John Wilson, Makesh Pravin (2010-05). Cross Layer Coding Schemes for Broadcasting and Relaying. Doctoral Dissertation. Thesis uri icon

abstract

  • 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.
  • 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.

publication date

  • May 2010