A Precoding Algorithm Based on Max-SNR in Massive MIMO System

Yuhua Wu

doi:10.11959/j.issn.1000-0801.2015250

您当前的位置：

首页 >

文章列表页 >

A Precoding Algorithm Based on Max-SNR in Massive MIMO System

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

- A Precoding Algorithm Based on Max-SNR in Massive MIMO System
- Telecommunications Science Vol. 31, Issue 10, Pages: 103-106(2015)
- 作者机构：
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2015250
  CLC：
- Published Online：2015-10，
  
  Published：20 October 2015
- 稿件说明：
移动端阅览
Yuhua Wu. A Precoding Algorithm Based on Max-SNR in Massive MIMO System[J]. Telecommunications science, 2015, 31(10): 103-106.
DOI：

Yuhua Wu. A Precoding Algorithm Based on Max-SNR in Massive MIMO System[J]. Telecommunications science, 2015, 31(10): 103-106. DOI： 10.11959/j.issn.1000-0801.2015250.

摘要

为了获得更高速的数据传输和更大的阵列增益，提出了大规模MIMO 系统中基于最大化信噪比的下行预编码算法。这种算法的基本思路如下：首先基站通过接收到的上行导频序列进行MMSE信道估计；基站在对下行数据进行预编码后将下行数据发送给用户；终端用户依据最大化接收端信噪比、采用瑞利熵优化问题得到预编码矩阵。仿真结果表明，该算法的性能比SVD算法的性能好，尤其当发射天线较多的时候，在今后的大规模MIMO系统中很有价值。

Abstract

In order to obtain higher data transmission speed and greater array gain，a precoding algorithm based on max-SNR in massive MIMO system was proposed.The basic method of this algorithm was following.Firstly，the base station obtained MMSE channel estimation by received uplink pilot sequences，then the base station transmited downlink data to users after precoding.Terminal users derived the optimal precoding matrix by resolving a Rayleigh entropy optimization problem based on the received SNR.Simulation results show that the performance of the proposed algorithm is better than SVD algorithm，especially when the number of transmit antennas is large，the proposed algorithm is valuable in massive MIMO systems in the future.

关键词

Keywords

references

Marzetta T L . Noncooperative cellular wireless with unlimited numbers of base station antennas . IEEE Transactions on Wireless Communications ， 2010 ， 9 （ 11 ）： 3590 ～ 3600

Rusek F ， Persson D ， Lau B K ， et al . Scaling up MIMO：opportunities and challenges with very large arrays . IEEE Signal Processing Magzine ， 2012 ， 30 （ 1 ）： 40 ～ 46

Lu L ， Li G ， Swindlehurst A ， et al . An overview of massive MIMO：benefits and challenges . IEEE Journal of Selected Topics in Signal Processing ， 2014 ， 8 （ 5 ）： 742 ～ 758

Jose J ， Ashikhminand A ， Marzetta T L . Pilot contamination and precoding in multi-cell TDD systems . IEEE Transactions on Wireless Communications ， 2009 ， 10 （ 8 ）： 2640 ～ 2651

Appaiah K ， Ashikhminand A ， Marzetta T L . Pilot contamination reduction in multi-user TDD systems . Proceedings of the IEEE International Conference on Communications（ICC）， Cape Town，South Africa ， 2010

Ashikhmin A ， Marzetta T . Pilot contamination precoding in multi-cell large scale antenna system . Proceedings of the 2012 IEEE International Symposium on Information Theory ， Cambridge，Massachusetts，USA ， 2012

Sharif M ， Hassibi B . On the capacity of MIMO broadcast channels with partial side information . IEEE Transactions on Information Theory ， 2005 ， 51 （ 2 ）： 506 ～ 522

Ding P ， Love D J ， Zoltowski M D . On the sum rate of channel subspace feedback for multi-antenna broadcast channels . Proceedings of the IEEE Global Telecommunications Conference ， San Antonio，Texas，USA ， 2005 ： 2699 ～ 2703

Jindal N . MIMO broadcast channels with finite-rate feedback . IEEE Transactions on Information Theory ， 2006 ， 52 （ 11 ）： 5045 ～ 5060

Yoo T ， Jindal N ， Goldsmith A . Multi-antenna broadcast channels with limited feedback and user selection . IEEE Journal Sel Areas Communications ， 2006 ， 25 （ 7 ）： 1478 ～ 1491

Sailes K Sengijpta . Fundamentals of statistical signal processing：estimation theory . Technometrics ， 1995 ， 37 （ 4 ）： 465 ～ 466

Ngo H Q ， Larsson E G ， Marzetta T L . Massive MU-MIMO downlink TDD systems with linear precoding and downlink pilots . Proceedings of the 51st Annual Allerton Conference on Communication，Control and Computing ， Allerton，England ， 2013 ： 293 ～ 298

So J ， Kim D ， Lee Y . Pilot signal design for massive MIMO systems：a received signal-to-noise-ratio-based approach . IEEE Signal Processing Letters ， 2014 ， 22 （ 5 ）： 549 ～ 553

Bogale T E ， Le L B . Pilot optimization and channel estimation for multiuser massive MIMO systems . Proceedings of the 48th Annual Conference on Information Sciences and Systems（CISS）， Princeton，NJ，USA ， 2014 ： 1 ～ 6

Boyd S ， Vandenberghe L . Convex Optimization . London ： Cambridge University Press 2004

Bogale T E ， Vandendorpe L . Max-min SNR signal energy based spectrum sensing algorithms for cognitive radio networks with noise variance uncertainty . IEEE Transactions on Wireless Communications ， 2014 ， 13 （ 1 ）： 280 ～ 290

Heath R W ， Truong K T . Effects of channel aging in massive MIMO systems . Journal of Communications ＆ Networks ， 2013 ， 15 （ 4 ）： 338 ～ 351

Views

432

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Feedback bit allocation in distributed antenna array systems

Analysis and application evaluation of precoding method based on low-band communication system

Golden code based transmission schemes and decoding methods for MIMO downlink system with finite-bit feedback

Hybrid precoding method for mmWave MIMO systems based on limited feedback

Golay Complementary Sequence in the Application of Distributed Temperature Sensing System

Related Author

Cui WANG

Peng PAN

Shuai ZHANG

Yijun SUN

Tao MA

Zherui MA

Di WU

Sisi ZHENG

Related Institution

Beijing Municipa1 Public Security Bureau

BUPT-Guoan Broadband Network Technology Co.，Ltd.

⁰