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Separating distributed source coding from network coding
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Source IEEE/ACM Transactions on Networking (TON) archive
Volume 14 ,  Issue SI  (June 2006) table of contents
Special issue on networking and information theory
Pages: 2785 - 2795  
Year of Publication: 2006
ISSN:1063-6692
Authors
Aditya Ramamoorthy  Marvell Semiconductor Inc., Santa Clara, CA and Department of Electrical Engineering, University of California, Los Angeles, CA
Kamal Jain  Microsoft Research, Redmond, WA
Philip A. Chou  Microsoft Research, Redmond, WA
Michelle Effros  Department of Electrical Engineering, California Institute of Technology, Pasadena, CA
Publisher
IEEE Press  Piscataway, NJ, USA
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DOI Bookmark: 10.1109/TIT.2006.874534

ABSTRACT

This correspondence considers the problem of distributed source coding of multiple sources over a network with multiple receivers. Each receiver seeks to reconstruct all of the original sources. The work by Ho et al. 2004 demonstrates that random network coding can solve this problem at the potentially high cost of jointly decoding the source and the network code. Motivated by complexity considerations we consider the performance of separate source and network codes. Previous work by Effros et al. 2003 demonstrates the failure of separation between source and network codes for nonmulticast networks.We demonstrate that failure for multicast networks. We study networks with capacity constraints on edges. It is shown that the problem with two sources and two receivers is always separable. Counterexamples are presented for other cases.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Collaborative Colleagues:
Aditya Ramamoorthy: colleagues
Kamal Jain: colleagues
Philip A. Chou: colleagues
Michelle Effros: colleagues