第五代(5G)移动通信网需要大幅度提升网络容量并减小能耗。密集异构Macro-femto蜂窝网络由室外宏基站实现广域覆盖，密集部署的家庭基站（FBS）提供室内高速无线移动业务，是5G移动通信网采用的主要网络架构。随着FBS的大规模部署，其能量消耗将愈显突出。在密集异构Macro-femto蜂窝网络中，由于FBS大量随机部署、重叠覆盖，解决其能效优化问题具有较强的挑战性。在密集异构Macro-femto蜂窝网络中，FBS的部署策略，FBS的协同自适应休眠方法，移动用户同MBS/FBS的动态关联策略，以及FBS协同功率控制算法是影响网络能量消耗的四个相互关联的关键技术，本项目从这四个方面开展系统深入研究，拟解决密集异构Macro-femto蜂窝网络能效优化的部分理论和技术问题，有望产生原创性研究成果，推动绿色无线移动通信技术的发展和应用。

The challenges faced by the fifth-generation (5G) cellular network include increasing the network capacity and reducing energy consumption. The dense macro-femto heterogeneous network (HetNets) is a dominant architecture of the 5G cellular network, where macro base stations (MBSs) provide outdoor wide area coverage and femto base stations (FBSs) perform high data rate indoor mobile services. With the huge deployment of FBSs, the overall energy consumption of dense macro-femto HetNets will no doubt increase rapidly. As a result, it is critical and extremely worth investigating energy efficiency optimization issue in dense macro-femto HetNets. However, this issue is not trivial and indeed challenging since many FBSs may be randomly deployed and overlaid with each other. The present proposal plans to study basic theories and key techniques for energy efficiency optimization in dense macro-femto HetNets including: 1) energy-efficient deployment mechanisms of FBSs; 2) collaborative and coordinated sleeping management for FBSs; 3) adaptive mobile user association with MBSs and FBSs; and 4) collaborative and dynamic power control algorithms for FBSs. These research items will generate inventive solutions and promote the research, development, and applications of green mobile networks.