Hybrid precoding method for mmWave massive MIMO systems based on LFM

Haoyi CHEN; Yifan DING; Ying CHENG

doi:10.11959/j.issn.1000-0801.2019069

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Hybrid precoding method for mmWave massive MIMO systems based on LFM

research and development | 更新时间：2024-06-05

- Hybrid precoding method for mmWave massive MIMO systems based on LFM
- Telecommunications Science Vol. 35, Issue 6, Pages: 89-95(2019)
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- DOI：10.11959/j.issn.1000-0801.2019069
  CLC： TN919
- Published Online：2019-06，
  
  Published：20 June 2019
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Haoyi CHEN, Yifan DING, Ying CHENG. Hybrid precoding method for mmWave massive MIMO systems based on LFM[J]. Telecommunications science, 2019, 35(6): 89-95.
DOI：

Haoyi CHEN, Yifan DING, Ying CHENG. Hybrid precoding method for mmWave massive MIMO systems based on LFM[J]. Telecommunications science, 2019, 35(6): 89-95. DOI： 10.11959/j.issn.1000-0801.2019069.

摘要

模拟数字混合预编码是毫米波大规模多输入多输出（MIMO）系统的关键技术，可以减少硬件成本而又兼顾系统性能。但是传统的混合预编码方法往往需要寻找适合的码本进行预编码，有的码本实际情况中并不容易获得，或者有偏差。针对这个问题，提出一种无需码本的基于机器学习中隐因子模型（LFM）的模数混合预编码方法。利用LFM分解与随机梯度下降法，使设计的混合预编码矩阵逼近最优全数字预编码矩阵，从而得到极佳的性能。仿真结果表明，相比基于正交匹配追踪（OMP）算法的混合预编码设计方法，该方法不但无需事先设计码本，而且其性能比基于OMP算法的混合预编码方法更优秀，更接近最优的全数字预编码方法。

Abstract

Analog-digital hybrid precoding is a key technology for millimeter wave massive MIMO systems that reduce hardware costs while balancing system performance.However

the traditional hybrid precoding scheme often needed to find a suitable codebook for precoding

and some codebooks were not easy to obtain or had deviations in actual situations.An analog-digital hybrid precoding method based on latent factor model (LFM) in machine learning without codebook was proposed for this problem.The LFM decomposition and stochastic gradient descent method were used to approximate the designed precoding matrix to the optimal full digital precoding matrix for good performance.The simulation results show that compared with the hybrid precoding design method based on orthogonal matching pursuit (OMP) algorithm

this method not only does not need a codebook

but also has better performance than the hybrid precoding algorithm based on OMP algorithm

which is closer to optimal full digital precoding method.

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references

HEATH R W , GONZÁLEZ-PRELCIC N , RANGAN S , et al . An overview of signal processing techniques for millimeter wave MIMO systems [J ] . IEEE Journal of Selected Topics in Signal Processing , 2016 , 10 ( 3 ): 436 - 453 .

ANDREWS J G , BUZZI S , CHOI W , et al . What will 5G be? [J ] . IEEE Journal on Selected Areas in Communications , 2014 , 32 ( 6 ): 1065 - 1082 .

RAPPAPORT T S , HEATH R W , DANIELS R C , et al . Millimeter wave wireless communications [M ] . New York : Pearson EducationPress , 2014 .

AYACH E , RAJAGOPAL S , ABU SURRAL S , et al . Spatially sparse precoding in millimeter wave MIMO systems [J ] . IEEE Transactions on Wireless Communications , 2014 , 13 ( 4 ): 1499 - 1513 .

电子科技大学,同方电子科技有限公司 . 多个信号方向未知的天线阵列方向向量的测量方法:CN201310521921.8 [P ] .2014-04-30.

LIU Y H , CHEN C H , TSAI C R , et al . Multilevel-DFT based low-complexity hybrid precoding for millimeter wave MIMO systems [C ] // IEEE International Conference on Signal Processing Communication and Computing,August 5-8,2016,Hong Kong,China . Piscataway:IEEE Press , 2016 : 1 - 5 .

XIE T , DAI L , GAO X , et al . Geometric mean decomposition based hybrid precoding for millimeter-wave massive MIMO [J ] . China Communications , 2018 , 15 ( 5 ): 229 - 238 .

GAO X , DAI L , SUN Y , et al . Machine learning inspired energy-efficient hybrid precoding for mmWave massive MIMO systems [C ] // IEEE International Conference on Communications,July 2-7,2017,Paris,France . Pisataway:IEEE Press , 2017 : 1 - 6 .

IWANOW M , VUCIC N , BAZZI S , et al . A greedy approach for multiuser mmWav eHybrid precoding with subarray architectures [C ] // 2017 51st Asilomar Conference on Signals,Systems and Computers,Oct 29-Nov 1,2017,Pacific Grove,USA . Piscatway:IEEE Press , 2017 .

GAO X , DAI L , HAN S , et al . Energy-efficient hybrid analog and digital precoding for mmWave MIMO systems with large antenna arrays [J ] . IEEE Journal on Selected Areas in Communications , 2016 , 34 ( 4 ): 998 - 1009 .

YE G , ZHAO X . Improved SVD algorithm based on slope one [C ] // 2018 Chinese Control And Decision Conference (CCDC),June 9-11,2018,Shenyang,China.[S.l.:s.n] . 2018 : 1002 - 1004 .

KOREN Y , BELL R , VOLINSKY C . Matrix factorization techniques for recommender systems [J ] . IEEE Computer Society , 2009 , 43 ( 8 ): 30 - 37 .

向建伟 , 于秀兰 , 景小荣 . 毫米波大规模 MIMO 系统中低复杂度混合预编码方法 [J ] . 电信科学 , 2016 , 32 ( 9 ): 10 - 15 .

XINAG J W , YU X L , JING X R . Low complexity hybrid precoding method in mmWave massive MIMO system [J ] . Telecommunications Science , 2016 , 32 ( 9 ): 10 - 15 .

BELL R M , KOREN Y . Lessons from the Netflix prizechallenge [J ] . ACM SIGKDD Explorations Newsletter , 2007 , 9 ( 2 ): 75 - 79 .

周志华 . 机器学习 [M ] . 北京 : 清华大学出版社 , 2016 : 23 - 24 .

ZHOU Z H . Machine learning [M ] . Beijing : Tsinghua University PressPress , 2016 : 23 - 24 .

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