JOURNAL ARTICLE

Downlink Achievable Rate Analysis in Massive MIMO Systems With One-Bit DACs

Yongzhi LiCheng TaoA. Lee SwindlehurstAmine MezghaniLiu Liu

Year: 2017 Journal:   IEEE Communications Letters Vol: 21 (7)Pages: 1669-1672   Publisher: IEEE Communications Society

Abstract

In this letter, we investigate the downlink performance of massive multiple-input multiple-output (MIMO) systems where the base station is equipped with one-bit analog-to-digital/digital-to-analog converters (ADC/DACs). We assume that the base station employs the linear minimum mean-squared-error channel estimator and treats the channel estimate as the true channel to precode the data symbols. We derive an expression for the downlink achievable rate for matched-filter precoding. A detailed analysis of the resulting power efficiency is pursued using our expression of the achievable rate. Numerical results are presented to verify our analysis. In particular, it is shown that, compared with conventional massive MIMO systems, the performance loss in one-bit massive MIMO systems can be compensated for by deploying approximately 2.5 times more antennas at the BS.

Keywords:
Telecommunications link Precoding MIMO Computer science Base station Multi-user MIMO Bit error rate Channel (broadcasting) Electronic engineering Telecommunications Engineering

Metrics

117
Cited By
8.46
FWCI (Field Weighted Citation Impact)
23
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced MIMO Systems Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Harvesting in Wireless Networks
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Advanced Wireless Network Optimization
Physical Sciences →  Engineering →  Electrical and Electronic Engineering

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