User: Guest  Login
document type:
congress contribution (original) 
title:
Training Overhead for Decoding Random Linear Network Codes 
authors:
Riemensberger, M.; Sagduyu, Y. E.; Honig, M. L.; Utschick, W. 
congress title:
IEEE MILCOM 
year:
2008 
month:
November 
abstract:
We consider multicast communications from a single source to multiple destinations over a network of erasure channels. Linear network coding maximizes the achievable (min-cut) rate, and a distributed code assignment can be realized by choosing codes randomly at the intermediate nodes. It is typically assumed that the coding information (combining coefficients) at each node is included in the packet overhead, and forwarded to the destination. Instead, we assume that the network coding matrix is c...    »
 
language:
en 
TUM-institution:
Associate Institute for Signal Processing 
ingested:
17.12.2008 
format:
text