日益增长的空间信息传输需求和受限的网络传输能力之间的严重不对称性，是制约空间信息网络发展的瓶颈问题，而空间节点和链路的动态特性及大时空跨度，为空间信息网络的容量分析和优化增加了困难。鉴于此，本项目在对空间网络动态拓扑特性进行准确数学描述的基础上，深入研究基于网络编码的空间动态网络传输机制和资源分配方法。首先，考虑空间节点运动规律和链路特点，建立适合空间动态网络的容量分析模型；然后，在网络编码理论框架下，以空间信息传输流程为线索，以容量优化为牵引，研究编码感知的空间动态网络路由和资源分配技术；最后，构建系统级仿真平台以验证整体性能。本项目旨在充分挖掘网络编码理论在提高链路利用率和平衡网络负载等方面的优势，并突破与空间动态拓扑特性相适应的关键技术，以期在不增加节点数量和网络资源的情况下，有效提高空间动态网络的传输服务能力，为下一代高动态、大容量的空间信息网络的建设提供一种有价值的参考方案。

The high asymmetry between the increasing transmission demands for space information and the limited network transmission capacity is a technical bottleneck restricting the development of space information networks. Moreover, the dynamic character and large space-time span of space nodes and links bring more difficulties for the capacity analysis and optimization of the space information networks. In view of this, this project will make a deep research on the network-coding-aware transmission capacity optimization methods for space dynamic networks based on accurate mathematical description of its dynamic topological characteristic. On considering the motion laws of the space nodes and the characteristic of the space links, the capacity model suitable for space dynamic networks will be established firstly. And then, following the thread of the space information transmission process and leading by capacity optimization, the coding-aware routing and resource allocation technologies of space dynamic networks will be studied under the framework of network coding theory. Finally, the system-level simulation platform will be constructed to validate the systemic performance. By fully exploiting the essential advantages of network coding theory in improving link utility and balancing network load, and solving the key techniques suitable for the dynamic-charactered space information networks, this project aims at effectively improving the transmission capacity of space dynamic networks and accordingly providing a valuable reference scheme for the next generation high-dynamic and large-capacity space information networks.