Low-Complexity Implicit Detection for Massive MIMO Using Neumann Series

doi:10.1109/TVT.2022.3172950

2022-08-01

PRE

DOI：10.1109/TVT.2022.3172950

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摘要

En 中文

In massive MIMO systems, the high complexity of signal detection comes mainly from computing a Gram matrix and its inversion. In this correspondence, we propose a low-complexity MIMO detection method based on the Neumann series (NS), which does not require explicitly computing the Gram matrix and its inversion. The proposed method leverages the statistical information of the Gram matrix to compute an initialization matrix, which guarantees the convergence of NS expansion. The signal detection is conducted implicitly by transforming matrix inversion and product operations into matrix-vector multiplication operations. By doing so, it reduces the computational complexity of MIMO signal detection from O(BU2 + U-3) to O(BUN), where B, U, and N are the numbers of antennas at the base station, at the user equipment, and NS terms, respectively. Simulation results show that, compared with existing approaches, the proposed method can significantly reduce the signal detection complexity while achieving similar performance.

Keyword:

Implicit detection

low-complexity

massive MIMO

matrix inversion approximation

neumann series expansion

期刊

IEEE Transactions on Vehicular Technology

IF:

7.1

论文数:

1.8W

被引数:

6.6W

机构

michigan state university

学者数:

3.6W

论文数: 3.2W

被引数: 44

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