Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion

Jiafeng QIU

doi:10.11959/j.issn.1000-0801.2020051

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Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion

Research and Development | 更新时间：2024-06-05

- Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion
- Telecommunications Science Vol. 36, Issue 4, Pages: 99-106(2020)
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- DOI：10.11959/j.issn.1000-0801.2020051
  CLC： TN911.22
- Published Online：2020-04，
  
  Published：20 April 2020
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Jiafeng QIU. Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion[J]. Telecommunications science, 2020, 36(4): 99-106.
DOI：

Jiafeng QIU. Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion[J]. Telecommunications science, 2020, 36(4): 99-106. DOI： 10.11959/j.issn.1000-0801.2020051.

摘要

针对毫米波大规模多入多出系统为取得可靠信道估计需要高计算复杂度的缺陷，结合毫米波信道固有的低秩性提出一种低复杂度的毫米波波束域信道估计算法。该算法联合利用毫米波信道波束域稀疏性和天线域低秩性以更短训练间隔实现精确恢复。将信道估计看作矩阵完备问题，利用交替方向乘子法（ADMM）实现快速收敛，并采用快速随机奇异值阈值法将相应计算复杂度降低一个数量级。仿真结果表明，推荐算法在获得令人满意信道估计性能的同时依旧可以保持低复杂度。

Abstract

Due to the high computational complexity of mmWave massive MIMO systems realizing reliable channel estimation

a low-complexity mmWave beamspace channel estimation algorithm was proposed utilizing the inherent low-rank of the mmWave channel.The proposed algorithm jointly exploited the channel sparsity in the beamspace domain and its low-rank property in the antenna domain to provide more accurate recovery

especially for shorter training intervals.By regarding the channel estimation as matrix completion problem

the proposed algorithm was based on the alternating direction method of multipliers with fast convergence properties and exploited fast randomized singular value thresholding to significantly reduce the corresponding complexity.The simulation result shows that the proposed algorithm can achieve satisfactory channel estimation performance while maintaining low complexity.

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references

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