Abstract
The combination of source coding with decoder side information (the Wyner-Ziv problem) and channel coding with encoder side information (the Gel'fand-Pinsker problem) can be optimally solved using the separation principle. In this work, we show an alternative scheme for the quadratic-Gaussian case, which merges source and channel coding. This scheme achieves the optimal performance by applying a modulo-lattice modulation to the analog source. Thus, it saves the complexity of quantization and channel decoding, and remains with the task of "shaping" only. Furthermore, for high signal-to-noise ratio (SNR), the scheme approaches the optimal performance using an SNR-independent encoder, thus it proves for this special case the feasibility of universal joint source-channel coding.
| Original language | English |
|---|---|
| Pages (from-to) | 4878-4889 |
| Number of pages | 12 |
| Journal | IEEE Transactions on Information Theory |
| Volume | 55 |
| Issue number | 11 |
| DOIs | |
| State | Published - 2009 |
| Externally published | Yes |
Bibliographical note
Funding Information:Manuscript received January 21, 2008; revised December 12, 2008. Current version published October 21, 2009. This work was supported by the Israeli Science Foundation (ISF) under Grant 1259/07, and by the Advanced Communication Center (ACC). The work of the first author was also supported by a fellowship of the Yitzhak and Chaya Weinstein Research Institute for Signal Processing at Tel-Aviv University. The material in this paper was presented in part at the IEEE International Symposium on Information Theory (ISIT), Seattle, WA, July 2006.
Keywords
- Analog transmission
- Broadcast channel
- Joint source/channel coding
- Minimum mean-squared error (MMSE) estimation
- Modulo lattice modulation
- Unknown signal-to-noise ratio (SNR)
- Writing on dirty paper
- Wyner-Ziv (WZ) problem