异构网络中基于分组的用户选择算法

发布时间：2018-06-18 01:14

本文选题：异构网络 + 跨层干扰　；参考：《哈尔滨工程大学学报》2017年05期

【摘要】：针对在无线异构网络中,跨阶层干扰影响其性能提升的瓶颈问题,本文提出了一种基于分组的用户选择算法。该算法在宏基站选定基准用户之前,先将微小区内用户所受干扰信号信道向量的方向信息作为基准,利用分组向量将所受干扰信号信道向量方向相近的用户分为一组,完成用户分组;再从各组中分别进行用户选择,使被选用户所受跨层干扰信号信道向量的方向相近,最后确定使系统性能最好的一组用户作为服务用户。复杂度分析和系统仿真比较表明,相比已有算法,算法在牺牲有限复杂度的同时,有效提升了系统性能,在复杂度与系统性能间取得了很好的折中,适用于用户分布不均匀的场景。
[Abstract]:A packet based user selection algorithm is proposed to solve the bottleneck problem that cross-class interference affects performance improvement in wireless heterogeneous networks. Before the base station selects the reference user, the direction information of the interference signal channel vector of the user in the microcell is used as the benchmark, and the users with the same direction of the interference signal channel vector are divided into a group by using the packet vector. Then the users are selected from each group to make the cross-layer interference signal channel vector of the selected user close to each other. Finally, the group of users who make the best performance of the system is determined as the service user. Compared with the existing algorithms, the complexity analysis and system simulation show that the proposed algorithm can improve the system performance at the same time of sacrificing the finite complexity, and achieves a good compromise between the complexity and the system performance. It is suitable for the scene where the user is not evenly distributed.
【作者单位】：华北电力大学电气与电子工程学院;
【基金】：国家自然科学基金项目(61601182,61302106) 河北省自然科学基金项目(F2017502059,F2014502029) 中央高校基本科研业务费专项资金项目(2016MS98)
【分类号】：TN929.5

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