Multiuser antenna selection for zero forcing beamforming based MIMO OFDMA

Jianhua Zhang, Guangyi Liu, Weidong Wang
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引用次数: 3

Abstract

Multiuser Zero Forcing Beamforming (MU-ZFB) can be adopted to exploit the multiuser spatial multiplexing gain and diversity gain in downlink by spatial multiuser scheduling. On the other hand, multiuser joint subcarrier allocation can obtain multiuser diversity gain in frequency domain. In this paper, a novel joint Spatial and Frequency Proportional Fairness (SFPF) scheduler is proposed to achieve the spatial- frequency multiuser diversity gain for multiuser ZFB based MIMO OFDMA system while guarantees the multiuser fairness. To approach the spatial multiuser diversity gain, three antenna selection algorithms are proposed, optimal, random and suboptimal antenna selection and their performance is evaluated in a single cell scenario. The optimal algorithm can achieve the best performance but has the highest complexity. The random algorithm has the worst performance but the lowest complexity.
基于零强迫波束形成的MIMO OFDMA多用户天线选择
多用户零强制波束形成(MU-ZFB)可以通过空间多用户调度来利用多用户空间复用增益和下行分集增益。另一方面,多用户联合子载波分配可以在频域获得多用户分集增益。为了在保证多用户公平性的同时,实现多用户ZFB MIMO OFDMA系统的空间频率多用户分集增益,提出了一种新型的空间频率比例公平性(SFPF)联合调度方法。针对空间多用户分集增益问题,提出了最优、随机和次最优三种天线选择算法,并对它们在单小区场景下的性能进行了评价。最优算法的性能最好,但复杂度最高。随机算法的性能最差,但复杂度最低。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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