Year: 2016
Type: preprint
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 analogto-digital/digital-to-analog converters (ADC/DACs). Considering training-based transmission, we assume the base station (BS) employs the linear minimum mean-squared-error (LMMSE) 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 (MF) 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.
Source: arXiv (Cornell University)
Institutions: Beijing Jiaotong University, University of California, Irvine
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: green
Awards: EARS: Millimeter Wave Massive MIMO: A New Frontier for Enhanced Radio Access, 多用户大规模多天线系统无线信道测量与衰落相关性研究, TUM-IAS Fellowships for the cooperative development of high risk new fields in technology and science, G3178729020, G4216454388, G4340166896, G6106464933, G6140906460, G6555501436, G6933175034, G8028050642, G8244946873, G8345540293, G8941460575
OpenAlex ID: W2950146920