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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Low-Complexity Hybrid Precoding Algorithm Based on Log-Det Expansion for GenSM-Aided MmWave MIMO System
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Low-Complexity Hybrid Precoding Algorithm Based on Log-Det Expansion for GenSM-Aided MmWave MIMO System

机译:基于LOG-DET扩展的低复杂性混合预编码算法,用于Gensm辅助MMWAVE MIMO系统

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摘要

Generalized spatial modulation (GenSM) aided millimeter wave (mmWave) multiple-input multiple-output (MIMO) system has been recently considered as a new efficient technique due to the combination of numerous antennas and reduced number of radio frequency (RF) chains. However, the present hybrid precoding schemes for GenSM-aided system are still troubled by high computational complexity and performance loss in spectral efficiency (SE). In this paper we propose low-complexity hybrid precoding schemes based on Martin's expansion for logarithmic determinant (log-det) form in analytical SE lower bound. Digital and analog precoders are herein optimized separately, which means complicated alternating minimization iteration is omitted. Besides, we can adjust algorithmic complexity adaptively corresponding to different demand levels for users. Finally the numerical simulations show that the proposed methods outperform other GenSM-aided mmWave MIMO schemes and can achieve a better tradeoff between complexity and SE.
机译:广义空间调制(Gensm)辅助毫米波(MMWAVE)多输入多输出(MIMO)系统已被认为是由于许多天线的组合和射频(RF)链数的组合而被认为是一种新的高效技术。然而,用于Gensm辅助系统的本发明的混合预编码方案仍然是通过高计算复杂性和频谱效率的性能损耗来扰乱(SE)的困扰。本文在分析SE下限中提出了基于Martin Cathtmination(Log-Det)形式的低复杂性混合预编码方案。在此处优化数字和模拟预编码器,其意味着省略了复杂的交替最小化迭代。此外,我们可以根据用户自适应地调整算法复杂性。最后,数值模拟表明,所提出的方法优于其他Gensm辅助MMWAVE MIMO方案,可以在复杂性和SE之间实现更好的权衡。

著录项

  • 来源
    《IEEE Transactions on Vehicular Technology》 |2021年第2期|1554-1564|共11页
  • 作者单位

    Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China|Beijing Natl Res Ctr Informat Sci & Technol BNRis Beijing 100084 Peoples R China;

    Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China|Beijing Natl Res Ctr Informat Sci & Technol BNRis Beijing 100084 Peoples R China|Tsinghua Univ Shenzhen Res Inst Shenzhen 518057 Peoples R China;

    Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China|Beijing Natl Res Ctr Informat Sci & Technol BNRis Beijing 100084 Peoples R China;

    Tsinghua Univ Dept Elect Engn Beijing 100084 Peoples R China|Beijing Natl Res Ctr Informat Sci & Technol BNRis Beijing 100084 Peoples R 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

    mmWave; hybrid precoding; GenSM; low-complexity; log-det expansion;

    机译:mmwave;混合预编码;农业植物;低复杂性;log-det扩展;

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