[1]袁怡圃,江丽.大规模MIMO系统低复杂度1位量化预编码算法[J].泉州师范学院学报,2020,(02):66-72.
 YUAN Yipu,JIANG Li.Low Complexity 1 Bit Precoder Design for Massive MIMO System[J].,2020,(02):66-72.
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大规模MIMO系统低复杂度1位量化预编码算法()
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《泉州师范学院学报》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2020年02期
页码:
66-72
栏目:
物理·信息技术
出版日期:
2020-04-15

文章信息/Info

Title:
Low Complexity 1 Bit Precoder Design for Massive MIMO System
文章编号:
1009-8224(2020)02-0066-07
作者:
袁怡圃1江丽12
1.泉州师范学院 物理与信息工程学院,福建 泉州 362000; 2.安徽大学 电子信息工程学院,安徽 合肥 230000
Author(s):
YUAN Yipu1 JIANG Li12
1.School of Physics and Electronic Information Engineering,Quanzhou Normal University,Quanzhou Fujian 362000, China; 2.School of Electronic Information Engineering,Anhui University,Hefei Anhui 230000,China
关键词:
大规模MIMO 1位量化 建设性干涉 低复杂度
Keywords:
massive MIMO 1 bit quantization constructive interference low complexity
分类号:
TN929.53
文献标志码:
A
摘要:
在基站端使用低精度的数模转换器是目前解决大规模多输入多输出(MIMO)系统高成本高功耗的有效方案之一.在此系统结构下,粗糙的量化产生的量化误差对高性能预编码器的设计带来很大的挑战.研究采用1位数模转换器的大规模MIMO下行传输系统的预编码设计问题,聚焦于采用多进制相移键控(MPSK)调制的传输系统.基于建设性干涉的思想,文章提出一种低复杂度非线性预编码算法,该算法在传统1位量化迫零(ZF)预编码的基础上进行低复杂度非线性处理.计算机仿真结果表明所提算法具有优越的性能.
Abstract:
Massive MIMO systems have encountered the problem of high hardware complexity and huge power consumption.One effective solution is to use low-cost and power-efficient hardware components such as low resolution digital-to-analog converters(DACs).However,the quantization error caused by the coarse quantization brings great challenges to the design of high-performance precoder.In this paper,we investigate the problem of the precoder design in massive MIMO systems using 1 bit DACs and focus on down link transmission for MPSK modulation.Based on the idea of constructive interference,a low complexity nonlinear precoding algorithm is proposed.Computer simulation results show validate the effectiveness of the proposed algorithm.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2019-07-24
作者简介:袁怡圃(1979-),男,福建厦门人,讲师,博士生,从事无线通信、信号处理等研究.
基金项目:福建省中青年教师教育科研项目(JAT170470)
更新日期/Last Update: 2020-04-15