Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems

@article{Jung2018InitialBS,
  title={Initial Beam Selection Scheme Using Channel Correlation Matrix in mmWave Massive MIMO Systems},
  author={Jaemin Jung and Heeyoung Kim and Seongbae Han and Young Rok Jang and Seokki Kim and Seungkwon Baek and Sooyong Choi},
  journal={2018 Tenth International Conference on Ubiquitous and Future Networks (ICUFN)},
  year={2018},
  pages={744-747}
}
For millimeter wave (mmWave) massive multiple-input-multiple-output (MIMO) Xhaul systems, an initial beam search technique based on the maximum value of the codebook multiplied by the channel correlation matrix is proposed. Simulation results show the proposed initial beam selection scheme reduces complexity by more than 95% and improves up to 24% gain in terms of achievable rate compared with the conventional turbo-like tabu beam search algorithm with a random initial beam selection. 

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Key Quantitative Results

  • Simulation results show the proposed initial beam selection scheme reduces complexity by more than 95% and improves up to 24% gain in terms of achievable rate compared with the conventional turbo-like tabu beam search algorithm with a random initial beam selection.
  • 4, the proposed scheme can achieve the 24% improved achievable rates at 0 dB SNR with 95.3% reduced complexity compared to the conventional turbo-like tabu beam search algorithm with Bt = Br = 6.
  • Simulation results show that the proposed scheme can achieve the reduced complexity by up to more than 95% and up to 24% improvement of achievable rate compared with the conventional turbo-like beam search algorithm.

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