未来移动通信系统中，多种业务并存，无线频谱稀缺，节点资源不均，网络复杂多变，用户行为各异，这些特点对当前固定分配频谱、静态设计网络、最大化配置资源的无线通信技术，提出了严峻挑战。本项目以多维度认知与协作为核心；以自适应网络环境、业务特征与用户行为，提高系统能效为目标，将深入研究：(1) 网络环境与业务需求的认知方法，研究动态网络的认知模型与自主重构方法，建模业务需求和用户行为。(2) 多维协作及其联合设计，提出端到端协作流传递方法，设计自适应业务迁移机制。(3) 能量高效的网络结构与传输方法，研究弹性资源匹配机制和节点动态接入方法。(4) 自适应网络环境与业务需求的移动传输方法，设计自适应的数据传输模型与算法，研究面向用户行为的按需服务机制和基于业务特征的差异化服务方法。本项目将形成环境适应、业务匹配、能量高效的移动认知协作通信的若干理论与关键技术，取得系统的创新成果，为国家大力发展的宽带移动战略形成有效支持。

In future mobile communication systems, multiple types of services coexist; available spectrums are sparse; different nodes have unbanlanced resources; networks are complex and dynamical; and users often exhibit different behaviors. These characters cause serious challenges to current wireless communication technologies, in which spectrums are allocated in the fixed way; networks are statically designed; and resources are configured according to the highest service level. The overall objective of this project focuses on adapting to network environments, transmission service characters and user behavior patterns, and improving system energy efficiency, based on multi-dimension cognition and cooperation technologies proposed in this proposal.. In this project, we will intensively investigate the following key issues. Firstly, we are going to study how to cognize network environments and service demands, focusing on cognition models and self-reconstruction methodology of dynamical networks, as well as service demand and user behavior modeling. Secondly, a set of multi-dimension cooperation mechanisms and joint design approaches will be proposed. Based on the multi-dimension cooperation, we also will propose the methodology for end-to-end cooperation flow transfer, and design adaptive service migration mechanisms. Next, we are going to study energy-efficient network architecture and transmission mechanisms. A set of flexible resource allocation mechanisms and dynamical access models will be explored. Finally, this project will propose environment-aware and service-adaptive mobile transmission techniques, and design adaptive data transmission models and algorithms. We also will develop on-demand service mechanisms built on user behaviors and differentiated service approaches based on service characters. This project will found a set of new theories and key technologies for environment-aware, service-adaptive and energy-efficient mobile cognitive and cooperative communications, and can deliver innovative results. These results can effectively support mobile broadband communication strategy strengthened by China and all over the world.