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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
copyright statement:
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ingested:
17.12.2008
format:
text