无线通信系统配备可再生能源是未来移动通信的发展趋势，然而能量收集的随机性及因果特性将影响系统性能。本项目关注基于能量收集的多天线无线协作系统中多用户能量协作，协作预编码设计，及安全的协作传输策略问题，目的是通过凸优化技术，马尔科夫决策过程，半正定规划等技术，探索用户间的能量共享准则，设计信息与能量协同传输的预编码方案,研究系统安全速率与能量收集的关系。内容包括:(1)针对多用户通过中继共享能量的协作网络,提出具有因果关系的能量协作准则及资源分配策略,保证用户服务质量。(2)针对信息与能量协同传输的多天线协作系统，利用半正定规划技术设计优化的预编码，协调中继的信息接收与能量收集，提升系统效率。(3)针对支持多工作模式的多天线协作网络，通过设计结构化的预编码及优化的中继选择,保证能量传输效率,最大化系统安全速率.本课题可促进基于能量收集的无线网络中相应理论和技术的发展，为绿色通信研究提供参考。

The wireless communication system with renewable energy is the future development trend of green mobile communications. However, the randomness and causal characteristics of renewable energy harvesting will affect the system performance significantly. The project will focuse on energy cooperation among multi-users, coordinated pre-coder design and cooperation transmission strategy design with physical-layer security consideration issues in multi-antenna wireless cooperation sysytem with energy harvesting. Through using convex optimization techniques , Markov decision process ,semi-definite programming technology, it is proposed to investigate optimal energy sharing criterion among multi-users, design the optimal cooperation pre-coder, and analyze the relationship between the system security rate and energy harvesting. The main contents include : ( 1 )For relay assisted multi-user energy cooperation network, causal energy cooperation criterions and resource allocation strategy are proposed to gurantee the quality of users’ service. ( 2 )For the multi-antenna cooperation system with simultaneous information and power transfer, it is proposed to adopt semi-definite programming technology to design optimal pre-coder. It can balan the information reception and energy harvesting at the relay node to enhance the system performance. ( 3 ) for multi-atenna cooperation network which supporting multi-operation mode, optimal structured precoding and optimal relay selection schemes are investigated. They can gurantee the efficiency of power transfer and maximize the system security rate. This project can promote the development of energy harvesting wireless network theory and techniques , provide a reference for green communications research.