大规模MIMO系统中低复杂度的码本搜索方法

doi:10.11959/j.issn.1000-436x.2019009

通信学报 ›› 2019, Vol. 40 ›› Issue (1): 79-86.doi: 10.11959/j.issn.1000-436x.2019009

大规模MIMO系统中低复杂度的码本搜索方法

刘剑飞,何利平,陶颖,刘迪,曾祥烨,王蒙军

河北工业大学电子信息工程学院，天津 300401

修回日期:2018-08-01 出版日期:2019-01-01 发布日期:2019-02-03
作者简介:刘剑飞（1968- ），男，河北献县人，博士，河北工业大学教授，主要研究方向为无线通信与光通信技术及其信号处理。|何利平（1992- ），女，河北廊坊人，河北工业大学硕士生，主要研究方向为面向 5G的大规模MIMO预编码技术。|陶颖（1991- ），女，河北承德人，河北工业大学硕士生，主要研究方向为面向5G的大规模MIMO预编码技术。|刘迪（1997- ），女，天津人，主要研究方向为5G网络中的预编码技术。|曾祥烨（1979- ），男，河北邢台人，博士，河北工业大学副教授，主要研究方向为光纤通信与无线通信系统。|王蒙军（1978- ），男，河北清苑人，博士，河北工业大学副教授，主要研究方向为电磁兼容与信号处理。
基金资助:
天津市自然科学基金资助项目(15JCYBJC17000);河北省高等学校科学技术研究重点资助项目(ZD2017021)

Low complexity codebook search method in massive MIMO system

Jianfei LIU,Liping HE,Ying TAO,Di LIU,Xiangye ZENG,Mengjun WANG

School of Electronic and Information Engineering,Hebei University of Technology,Tianjin 300401,China

Revised:2018-08-01 Online:2019-01-01 Published:2019-02-03
Supported by:
The Natural Science Foundation of Tianjin(15JCYBJC17000)

摘要/Abstract

摘要：

大规模MIMO系统中的预编码技术是5G网络中的关键技术之一。针对大规模MIMO通信系统中旋转离散傅里叶变换（DFT）码本的用户端码字搜索问题，提出了一种低复杂度的码本搜索方法。该方法根据旋转DFT码本相同列的弦距离最小，且弦距离越小的预编码向量其相关性越强的特点，将所有水平维码本和垂直维码本分别进行分组，得到信道增益最大的水平维最优码字和垂直维最优码字，以构成3D 预编码码本。仿真结果表明所提出的搜索方法在保证了系统性能的同时显著降低了搜索复杂度，并且随着天线数目的增加优势更加明显。

关键词: 大规模MIMO, 旋转DFT码本, 弦距离, 低复杂度, 码本搜索

Abstract:

In Massive MIMO systems for 5G networks,precoding technology is one of the key technologies.Aiming at user side codebook search method of the discrete Fourier transform (DFT) rotation codebook,a low complexity search algorithm was proposed.In this algorithm,all horizontal and vertical codebooks were grouped separately according to the characteristics that the precoding vectors with the same column of DFT rotation codebooks had the smallest chordal distance and the smaller chordal distance have the stronger correlation,and then the optimal horizontal and vertical codewords with maximum channel gain were obtained to form 3D precoding code-books.The simulation results indicate that the searching complexity of the proposed method is significantly reduced under conditions of insuring the system performance,moreover,this advantage becomes greater with the number of antennas increasing.

Key words: massive MIMO, DFT rotation codebook, chordal distance, low complexity, codebook search algorithm

中图分类号:

TN911.22

刘剑飞,何利平,陶颖,刘迪,曾祥烨,王蒙军. 大规模MIMO系统中低复杂度的码本搜索方法[J]. 通信学报, 2019, 40(1): 79-86.

Jianfei LIU,Liping HE,Ying TAO,Di LIU,Xiangye ZENG,Mengjun WANG. Low complexity codebook search method in massive MIMO system[J]. Journal on Communications, 2019, 40(1): 79-86.

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大规模MIMO系统中低复杂度的码本搜索方法

Low complexity codebook search method in massive MIMO system

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