协作频谱感知是认知无线电网络的关键技术之一。目前大多数研究成果以同构频谱环境为研究背景，不能适应下一代（5G）移动通信所要求的全网融合异构频谱环境。然而，现有的无线异构网络模型并不完善，对异构网络中的网络类型、信号形式以及信道噪声和综合干扰等因素的影响考虑不足，并且异构网络给一些企图进行安全攻击的认知节点形成了更复杂隐蔽的环境，这就使异构网络中的频谱可信感知面临新挑战。因此，建立多频谱、多制式和宏微协同网络中的频谱感知模型，设计高效、可信的协作频谱感知方法是本项目需要解决的关键问题。本项目综合了能量检测和信号特征检测的频谱感知方法，提出基于认知节点置信度的协作频谱感知技术。将为下一代移动通信的无线异构网络中认知无线电的频谱感知及安全提供新思路、新方法，为认知无线电在异构网络中的应用问题提供技术支撑。

Collaborative spectrum sensing is one of the key cognitive radio networks technologies. Most of recent researches are based on the isomorphic spectrum environment, which can not be used in the wireless heterogeneous network (WHN) of the 5th generation mobile communication systems: so-called the whole-network-integration system. However, since the existing WHN model is not so accurate for studying, the type of network for WHN, the signal pattern and the channel noise with coexisted interference have not been well studied. Moreover, WHN provides more complex concealed environment for the potential security attack, which brings more challenges to the dependable spectrum sensing in WHN. In this research topic, the spectrum sensing model for multi-spectrum-band, multi-type and macro-micro-cooperative-station WHN cognitive radio systems with the typical channel interference model will be built. Based on confidence level theory, new signal feature detection method will be studied with conventional energy detection method using dependable collaborative sensing methods. All the above works will further give help to provide theoretical basis and analysis methods for spectrum sensing and security of WHN cognitive radio in the next generation mobile communications.