Minimum Interference Beam Selection for Millimeter Wave BeamSpace MIMO System

  • Dantao Li
  • Xiaohui Li
  • Bin Zhou
  • Yanbin Zhao
  • Danfeng Meng
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 237)


Millimeter Wave (mmWave) combined with massive multiple-input multiple-output (MIMO) can provide wider bandwidth and higher spectrum efficiency. It has been considered as a key technique for future 5G wireless communications. However, hardware costs and power consumption make traditional MIMO processing impractical in such systems, because a large number of radio frequency (RF) chains are needed. To solve this problem, the beamspace MIMO concept is proposed in mmWave multiuser MIMO (MU-MIMO) systems, which utilizes beam selection algorithm based on the sparsity of beamspace channel to reduce the required RF chains without obvious performance loss. The existing beam selection algorithms mainly select the beam with the strongest gain, but ignore the inter-beam interference and the complexity. Thus, a novel algorithm based on the minimum interference (MI) criterion is proposed. Specifically, the performance of the beams is measured by defining the beamspace signal-to-interference ratio (SIR). When choosing beams, not only the gain of beams but also the interference to other users is considered. The simulation results demonstrate that the proposed algorithm can substantial reduce the complexity while ensuring better system performance.


Massive MIMO mmWave communication systems Low RF complexity Beamspace MIMO Beam selection 



This work was supported by the State Major Science and Technique Project (MJ-2014-S-37), the National Natural Science Foundation of China (61201134), and the 111 Project (B08038).


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2018

Authors and Affiliations

  • Dantao Li
    • 1
    • 2
  • Xiaohui Li
    • 1
    • 2
  • Bin Zhou
    • 3
  • Yanbin Zhao
    • 4
  • Danfeng Meng
    • 1
    • 2
  1. 1.State Key Laboratory of Integrated Service NetworksXidian University Xi’anXi’anChina
  2. 2.Collaborative Innovation Center of Information Sensing and UnderstandingXidian University Xi’anXi’anChina
  3. 3.AVIC Computing Technique Research InstituteXi’anChina
  4. 4.Geographic Information CenterYangquanChina

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