基于频谱分布不均衡的协作通信机制研究

In collaborative cognitive networks, since the nodes are widely scattered, it is extremely easy to occur the asymmetrical spectrum holes (ASH) phenomenon, which is difficult to simply apply the traditional collaborative transmission mechanisms. The academia has carried out some research on resource allocation, however, the achievements are relatively poor and the research is insufficient. The project is aimed at large-scale nodes transmission mechanisms under the asymmetrical spectrum holes (ASH) phenomenon. Firstly, aggregate the nodes to form multiple clusters according to the spectrum holes information, node connectivity, rate of movement, distance and other parameters. Then, cognitive nodes in the clusters propose resource allocation schemes with user fairness guarantee by the means of game theory, while between the clusters make a joint optimization combining the nodes topology and spectrum holes to select a favorable relay node, especially the partially decentralized nodes selection among the multiple sources and clusters. Finally, achieve the collaborative cognitive network information transmission with low complexity and efficiency. The achievements of the project will provide theoretical foundations for further promoting collaborative cognitive network, and provide reasonable operating mechanisms for the co-existence of co-channel multi-network multi-service, and also provide technical support for spectrum management institutions to develop a new spectrum allocation policy.

协作认知网络中，由于节点分布广泛，极容易出现频谱空洞分布不均衡（ASH）现象，传统的协作传输机制很难简单照搬应用。目前学术界对此类网络的资源分配问题开展了一定研究，成果相对较少，研究不够充分。本课题拟对ASH下的大规模节点传输机制开展研究。首先根据频谱空洞信息、节点的连通度、移动速度以及与节点之间的距离和等参数对节点进行分类聚合，形成多个簇，然后再簇内组成的认知节点运用博弈论的思想给出具有用户公平性保证的资源分配方案，而在簇间则联合节点拓扑和频谱空洞联合优化，选择最合适的中继节点，特别是对多源多簇进行半分布式节点选择，最终实现具有低复杂度和高效的认知协作网络的信息传输。本课题的成果将为进一步推动协作认知网络研究提供理论基础，为同频段的多网络多业务共存提供合理的运营机制，为频谱管理机构开拓新的频谱分配政策提供技术支持。

本项目对存在频谱空洞的认知无线网络节点传输机制开展研究，在宽带认知无线电的频谱检测技术、中继协作传输与调度技术和Massive MIMO信号处理技术三个方面取得较好研究进展：提出了基于似然函数估计以及基于多级维纳滤波器结构改进MDL准则的宽带频谱感知算法，极大提高了频谱空洞的检测性能；提出了联合天线模式选择和功率控制的中继选择算法和基于进化博弈论的网络接入选择算法，提高了频谱不平衡时的中继协作传输能力；提出了多小区Massive MIMO网络广义条件迫零预编码算法以及Massive MIMO通信系统中的高能效天线选择算法，提高了频谱传输效率。.上述的认知无线电频谱检测算法已应用于国家电网230Mhz频段的电力无线专网通信，本项目的研究成果将为进一步推动协作认知网络研究提供理论基础，为同频段的多网络多业务共存提供合理的运营机制，为频谱管理机构开拓新的频谱分配政策提供技术支持。