可再生能源（太阳能、风能等）引入移动通信网络是降低碳排放的有效手段，得到了广泛关注。IMT-A异构蜂窝网络（Hetnet）中小型基站的低功率，为可再生能源引入基站密集部署的环境（如，城市）提供了良好的应用场景。由于可再生能源在时、空上的不确定性，因此，二者结合后将构成能量状态不确定环境下的IMT-A异构蜂窝网络，为新的研究课题。为了对可再生能源基站设计与组网设计提供应用理论基础，本项目将首先基于概率方法与随机分析从系统的角度建立并分析能量状态不确定下通信基站能量行为模型。服务质量的保证是这种"开源"绿色通信技术能否实用的决定性因素。因此，本项目将进一步对单点柔性覆盖机制展开研究；然后，针对可再生能源在Hetnet大规模应用中由多能量源、多层小区所构成的随机复杂系统的优化问题，展开基于聚类分析的低复杂度柔性组网算法的研究。通过本项目研究，将为绿色通信技术提供新的应用理论基础与解决方案。

It draws great interests that wireless communication networks are powered by renewable energy from natural resources (e.g., solar, wind, and hydro) to reduce carbon footprints. Due to low rating power of small base stations in IMT-A heterogeneous cellular networks (Hetnet), Hetnet poses good opportunities of intensively deploying renewable energy to cellular networks in cities. However, the renewable energy sources and the energy buffer, which are the main parts of renewable energy power supply system, have the limitation of unstable availability and capacity. Therefore, renewable energy system applied in Hetnet will make the Hetnet under uncertain energy states, which is a new research topic. In order to provide the applied theory to the design of renewable energy powered base station (BS) and networking scheme, the project will firstly study how to construct and analyze the model of energy behavior of BSs under the uncertain energy state from the perspective of the system, on the basis of probabilistic methods and random analysis. How to guarantee the quality of service (QoS) determines whether the "open source" green technology can be applied. Therefore, this project will further study single-point liquid coverage mechanism, which aims to improve both the lifetime and renewable energy untilization of the renewable energy powered BS. In the scenario of large-scale applications of renewable energy in Hetnet, the QoS optimization problem constrained by multiple type of energy sources and complex interference relationships is in essence a random-complex optimization problem. Then, on basis of cluster analysis, liquid networking algorithm with low complexity will be studied. Through this project, a new applied theory and solutions will be provided to the green communication technology.