面向物联网的5G MU-MIMO系统中基于关联的两阶段预编码重叠用户分组

Djordje B. Lukic, G. Markovic, D. Drajić
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引用次数: 0

摘要

在零强制预编码的多用户多输入多输出(MU-MIMO)系统中,提出了基于调整最大相关值(ou - amcv)的重叠用户分组方法。与基于容量的贪婪零强制方案相比,该方案具有更高的吞吐量和更低的复杂度。本文将oug - amcv方法与两阶段预编码技术相结合,研究了其在面向物联网的5G MU-MIMO环境下不完全3D信道估计的性能。该算法进一步提高了系统容量,降低了计算复杂度。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation-based Overlapping User Grouping with Two-stage Precoding in IoT Oriented 5G MU-MIMO Systems
Overlapping user grouping based on adjusted maximum correlation value (OUG-AMCV) has been proposed in Multi-User Multiple-Input Multiple-Output (MU-MIMO) systems with zero forcing precoding. It achieves higher throughput and much lower complexity when compared with capacity-based greedy zero-forcing schemes. In this paper we combineOUG-AMCV method with two-stage precoding technique and investigate its performance in more practical IoT oriented 5G MU-MIMO environmentwith imperfect 3D channel estimation. The proposed algorithm further increases system capacity and reduces computational complexity.
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