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Lattice-based precoding and decoding in MIMO fading systems.

机译:MIMO衰落系统中基于格的预编码和解码。

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摘要

In this thesis, different aspects of lattice-based precoding and decoding for the transmission of digital and analog data over MIMO fading channels are investigated: (1) Lattice-based precoding in MIMO broadcast systems: A new viewpoint for adopting the lattice reduction in communication over MIMO broadcast channels is introduced. Lattice basis reduction helps us to reduce the average transmitted energy by modifying the region which includes the constellation points. The new viewpoint helps us to generalize the idea of lattice-reduction-aided precoding for the case of unequal-rate transmission, and obtain analytic results for the asymptotic behavior of the symbol-error-rate for the lattice-reduction-aided precoding and the perturbation technique. Also, the outage probability for both cases of fixed-rate users and fixed sum-rate is analyzed. It is shown that the lattice-reduction-aided method, using LLL algorithm, achieves the optimum asymptotic slope of symbol-error-rate (called the precoding diversity). (2) Lattice-based decoding in MIMO multiaccess systems and MIMO point-to-point systems: Diversity order and diversity-multiplexing tradeoff are two important measures for the performance of communication systems over MIMO fading channels. For the case of MIMO multiaccess systems (with single-antenna transmitters) or MIMO point-to-point systems with V-BLAST transmission scheme, it is proved that lattice-reduction-aided decoding achieves the maximum receive diversity (which is equal to the number of receive antennas). Also, it is proved that the naive lattice decoding (which discards the out-of-region decoded points) achieves the maximum diversity in V-BLAST systems. On the other hand, the inherent drawbacks of the naive lattice decoding for general MIMO fading systems is investigated. It is shown that using the naive lattice decoding for MIMO systems has considerable deficiencies in terms of the diversity-multiplexing tradeoff. Unlike the case of maximum-likelihood decoding, in this case, even the perfect lattice space-time codes which have the non-vanishing determinant property can not achieve the optimal diversity-multiplexing tradeoff. (3) Lattice-based analog transmission over MIMO fading channels: The problem of finding a delay-limited schemes for sending an analog source over MIMO fading channels is investigated in this part. First, the problem of robust joint source-channel coding over an additive white Gaussian noise channel is investigated. A new scheme is proposed which achieves the optimal slope for the signal-to-distortion-ratio (SDR) curve (unlike the previous known coding schemes). Then, this idea is extended to MIMO channels to construct lattice-based codes for joint source-channel coding over MIMO channels. Also, similar to the diversity-multiplexing tradeoff, the asymptotic performance of MIMO joint source-channel coding schemes is characterized, and a concept called diversity-fidelity tradeoff is introduced in this thesis.
机译:本文研究了在MIMO衰落信道上传输数字和模拟数据的基于格的预编码和解码的不同方面:(1)MIMO广播系统中基于格的预编码:在通信中采用格减少的新观点介绍了MIMO广播信道。格基减少有助于我们通过修改包括星座点的区域来减少平均传输能量。新的观点有助于我们针对不等速率传输的情况归纳出晶格简化辅助预编码的思想,并获得了晶格简化辅助预编码的符号错误率的渐近行为的解析结果。摄动技术。此外,还分析了固定费率用户和固定和费率两种情况的中断概率。结果表明,采用LLL算法的网格约简辅助方法可以实现符号误码率的最佳渐近斜率(称为预编码分集)。 (2)MIMO多址系统和MIMO点对点系统中基于格的解码:分集阶数和分集复用折衷是MIMO衰落信道上通信系统性能的两个重要指标。对于MIMO多址系统(带有单天线发射机)或具有V-BLAST传输方案的MIMO点对点系统,已证明晶格简化辅助解码可实现最大接收分集(等于接收天线的数量)。此外,还证明了朴素的点阵解码(丢弃了超出区域的解码点)在V-BLAST系统中实现了最大的分集。另一方面,研究了用于普通MIMO衰落系统的朴素点阵解码的固有缺点。结果表明,在MIMO系统中使用朴素点阵解码在分集复用权衡方面存在很大的缺陷。与最大似然解码的情况不同,在这种情况下,即使具有不消失的行列式性质的理想晶格时空码也不能实现最佳的分集复用权衡。 (3)MIMO衰落信道上基于格的模拟传输:本部分研究了寻找通过MIMO衰落信道发送模拟源的时延受限方案的问题。首先,研究了加性高斯白噪声信道上鲁棒的联合源信道编码问题。提出了一种新方案,该方案可实现信号失真比(SDR)曲线的最佳斜率(与以前的已知编码方案不同)。然后,这个想法扩展到MIMO信道,以构建基于点阵的代码,用于MIMO信道上的联合源信道编码。另外,类似于分集复用权衡,特征在于MIMO联合源信道编码方案的渐近性能,并提出了一种称为分集保真权衡的概念。

著录项

  • 作者

    Taherzadeh, Mahmoud.;

  • 作者单位

    University of Waterloo (Canada).;

  • 授予单位 University of Waterloo (Canada).;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2008
  • 页码 163 p.
  • 总页数 163
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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