Performance Analysis for Massive MIMO Downlink With Low Complexity Approximate Zero-Forcing Precoding

doi:10.1109/TCOMM.2018.2823715

2018-09-01

Cheng Zhang

Yindi Jing

黄

黄永明 (Yongming Huang) *

Lüxi Yang

DOI：10.1109/TCOMM.2018.2823715

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摘要

En 中文

Zero-forcing (ZF) preceding plays an important role for massive MIMO downlink due to its near optimal performance. However, the high computation cost of the involved matrix inversion hinders its application. In this paper, we adopt the first order Neumann series (NS) for a low-complexity approximation. By introducing a relaxation parameter jointly with the channel non-orthogonality between one selected user and others into the precondition matrix, we propose the identity-plus-column NS (ICNS) method. By further choosing the user with the least channel orthogonality with others, the ordered ICNS method is also proposed. Moreover; the sum-rate approximations of the proposed ICNS method and the competitive existing identity matrix based NS (INS) method are derived in closed-form, based on which the performance loss of ICNS due to inversion approximation compared with ideal ZF and its performance gain over INS are explicitly analyzed for three typical massive MIMO scenarios. Finally, simulations verify our analytical results and also show that the proposed two designs achieve better performance-complexity tradeoff than ideal ZF and existing low-complexity ZF precodings for practical large antenna number, correlated channels, and not-so-small loading factor.

Keyword:

Massive MIMO

precoding

low complexity

sum-rate analysis

Neumann series expansion

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期刊

IEEE Transactions on Communications

IF:

8.3

论文数:

1.2W

被引数:

3.6W

机构

university of alberta

学者数:

5.1W

论文数: 4.9W

被引数: 65

southeast university - china

学者数:

5.3W

论文数: 4.9W

被引数: 57

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