通信环境的复杂多样化以及频谱资源的稀缺性制约了异构无线网络的性能。本课题针对异构网络共信道部署通信环境，综合考虑感知精度要求、同层跨层干扰及资源约束等条件，研究基于认知无线电的干扰控制策略，通过设计新的异步协作频谱感知和资源分配优化方案，有效缓解层间层内干扰共存问题，进一步提升网络吞吐量和资源利用率。本课题首先采用随机几何理论对异构蜂窝网络的干扰分布特性进行多角度建模，反映其异构性，随机性以及空间相关性等，进而给出关键性能分析。在此基础上，通过引入平均信道质量因子、干扰强度因子，借鉴游程编码、D-S证据理论、聚类分析、博弈论等方面的理论和方法，结合家庭基站不同部署场景，提出低复杂度异步协作频谱感知算法和分布式资源分配算法。本课题将通过认知无线电技术优化异构网中的频谱资源配置，减少干扰，从而提高双层异构网整体容量和频谱资源的效率，为推动异构网的发展和应用提供可行途径。

The complex variety of communications environment and the scarcity of spectrumresource restrict the performance of heterogeneous wireless communication network. Aim to co-channel deployment communicating environment, the topic will synthesize the factors of sensing accuracy, inner-layer or cross-layer interference and resource constraint to research Interference control strategy based on cognitive radio. The topic will design some improved asynchronous collaborative spectrum sensing algorithms and resource allocation optimization methods to restrain inner-layer or cross-layer interference and improve network throughput and resource utilization. Firstly, the topic will adopt random geometry theory to model the interference distribution characteristic from multiple perspectives to reflect the network properties of heterogeneity, randomness and spatial correlation. Secondly, the topic will analyze the key performance parameters and calculate two important factors, that is average channel quality factor and interference intensity factor. Thirdly, the topic will present improved asynchronous collaborative spectrum sensing algorithms and distributed resource allocation methods for different Femtocell deployment scenes by using run-length coding, D-S evidence theory, game theory, cluster analysis. This topic applies cognitive radio technology to optimize resources allocation in the heterogeneous network and reduce interference, thus to improve the whole capacity and spectrum efficiency of two-tier heterogeneous network. The research results will provide feasible ways to promote the development and application of heterogeneous network.