Joint design of fixed-rate source codes and UEP channel codes for fading channels

Hai Xin Tie, Andrea Goldsmith, Michelle Effros

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations


We study an iterative design algorithm that jointly optimizes source and channel codes for image transmission over Rayleigh fading channels. The joint design combines channel-optimized vector quantization (COVQ) for the source code with a family of rate-compatible punctured convolutional codes for the unequal-error-protection (UEP) channel code. We consider both hard-decision and soft-decision decoding for these channel codes. Our objective is to minimize the average end-to-end distortion, averaged over both the source and channel statistics. For a given channel SNR and transmission rate, our joint source and channel code design achieves an optimal allocation of bits between the source and channel coders. This optimal allocation can reduce distortion by up to 7 dB over suboptimal allocations for the source data set considered. Our joint iterative design exhibits a coding gain over COVQ of 1.5 dB for hard-decision decoding and 3 dB for soft-decision decoding.

Original languageEnglish (US)
Pages (from-to)92-96
Number of pages5
JournalConference Record of the Asilomar Conference on Signals, Systems and Computers
StatePublished - 1998
Externally publishedYes
EventProceedings of the 1998 32nd Asilomar Conference on Signals, Systems & Computers. Part 1 (of 2) - Pacific Grove, CA, USA
Duration: Nov 1 1998Nov 4 1998

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Computer Networks and Communications


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