Asymptotic Performance of Downlink Massive MIMO with 1-bit Quantized Zero-Forcing Precoding

被引：1

作者：

Saxena, Amodh Kant ^{[1
]}

Mezghani, Amine ^{[1
]}

Bendlin, Ralf ^{[2
]}

Nammi, SaiRamesh ^{[2
]}

Heath, Robert W., Jr. ^{[1
]}

Andrews, Jeffrey G. ^{[1
]}

Chopra, Aditya ^{[2
]}

机构：

[1] Univ Texas Austin, Wireless Networking & Commun Grp, Dept ECE, Austin, TX 78712 USA

[2] AT&T Labs, 9505 Arboretum Blvd, Austin, TX 78759 USA

来源：

2019 IEEE 20TH INTERNATIONAL WORKSHOP ON SIGNAL PROCESSING ADVANCES IN WIRELESS COMMUNICATIONS (SPAWC 2019) | 2019年

关键词：

Massive MIMO; millimeter-wave communication; ZF precoding; 1-bit quantization; performance analysis with third order harmonics; OF-BAND RADIATION; SYSTEMS;

D O I：

10.1109/spawc.2019.8815476

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The use of 1-bit DACs for downlink massive MIMO system can significantly reduce base station energy consumption and hardware complexity with the tradeoff being the introduction of nonlinear impairments in the transmitted signal. We analyze the corresponding received signal at the single antenna users through Bussgang decomposition and spectral analysis up to third order harmonics. Through mathematical investigation and simulations, we also evaluate the spectral emissions, signal to quantization and interference ratio (SQINR), along with the achievable rate at the receivers. We observe that SQINR and achievable rate per user achieve a maximum for a nontrivial optimum number of users, which we estimate through our analyses.

引用

页数：5

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