Compressive Sensing Based CSI Feedback Assisted by Partial Support-Set

QING Chao-jin; YANG Qing-yao; WAN Dong-qin; CAI Xi; PENG Lang

doi:10.3969/j.issn.0372-2112.2019.08.009

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Compressive Sensing Based CSI Feedback Assisted by Partial Support-Set

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- Compressive Sensing Based CSI Feedback Assisted by Partial Support-Set
- Acta Electronica Sinica Vol. 47, Issue 8, Pages: 1669-1676(2019)
- 作者机构：
  
  西华大学电气与电子信息学院,四川,成都,610039
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2019.08.009
  CLC： TN914
- Published Online：25 August 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
QING Chao-jin, YANG Qing-yao, WAN Dong-qin, et al. Compressive Sensing Based CSI Feedback Assisted by Partial Support-Set[J]. Acta Electronica Sinica, 2019, 47(8): 1669-1676.
DOI：

QING Chao-jin, YANG Qing-yao, WAN Dong-qin, et al. Compressive Sensing Based CSI Feedback Assisted by Partial Support-Set[J]. Acta Electronica Sinica, 2019, 47(8): 1669-1676. DOI： 10.3969/j.issn.0372-2112.2019.08.009.

摘要

在频分双工大规模多输入多输出系统中，基于压缩感知的信道状态信息（CSI，channel state information）反馈方法因正确重构CSI小幅度元素的支撑集合造成巨大的反馈开销.为降低基于压缩感知的CSI反馈的开销，提出一种部分支撑集辅助的压缩感知CSI反馈方法.提出方法将CSI的一部分小幅度元素的支撑集与压缩CSI一同反馈回基站.基站无需重构反馈回基站的CSI小幅度元素的支撑集，压缩CSI所需的测量次数（反馈开销）得以极大降低.分析与仿真结果表明，相对于传统的基于CS的CSI反馈方法，提出方法在确保CSI重构精度与可达和速率情况下，能有效降低CSI反馈开销和CSI重构的计算复杂度.

Abstract

In a frequency division duplex (FDD) massive multiple input multiple output (MIMO) system

the compressed sensing (CS)-based channel state information (CSI) feedback methods cause a significant feedback overhead

due to the correct reconstruction of the support-set for the small magnitude elements of CSI. To reduce the feedback overhead

a CS-based CSI feedback scheme assisted by partial support-set is proposed in this paper

where the partial support-set of small magnitude elements and the compressed CSI are fed back to the base station (BS) together.Since the BS does not need to recover the support-set of small magnitude elements

the measurement requirement (i.e.

the feedback overhead) to compress the CSI is greatly reduced. Compared with the conventional CS-based CSI feedback

the analysis and simulation results show that the proposed method can reduce CSI feedback overhead and computation complexity of CSI reconstruction

while guaranteeing the CSI recovery accuracy and achievable sum-rate.

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