Density Aware Cooperative Precoding Technique for Massive MIMO Systems

Shanko Chura Aredo, Y. Negash, Y. Wondie, Feyisa Debo, Rajaveerappa Devadas, Abreham Fekadu
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Abstract

Communication via millimeter-wave (mm-wave) has grown in favor as an alternative to the existing radio mobile communication technology for providing high gigabit-per-second data speeds. Because of the millimeter wave's short wavelengths, a large number of antennas may be placed in a compacted physical dimension to make a greater aperture and obtain a substantial gain in antenna arrays. Dirty paper coding (DPC) beamforming efficiently cancels the interference that the transmitter is aware of, resulting in increased capacity, energy, and spectral efficiency of mmWave enabled massive MIMO connectivity. However, the use of this techniques leads to complexity due to successive interference cancellation at detection when the number of users grow large. In this paper, a cooperative processing based multi-user precoding is presented for down-link mm-wave massive MIMO systems and thus cooperative precoding be implicitly designed by considering the digital beamforming solution which is obtained from the dirty paper after comparing the output of linear precoding schemes. The precoders are chosen and the system total rate is calculated based on the difficulty of detections based on user densities within virtual cells. Simulation results show that the proposed approach outperforms traditional digital beamforming in terms of sum rate.
大规模MIMO系统的密度感知协同预编码技术
通过毫米波(mm-wave)通信已成为现有无线电移动通信技术的替代方案,以提供每秒千兆比特的高数据速度。由于毫米波的波长较短,可以将大量的天线放置在一个紧凑的物理尺寸中,使天线阵列的孔径更大,从而获得可观的增益。脏纸编码(DPC)波束形成有效地消除了发射机意识到的干扰,从而增加了毫米波的容量、能量和频谱效率,从而实现了大规模MIMO连接。然而,当用户数量增加时,这种技术的使用会导致在检测时的连续干扰抵消,从而导致复杂性。本文针对下行毫米波海量MIMO系统,提出了一种基于协同处理的多用户预编码方法,并在比较线性预编码方案输出的基础上,结合论文中给出的数字波束形成方案,隐式设计了协同预编码。根据虚拟小区内用户密度的检测难度,选择预编码器并计算系统总速率。仿真结果表明,该方法在和速率方面优于传统的数字波束形成方法。
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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