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  4. Cooperative data exchange based on MDS codes
 
conference paper

Cooperative data exchange based on MDS codes

Li, Su  
•
Gastpar, Michael C.  
2017
Proceedings of the 2017 IEEE International Symposium on Information Theory
2017 IEEE International Symposium on Information Theory

The coded cooperative data exchange problem is studied for the fully connected network. In this problem, each node initially only possesses a subset of the K packets making up the file. Nodes make broadcast transmissions that are received by all other nodes. The goal is for each node to recover the full file. In this paper, we present a polynomial-time deterministic algorithm to compute the optimal (i.e., minimal) number of required broadcast transmissions and to determine the precise transmissions to be made by the nodes. A particular feature of our approach is that each of the K − d transmissions is a linear combination of exactly d + 1 packets, and we show how to optimally choose the value of d. We also show how the coefficients of these linear combinations can be chosen by leveraging a connection to Maximum Distance Separable (MDS) codes.

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Type
conference paper
DOI
10.1109/ISIT.2017.8006761
Author(s)
Li, Su  
Gastpar, Michael C.  
Date Issued

2017

Published in
Proceedings of the 2017 IEEE International Symposium on Information Theory
Subjects

Approximation algorithms

•

Optimization

•

Linear codes

•

Complexity theory

•

Computational modeling

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LINX  
Event nameEvent placeEvent date
2017 IEEE International Symposium on Information Theory

Aachen, Germany

June 25-30, 2017

Available on Infoscience
August 18, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/139709
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