Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/TIT.2009.2021319 | IEEE Transactions on Information Theory |
Keywords | Field | DocType |
near-capacity dirty-paper code design,2048-state tcq,ira code design,dirty-paper coding,trellis-coded quantization,extrinsic information transfer (exit) chart,source-channel coding approach,quantisation (signal),channel coding,source-channel coding,modulo loss,previous approach,irregular repeat-accumulate codes,source coding,ira code,extrinsic information transfer,packing loss,near-capacity dirty-paper code,trellis-coded quantization (tcq),exit chart-based ira code,tcq codebooks,irregular repeat–accumulate (ira) codes,trellis codes,systematics,exit,information transfer,signal to noise ratio,quantization,chart,shannon capacity,sun,codes,exit chart,encoding,mimo,source code,turbo codes | Discrete mathematics,Dirty paper coding,EXIT chart,Code rate,Systematic code,Source code,Computer science,Turbo code,Algorithm,Theoretical computer science,Shannon–Fano coding,Variable-length code | Journal |
Volume | Issue | ISSN |
55 | 7 | 0018-9448 |
Citations | PageRank | References |
25 | 1.36 | 26 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yong Sun | 1 | 25 | 1.36 |
| Yang Yang | 2 | 259 | 18.33 |
| Angelos D. Liveris | 3 | 552 | 27.92 |
| Vladimir Stankovic | 4 | 538 | 52.80 |
| Zixiang Xiong | 5 | 3444 | 275.03 |