Cross-layer design for video transmission over wireless rician slow-fading channels using an adaptive multiresolution modulation and coding scheme

Yong Pei, James W. Modestino

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

We describe a multilayered video transport scheme for wireless channels capable of adapting to channel conditions in order to maximize end-to-end quality of service (QoS). This scheme combines a scalable H.263+ video source coder with unequal error protection (UEP) across layers. The UEP is achieved by employing different channel codes together with a multiresolution modulation approach to transport the different priority layers.Adaptivity to channel conditions is provided through a joint source-channel coding (JSCC) approach which attempts to jointly optimize the source and channel coding rates together with the modulation parameters to obtain the maximum achievable end-to-end QoS for the prevailing channel conditions. In this work, we model the wireless links as slow-fading Rician channel where the channel conditions can be described in terms of the channel signal-to-noise ratio (SNR) and the ratio of specular-to-diffuse energy ζ2 . The multiresolution modulation/coding scheme consists of binary rate-compatible punctured convolutional (RCPC) codes used together with nonuniform phase-shift keyed (PSK) signaling constellations. Results indicate that this adaptive JSCC scheme employing scalable video encoding together with a multiresolution modulation/coding approach leads to significant improvements in delivered video quality for specified channel conditions. In particular, the approach results in considerably improved graceful degradation properties for decreasing channel SNR.

Original languageEnglish
Article number86915
JournalEurasip Journal on Advances in Signal Processing
Volume2007
DOIs
StatePublished - Jul 6 2007

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Fading channels
Channel coding
Modulation
Signal to noise ratio
Quality of service
Convolutional codes
Phase shift
Telecommunication links
Degradation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

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