232 / 2020-01-03 07:39:00
Improved Spectral Efficiency Based on Double Spatially Sparse in Millimeter Wave MIMO System
Hybrid Beamforming; Augmented Nested Arrays; Spectral Efficiency; Orthogonal Matching Pursuit
摘要待审
Sicheng Guo / Nanjing University of Information Science and Technology, China
Yanping Zhu / Nanjing University of Information Science and Technology, China
Yinxuan Sun / Nanjing University of Information Science and Technology, China
Existing millimeter wave (mmWave) systems must take advantage of large antenna arrays to make wavelength reduction possible against path losses and beamforming gains. To solve the above problem and improve the spectral efficiency, double spatially sparse processing is proposed in this paper. One sparse is the spatially sparse precoding with orthogonal matching pursuit (OMP) reconstruction method in mmWave hybrid beamforming, which can reduce the data rate; The other sparse is the sparse array generated by augmented nested array at transmitter to greatly decrease the array elements. Simulation results show that this double sparse processing has better spectral efficiency than linear array MIMO hybrid beamforming.
重要日期
  • 会议日期

    06月08日

    2020

    06月11日

    2020

  • 01月12日 2020

    初稿截稿日期

  • 04月15日 2020

    提前注册日期

  • 12月31日 2020

    注册截止日期

主办单位
IEEE Signal Processing Society
承办单位
Zhejiang University
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