Digital beamforming algorithm for 5G low-SHF-band massive MIMO with intersite coordination

Shohei Yoshioka, S. Suyama, Tatsuki Okuyama, Jun Mashino, Y. Okumura
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引用次数: 5

Abstract

Massive multiple-input multiple-output (Massive MIMO) beamforming (BF) is an important technology to utilize higher frequency bands effectively. Fully-digital Massive MIMO BF can be applied for low-SHF-band, and joint processing of digital fixed BF and channel state information (CSI)-based precoding (Digital FBCP) is proposed as one of the fully-digital algorithms. Additionally, it is assumed that multiple sites with low-SHF-band cover continuous areas in the early fifth-generation (5G) mobile communication system. New BF algorithm for multi-site Massive MIMO is required to enable to transmit effectively multiple streams with intersite interference reduction. In this paper, we propose three types of Digital FBCP algorithm with intersite coordination. Throughput performances are shown by link level simulation, and we clarify that the proposed schemes can improve throughput performance compared to that without intersite coordination.
基于站点间协调的5G低高频大规模MIMO数字波束形成算法
大规模多输入多输出(Massive MIMO)波束形成技术是有效利用高频段的重要技术。全数字大规模MIMO BF可应用于低高频频段,提出了数字固定BF与基于信道状态信息(CSI)的预编码(digital FBCP)联合处理的全数字算法之一。此外,在早期的第五代(5G)移动通信系统中,假设多个低高频频段站点覆盖连续区域。多站点大规模MIMO需要新的BF算法来有效地传输多流并减少站点间干扰。本文提出了三种具有站点间协调的数字FBCP算法。链路级仿真显示了吞吐量性能,并且我们澄清了与没有站点间协调相比,所提出的方案可以提高吞吐量性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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