Precoding algorithm based on IQ imbalance in massive MIMO

Jun WANG; Jianxin DAI; Chonghu CHENG; Peng WANG; Sha LI

doi:10.11959/j.issn.1000-0801.2016131

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Precoding algorithm based on IQ imbalance in massive MIMO

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

- Precoding algorithm based on IQ imbalance in massive MIMO
- Telecommunication Science Vol. 32, Issue 4, Pages: 70-75(2016)
- 作者机构：
  
  1. 南京邮电大学通信与信息工程学院，江苏南京 210003
  2. 南京邮电大学理学院，江苏南京 210023
- 作者简介：
- 基金信息：
- DOI：10.11959/j.issn.1000-0801.2016131
  CLC： TN929.5
- Published Online：2016-04，
  
  Published：20 April 2016
- 稿件说明：
移动端阅览
Jun WANG, Jianxin DAI, Chonghu CHENG, et al. Precoding algorithm based on IQ imbalance in massive MIMO[J]. Telecommunication science, 2016, 32(4): 70-75.
DOI：

Jun WANG, Jianxin DAI, Chonghu CHENG, et al. Precoding algorithm based on IQ imbalance in massive MIMO[J]. Telecommunication science, 2016, 32(4): 70-75. DOI： 10.11959/j.issn.1000-0801.2016131.

摘要

大规模MIMO具有较高的频谱利用率和能量效率等优点，但大量天线的使用也会带来一些缺点，比如IQ失衡问题等。针对大规模MIMO系统中存在的IQ失衡问题，提出了一种宽线性优化的块对角化预编码算法。通过仿真结果可以看出，本算法相对块对角化算法和宽线性对角化算法在误码率性能上有着显著的提高。

Abstract

Massive multiple-input multiple-output（MIMO）refers to the idea equipping cellular base stations with a very large number of antennas，and is a communication way of severing several users. Widely-linear optimized block diagonalization type precoding techniques was proposed to alleviate the impact of IQ imbalance in the downlink massive multi-input multi-output systems. Numerical results show that significant performance can be gain compared to BD and WL-BD.

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references

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