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Cross layer coding schemes for broadcasting and relaying.

机译:广播和中继的跨层编码方案。

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摘要

This dissertation is divided into two main topics. In the first topic, we study the joint source-channel coding problem of transmitting an analog source over a Gaussian channel in two cases---(i) the presence of interference known only to the transmitter and (ii) in the presence of side information about the source known only to the receiver. We introduce hybrid digital analog forms of the Costa and Wyner-Ziv coding schemes. We present random coding based schemes in contrast to lattice based schemes proposed by Kochman and Zamir. We also discuss superimposed digital and analog schemes for the above problems which show that there are infinitely many schemes for achieving the optimal distortion for these problems. This provides an extension of the schemes proposed by Bross and others to the interference/source side information case. The result of this study shows that the proposed hybrid digital analog schemes are more robust to a mismatch in channel signal-to-noise ratio (SNR), than pure separate source coding followed by channel coding solutions. We then discuss applications of the hybrid digital analog schemes for transmitting under a channel SNR mismatch and for broadcasting a Gaussian source with bandwidth compression. We also study applications of joint source-channel coding schemes for a cognitive setup and also for the setup of transmitting an analog Gaussian source over a Gaussian channel, in the presence of an eavesdropper.;In the next topic, we consider joint physical layer coding and network coding solutions for bi-directional relaying. We consider a communication system where two transmitters wish to exchange information through a central relay. The transmitter and relay nodes exchange data over synchronized, average power constrained additive white Gaussian noise channels. We propose structured coding schemes using lattices for this problem. We study two decoding approaches, namely lattice decoding and minimum angle decoding. Both the decoding schemes can be shown to achieve the upper bound at high SNRs. The proposed scheme can be thought of as a joint physical layer, network layer code which outperforms other recently proposed analog network coding schemes. We also study extensions of the bi-directional relay for the case with asymmetric channel links and also for the multi-hop case. The result of this study shows that structured coding schemes using lattices perform close to the upper bound for the above communication system models.
机译:本文分为两个主要主题。在第一个主题中,我们研究了在两种情况下通过高斯信道传输模拟源的联合源-信道编码问题:(i)仅存在发射机已知的干扰,以及(ii)存在边有关仅接收者知道的来源的信息。我们介绍了Costa和Wyner-Ziv编码方案的混合数字模拟形式。与Kochman和Zamir提出的基于格的方案相比,我们提出了基于随机编码的方案。我们还讨论了上述问题的叠加数字和模拟方案,这些方案表明存在无数种方案来实现这些问题的最佳失真。这将Bross等人提出的方案扩展到干扰/源侧信息的情况。这项研究的结果表明,所提出的混合数字模拟方案对于信道信噪比(SNR)的失配比在信道编码解决方案之后的纯独立源编码更健壮。然后,我们讨论混合数字模拟方案在信道SNR不匹配下进行传输以及通过带宽压缩广播高斯信号源的应用。我们还将研究联合源信道编码方案在认知设置以及在有窃听者存在的情况下通过高斯信道传输模拟高斯源的设置的应用。在下一个主题中,我们将考虑联合物理层编码双向中继的网络编码解决方案。我们考虑一个通信系统,其中两个发送器希望通过中央继电器交换信息。发射机和中继节点通过同步的,平均功率受限的加性高斯白噪声通道交换数据。我们针对这个问题提出了使用晶格的结构化编码方案。我们研究了两种解码方法,即点阵解码和最小角度解码。两种解码方案都可以显示为在高SNR时达到上限。可以将提出的方案视为联合物理层,即网络层代码,其性能优于最近提出的其他模拟网络编码方案。我们还研究了双向中继的扩展,适用于不对称信道链路的情况以及多跳情况。这项研究的结果表明,使用格的结构化编码方案的性能接近上述通信系统模型的上限。

著录项

  • 作者

    John Wilson, Makesh Pravin.;

  • 作者单位

    Texas A&M University.;

  • 授予单位 Texas A&M University.;
  • 学科 Engineering Electronics and Electrical.
  • 学位 Ph.D.
  • 年度 2010
  • 页码 174 p.
  • 总页数 174
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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