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Coordinated Regularized Zero-Forcing Precoding for Multicell MISO Systems With Limited Feedback

机译:具有有限反馈的多小区MISO系统的协调正则零强制预编码

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摘要

We investigate coordinated regularized zero-forcing (RZF) precoding for limited feedback multicell multiuser (MU) multiple-input-single-output (MISO) systems. We begin by deriving an approximation to the expected signal-to-interference-plus-noise (SINR) ratio for the proposed scheme with perfect channel direction information (CDI) at the base station (BS). We also derive an expected SINR approximation for limited feedback systems with random vector quantization (RVQ)-based codebook CDI at the BS. Using the expected interference result for the RVQ-based limited feedback CDI, we propose an adaptive feedback bit allocation strategy to minimize the expected interference by partitioning the total number of bits between the serving and out-of-cell interfering channels. Numerical results show that the proposed adaptive feedback bit allocation method offers a spectral efficiency gain over the existing coordinated zero-forcing (ZF) scheme.
机译:我们研究了有限反馈多小区多用户(MU)多输入单输出(MISO)系统的协调正则归零强制(RZF)预编码。我们首先从基站(BS)得出具有理想信道方向信息(CDI)的拟议方案的预期信噪比(SINR)的近似值。我们还可以在BS处获得基于随机向量量化(RVQ)的密码本CDI的有限反馈系统的预期SINR近似值。使用基于RVQ的有限反馈CDI的预期干扰结果,我们提出了一种自适应反馈比特分配策略,以通过在服务和小区外干扰信道之间划分比特总数来最小化预期干扰。数值结果表明,所提出的自适应反馈比特分配方法相对于现有的协同零强迫(ZF)方案提供了频谱效率增益。

著录项

  • 来源
    《IEEE Transactions on Vehicular Technology》 |2017年第1期|335-343|共9页
  • 作者单位

    School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand;

    School of Mathematics, Statistics, and Operations Research, Victoria University of Wellington, Wellington, New Zealand;

    School of Engineering and Computer Science, Victoria University of Wellington, Wellington, New Zealand;

  • 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

    Interference; Signal to noise ratio; Bit rate; MIMO; Shadow mapping;

    机译:干扰;信噪比;比特率;MIMO;阴影映射;
  • 入库时间 2022-08-17 13:45:56

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