认知无线电中基于频谱聚合的需求改进型频谱分配算法

在认知无线电中，合理的频谱分配算法是提高频谱利用率的关键。针对现有频谱分配算法对不连续频谱的利用率较低的问题，提出一种基于频谱聚合的需求改进型频谱分配算法。该算法建立在图论着色模型的基础上，综合考虑了认知用户可用频谱的多样性、不连续频谱的可聚合性以及频谱聚合的最大范围限制等因素，并联合频谱聚合技术与用户的当前需求信息进行设计。算法提出了3种不同的标注准则，通过仿真对比了不同准则下的系统效益。结果证明，所提算法在频谱紧张、用户需求较大的认知环境下，不仅有较好的系统分配率和吞吐量，也能兼顾到认知用户间的公平性。

Spectrum allocation algorithm based on spectrum aggregation and user demands in cognitive radio

In the system of cognitive radio, spectrum allocation is the key of improving the utilization of spectrum. In order to take full advantage of discontinuous spectrum after the spectrum sensing, a spectrum allocation algorithm based on spectrum aggregation and user demands was proposed. The algorithm was depend on the group coloring model, comprehensive considered the diversity of available spectrum, the aggregation of discontinuous spectrum and the max span of spectrum aggregation, then the algorithm were designed with the spectrum aggregation technology and the current demand information of cognitive users. The algorithm proposed three different label rules and their system benefits were compared through the simulation result. The results also proved that the proposed algorithm could balance fairness among cognitive users and achieve better allocation rate and throughput when the spectrum resources were tense and cognitive user demand was large.