Near-capacity dirty-paper code design: A source-channel coding approach

Yong Sun, Yang Yang, Angelos D. Liveris, Vladimir Stankovic, Zixiang Xiong

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32 Citations (Scopus)


This paper examines near-capacity dirty-paper code designs based on source-channel coding. We first point out that the performance loss in signal-to-noise ratio (SNR) in our code designs can be broken into the sum of the packing loss from channel coding and a modulo loss, which is a function of the granular loss from source coding and the target dirty-paper coding rate (or SNR). We then examine practical designs by combining trellis-coded quantization (TCQ) with both systematic and nonsystematic irregular repeat-accumulate (IRA) codes. Like previous approaches, we exploit the extrinsic information transfer (EXIT) chart technique for capacity-approaching IRA code design; but unlike previous approaches, we emphasize the role of strong source coding to achieve as much granular gain as possible using TCQ. Instead of systematic doping, we employ two relatively shifted TCQ codebooks, where the shift is optimized (via tuning the EXIT charts) to facilitate the IRA code design. Our designs synergistically combine TCQ with IRA codes so that they work together as well as they do individually. By bringing together TCQ (the best quantizer from the source coding community) and EXIT chart-based IRA code designs (the best from the channel coding community), we are able to approach the theoretical limit of dirty-paper coding. For example, at 0.25 bit per symbol (b/s), our best code design (with 2048-state TCQ) performs only 0.630 dB away from the Shannon capacity.

Original languageEnglish
Pages (from-to)3013-3031
Number of pages19
JournalIEEE Transactions on Information Theory
Issue number7
Publication statusPublished - 2009
Externally publishedYes


  • Dirty-paper coding
  • Extrinsic information transfer (EXIT) chart
  • Irregular repeat-accumulate (IRA) codes
  • Modulo loss
  • Packing loss
  • Trellis-coded quantization (TCQ)

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