TY - JOUR
T1 - Joint Wyner-Ziv/dirty-paper coding by modulo-lattice modulation
AU - Kochman, Yuval
AU - Zamir, Ram
N1 - 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.
PY - 2009
Y1 - 2009
N2 - 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.
AB - 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.
KW - Analog transmission
KW - Broadcast channel
KW - Joint source/channel coding
KW - Minimum mean-squared error (MMSE) estimation
KW - Modulo lattice modulation
KW - Unknown signal-to-noise ratio (SNR)
KW - Writing on dirty paper
KW - Wyner-Ziv (WZ) problem
UR - http://www.scopus.com/inward/record.url?scp=70349301322&partnerID=8YFLogxK
U2 - 10.1109/TIT.2009.2030488
DO - 10.1109/TIT.2009.2030488
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AN - SCOPUS:70349301322
SN - 0018-9448
VL - 55
SP - 4878
EP - 4889
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 11
ER -