TY - JOUR
T1 - Source and channel coding for correlated sources over multiuser channels
AU - Gündüz, Deniz
AU - Erkip, Elza
AU - Goldsmith, Andrea
AU - Poor, H. Vincent
N1 - Funding Information:
Manuscript received July 14, 2008; revised May 28, 2009. Current version published August 19, 2009 This work was supported in part by the U.S. National Science Foundation under Grants ANI-03-38807, CCF-04-30885, CCF-06-35177, CCF-07-28208, and CNS-06-25637, DARPA ITMANET program under Grant 1105741-1-TFIND and the ARO under MURI award W911NF-05-1-0246. The material in this paper was presented in part at the 2nd UCSD Information Theory and Applications Workshop (ITA), San Diego, CA, January 2007, at the Data Compression Conference (DCC), Snowbird, UT, March 2007, and at the IEEE International Symposium on Information Theory (ISIT), Nice, France, June 2007.
PY - 2009
Y1 - 2009
N2 - Source and channel coding over multiuser channels in which receivers have access to correlated source side information are considered. For several multiuser channel models necessary and sufficient conditions for optimal separation of the source and channel codes are obtained. In particular, the multiple-access channel, the compound multiple-access channel, the interference channel, and the two-way channel with correlated sources and correlated receiver side information are considered, and the optimality of separation is shown to hold for certain source and side information structures. Interestingly, the optimal separate source and channel codes identified for these models are not necessarily the optimal codes for the underlying source coding or the channel coding problems. In other words, while separation of the source and channel codes is optimal, the nature of these optimal codes is impacted by the joint design criterion.
AB - Source and channel coding over multiuser channels in which receivers have access to correlated source side information are considered. For several multiuser channel models necessary and sufficient conditions for optimal separation of the source and channel codes are obtained. In particular, the multiple-access channel, the compound multiple-access channel, the interference channel, and the two-way channel with correlated sources and correlated receiver side information are considered, and the optimality of separation is shown to hold for certain source and side information structures. Interestingly, the optimal separate source and channel codes identified for these models are not necessarily the optimal codes for the underlying source coding or the channel coding problems. In other words, while separation of the source and channel codes is optimal, the nature of these optimal codes is impacted by the joint design criterion.
KW - Network information theory
KW - Separation theorem
KW - Source and channel coding
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U2 - 10.1109/TIT.2009.2025566
DO - 10.1109/TIT.2009.2025566
M3 - Article
AN - SCOPUS:69449097385
SN - 0018-9448
VL - 55
SP - 3927
EP - 3944
JO - IEEE Transactions on Information Theory
JF - IEEE Transactions on Information Theory
IS - 9
ER -