每个电信运营商都拥有2G/3G/4G/WLAN多种无线接入网络，正面对多网重叠覆盖、发展不均衡、资源浪费严重、辐射环境恶化、能量效率低下等艰巨困难，改变这种局面刻不容缓。本项目以提升多网能量效率和用户跨网服务体验为目标，提出"多网能量分布和用户业务需求相互匹配"的创新思路，研究建立基于辐射能量分布的多网信息理论，多网动态用户业务需求的理论模型，以及能效和资源优化的多网协作通信理论体系。本项目重点研究和解决以下科学问题：（1）多网辐射能量分布和网络容量的关系问题，（2）多网动态用户行为和业务需求的建模问题，（3）多网能量分布和用户业务需求的匹配问题。在技术应用层面上，本项目将设计构建能效优先的多网协作体系架构，研发保障用户服务体验的跨网动态资源管理机制，促进多种无线网络之间的资源共享、协作服务、业务融合和能效提升，为复杂多网环境下移动通信系统的设计优化和业务创新提供重要的理论依据和技术支撑。

Each telecom operator in China has multiple wireless access networks, such as 2G, 3G, 4G, and WLAN, and is currently facing some big challenges like overlapped service coverage, unbalanced network and customer developments, waste of radio resources, more complex radio propagation environments, and low energy efficiency. It is now very urgent to change this situation. The goal of this research project is to improve energy efficiency and user service experience across collaborative heterogeneous wireless networks. The key idea and new technical approach is to dynamically control and adapt the distribution of transmit energy of multiple wireless networks according to the distribution of traffic and user requirements. Specifically, on theoretical side, this research will fully investigate and establish (1) a multi-network information theory based on the distribution of transmit energy of heterogeneous wireless networks, (2) a statistic model of dynamic user requirements and traffic distribution across multiple wireless networks, and (3) an energy-efficient network collaboration theory based on dynamic transmit energy adaptation according to cross-network user requirements and traffic distribution. On technical side, this research will develop and evaluate an energy-efficient collaboration architecture for heterogeneous wireless networks, as well as a cross-network dynamic radio resource management mechanism, thus to guarantee stable service experience for users across different wireless networks. It is anticipated the research outcomes of this project will provide theoretical basis and technical guidance for the design and optimization of heterogeneous wireless networks under complex co-existence environments, and practically, promote radio resource sharing, network collaboration, service creation and energy efficiency improvement across multiple wireless networks.