Telecommunications Science ›› 2016, Vol. 32 ›› Issue (4): 70-75.doi: 10.11959/j.issn.1000-0801.2016131

• research and development • Previous Articles     Next Articles

Precoding algorithm based on IQ imbalance in massive MIMO

Jun WANG1,Jianxin DAI2,Chonghu CHENG1,Peng WANG1,Sha LI1   

  1. 1 College of Telecommunications & Information Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210003,China
    2 School of Science,Nanjing University of Posts and Telecommunications,Nanjing 210023,China
  • Online:2016-04-20 Published:2016-04-28
  • Supported by:
    Postdoctoral Research Funding Program of Jiangsu Province;Project of Natural Science Foundation of Nanjing University of Posts and Telecommunications

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.

Key words: massive MIMO, IQ imbalance, precoding algorithm, error rate, block diagonalization precoding algorithm

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