改善通信质量为目标，以自适应网络环境与传输需求为主线，将协作通信进行纵向与横向扩展，将认知范围从节点环境扩展到网络与应用环境，在多层次上将协作与认知有机结合，深入研究移动协作认知网络数据传输理论与方法。主要研究：(1)多层次协作通信模型与方法，通过各个网络层次上的协作，以单节点跨层设计与多节点协同思想，充分使用各种网络元素；建立需求驱动的协作流传递机理。(2)多维度认知模型以及协作与认知的交互机制，为智能数据传输奠定理论基础。(3)联合多层协作、拓扑控制的数据传输方法，通过自主网络重构与联合设计，建立需求驱动的自适应数据传输与网络优化模型。本项目将形成全新的移动协作认知网络智能数据传输若干理论与关键技术，取得系统前沿的创新成果，为宽带移动通信形成有效支持。

Data transmission in mobile cognitive networks is seriously challenged by dynamic and unbalanced resources among cognitive nodes and node mobility. The overall objective of this project is to make full use of network reousrces, optimize network performance and improve communication quality. Focusing on the adaptability to dynamical network environment and quite different transmission requirements, we extend cooperative cummunication technologies in both vertical and horizontal dimensions, and expand cognition targets from traditional node level to network and application levels, together with combining these two technologies efficiently. .In this project, we will intensively investigate theories and techniques on data transmission in mobile cooperative-cognitive networks as follows. Firstly, we are going to study and establish models and techniques of multi-layer cooperative communication, where we apply the cooperation to each layer in the network model, to fully use various network elements based on both cross-layer design in a single node and transmission cooperation among multiple nodes. Mechanisms for demand-driven cooperation flow promulgation will also be set up. Seccondly, we will propose extended multi-dimension cognition models, and mechanisms to inter-drive among the multil-layer cooperation and the multi-dimension cognition, laying the foundation for intelligent data transmission. Thirdly, a set of data transmission techniques will be developed through adaptive network reconstruction, based on joint multi-layer cooperation and topology control. In this stage, we will set up demand-driven adaptive data transmission techniques and network optimization models. In conclusion, this project will found a set of new theories and key technologies of intelligent data transmission for mobile cooperative-cognitive networks and can deliver innovative results with high impact. These results can effectively support and are widely applied to emerging broadband mobile communication.