基于矩阵完备的低复杂度毫米波大规模MIMO信道估计

doi:10.11959/j.issn.1000-0801.2020051

Abstract

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.

Key words: matrix completion, ADMM, channel estimation, mmWave massive MIMO, low complexity

CLC Number:

TN911.22

Jiafeng QIU. Low-complexity massive MIMO channel estimation for mmWave systems via matrix completion[J]. Telecommunications Science, 2020, 36(4): 99-106.

Figures/Tables 4

操作	复杂度
步骤2 $Y = A Ω \in ℂ^{m \times l}$ l	O(mn log l)
步骤3 $Q = QR_C P (Y) \in ℂ^{m \times s}$	O(ms ²)
步骤4 $Q = QR (A A^{H} Q) \in ℂ^{m \times s}$	O(ms ²)+O(mns)
步骤5 $[H, C] = QR (A^{T} Q)$	O(ms ²)+O(ns²)
步骤6、7计算极分解和特征分解	O(s ³)
步骤8 计算 $S V T_{τ} (A)$	O (mns)
总体	O(mn log l)+O(mns)×(η+1)

References 14

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

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