OFDMA下行网络中具有决策树分类的网络MIMO

Ling Zhang, Shenghua He, X. Wen, Wei Zheng, Jun Zhao, Zhiqun Hu
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引用次数: 0

摘要

提出了一种大型蜂窝MIMO网络间的协调策略。JDFR-BDGMD(联合动态频率保留和块对角化预编码与几何平均分解预编码方案)采用聚类线性预编码和动态频率保留技术,极大地减轻了OFDMA下行网络中的簇内干扰和簇间干扰。此外,协调基于决策树分类,将用户分为协调用户和非协调用户。值得注意的是,我们从系统可用资源中为协调用户选择了基于容量的子通道。最后,采用功率均等分配算法进行功率分配。仿真结果表明,该方案能显著提高多小区网络的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network MIMO with decision tree classification in downlink OFDMA networks
A coordination strategy among a large cellular MIMO network is presented in this paper. With clustered linear precoding and dynamic frequency reservation techniques, JDFR-BDGMD (Joint Dynamic Frequency Reservation and Block Diagonalization precoding with Geometric Mean Decomposition precoding scheme) greatly mitigates intra-cluster interference as well as inter-cluster interference in the downlink OFDMA networks. Furthermore, the coordination is based on decision tree classification which categorizes users into coordinative users and non-coordinative users. It is noteworthy that we pick a capacity-based subchannel from system available resources for coordinative users. Finally, an equal power allocation algorithm is utilized to distribute power. Simulation results show that our proposed scheme can significantly improve the performance of multi-cell networks.
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