基于重叠分簇的联合预编码方案设计

论文提出了一种重叠簇模型，并针对该模型的特点，设计了-种联合迫零-汤姆林森-哈拉希玛预编码(ZF- THP)算法；分析了现有分簇算法存在的两个问题，并针对每个问题采用基于重叠分簇的联合预编码技术设计了两种解决方案:一是抑制簇间干扰方案；二是协同度不对称下的重叠分簇方案。仿真表明，所提方案能够很好地解决分簇存在的问题，提高传统分簇算法的系统频谱效率，并改善局部用户的公平性能。

Joint Precoding Scheme Based on Overlapped Clustering Model

A joint precoding algorithmZero Force-Tomlinson-Harashima Precoding (ZF-THP) algorithm is proposed based on overlapped clustering model. Then, two problems in existing clustering scheme are investigated and corresponding resolutions are designed by employing the ZF-THP algorithm: one is an inter-cluster interference mitigated scheme; the other is an overlapping clustering scheme under the condition of asymmetry of Degree Wiliness to Cooperate (DWC). Simulation results show the scheme proposed performs better than other conventional clustering algorithm in the system spectrum efficiency, and enhances the capacity of partial users fairness.