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莱斯信道下大规模MIMO系统混合模数转换器的随机向量量化方案

谢斌 刘述睿 谢舒闽

高技术通讯2017,Vol.27Issue(4):316-324,9.
高技术通讯2017,Vol.27Issue(4):316-324,9.DOI:10.3772/j.issn.1002-0470.2017.04.004

莱斯信道下大规模MIMO系统混合模数转换器的随机向量量化方案

A residual vector quantization scheme using fixed precision analog to digital converter for massive MIMO systems over Rician fading channels

谢斌 1刘述睿 1谢舒闽1

作者信息

  • 1. 江西理工大学信息工程学院 赣州 341000
  • 折叠

摘要

Abstract

To solve the problem that a massive MIMO system will bring about partial performance loss if it uses single-precision analog to digital converter(ADC) to reduce its energy consumption, an improved residual vector quantization (RVQ) scheme using fixed ADC for massive MIMO systems over Rician fading channels was proposed.In the frequency division duplexing (FDD) mode, the scheme uses a reception mixing the high resolution ADC and the low resolution ADC to perform signal processing in the based station to achieve the high conversion accuracy for the received pilot signal and the useful signal.After channel estimation of the pilot signal, the channel state information is processed by RVQ to lighten the feedback overhead.Finally, the minimum mean square error (MMSE) signal detection algorithm is adopted for the purpose of reducing the inter user interference caused by quantization error so as to reduce the energy consumption and the performance loss of the system.The simulation results show that the improved scheme can effectively reduce the loss of the energy consumption and the loss of system capacity, and the sum-rate performance of the proposed scheme is close to the traditional high resolution ADC receiving scheme.

关键词

大规模MIMO/模数转换器(ADC)/能耗/随机向量量化(RVQ)/和速率

Key words

massive MIMO/analog to digital converter (ADC)/energy consumption/residual vector quantization (RVQ)/sum rate

引用本文复制引用

谢斌,刘述睿,谢舒闽..莱斯信道下大规模MIMO系统混合模数转换器的随机向量量化方案[J].高技术通讯,2017,27(4):316-324,9.

基金项目

国家自然科学基金(61363076)和江西省自然科学基金(20142BAB207020)资助项目. (61363076)

高技术通讯

OA北大核心CSTPCD

1002-0470

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