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Distributed Cooperative Two-Cell Zero-Forcing Precoding With Local Channel Correlation

机译:具有局部信道相关性的分布式协作两元零强制预编码

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摘要

This study focuses on local channel correlation based zero-forcing (ZF) precoding design for boosting weighted ergodic sum-rate (WESR) in the cooperative two-cell multiple-input single-output system. We first present that the WESRs of the statistical channel state information (SCSI) aided general eigenvector coordinated beamforming (SCSI-GE) and the conventional ZF beamforming with erroneous instantaneous channel state information (ICSI; eICSI-ZF) saturate to constant values at high SNR due to inter-cell interference. Motivated by this, we develop a ZF coordination framework with local SCSI requirement at the transmitter and low data-sharing backhaul load. Additionally, a low-cost but effective two-dimensional ZF precoding design called 2d-SZF is proposed, which involves only distributed computations based on the local channel correlation. Theoretical analysis and simulation results confirm that the proposed local SCSI-based 2d-SZF scheme yields the most desirable WESR while the WESRs of SCSI-GE and eICSI-ZF both saturate in the high regime of SNR, and are respectively sensitive to the level of spatial channel correlation and ICSI accuracy at finite SNR.
机译:这项研究集中在基于局部信道相关的零强迫(ZF)预编码设计上,以提高协作式两单元多输入单输出系统中的加权遍历总和率(WESR)。我们首先提出统计信道状态信息(SCSI)辅助通用特征向量协调波束形成(SCSI-GE)和具有错误瞬时信道状态信息(ICSI; eICSI-ZF)的常规ZF波束形成的WESR会在高SNR时饱和到恒定值由于小区间干扰。为此,我们开发了一种ZF协调框架,该框架在发送器处具有本地SCSI要求,并且数据共享回程负载较低。此外,提出了一种低成本但有效的二维ZF预编码设计,称为2d-SZF,该设计仅涉及基于本地信道相关性的分布式计算。理论分析和仿真结果证实,提出的基于局部SCSI的2d-SZF方案产生了最理想的WESR,而SCSI-GE和eICSI-ZF的WESR都在SNR高的状态下饱和,并且分别对SNR的水平敏感。信噪比有限时的空间信道相关性和ICSI精度。

著录项

  • 来源
    《IEEE Transactions on Vehicular Technology》 |2017年第9期|8086-8102|共17页
  • 作者单位

    Department of Information and Communication Engineering, Xi’an Jiaotong University, Xi’an, China;

    Department of Information and Communication Engineering, Xi’an Jiaotong University, Xi’an, China;

    Department of Communication Science and Engineering, Key Laboratory for Information Science of Electromagnetic Waves (MoE), Fudan University, National Mobile Communications Research Laboratory, Southeast University, Shanghai, Nanjing, ChinaChina;

    Research Center of Intelligent Robotics, School of Astronautics, and the National Key Laboratory of Aerospace Flight Dynamics, Northwestern Polytechnical University, Xi’an, China;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Array signal processing; Interference; Precoding; Signal to noise ratio; Correlation; MISO; Transmitters;

    机译:阵列信号处理;干扰;预编码;信噪比;相关;MISO;发射机;

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