DocumentCode :
1929722
Title :
Tensor product based subspace interference alignment for network coding applications
Author :
Cadambe, Viveck R. ; Jafar, Syed A.
Author_Institution :
Res. Lab. of Electron., Massachusetts Inst. of Technol., Cambridge, MA, USA
fYear :
2011
fDate :
6-9 Nov. 2011
Firstpage :
787
Lastpage :
791
Abstract :
In this paper, we develop an interference alignment framework for multi-source (non-multicast) network coding applications. The framework developed here is based on using a tensor product structure for the network coding matrices at nodes in a network. The framework is presented in this paper in the specific context of exact repair for distributed storage, which is a multi-source network coding application. Using this framework, we generalize previously known MDS codes with optimal exact repair in distributed storage.
Keywords :
interference (signal); matrix algebra; network coding; tensors; distributed storage; interference alignment framework; multisource network coding application; network coding matrices; nonmulticast network coding application; optimal exact repair; subspace interference alignment; tensor product structure; Bandwidth; Interference; Maintenance engineering; Network coding; Systematics; Tensile stress; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Systems and Computers (ASILOMAR), 2011 Conference Record of the Forty Fifth Asilomar Conference on
Conference_Location :
Pacific Grove, CA
ISSN :
1058-6393
Print_ISBN :
978-1-4673-0321-7
Type :
conf
DOI :
10.1109/ACSSC.2011.6190114
Filename :
6190114
Link To Document :
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