Title :
On Random Network Coding for Multicast
Author :
Campo, A.T. ; Grant, A.
Author_Institution :
Univ. Pompeu Fabra, Barcelona
Abstract :
Random linear network coding is a particularly decentralized approach to the multicast problem. Use of random network codes introduces a non-zero probability however that some sinks will not be able to successfully decode the required sources. One of the main theoretical motivations for random network codes stems from the lower bound on the probability of successful decoding reported by Ho et. al. (2003). This result demonstrates that all sinks in a linearly solvable network can successfully decode all sources provided that the random code field size is large enough. This paper develops a new bound on the probability of successful decoding.
Keywords :
linear codes; multicast communication; probability; multicast; nonzero probability; random linear network coding; Decoding; Encoding; Galois fields; Linear code; Network coding; Polynomials; Signal processing; Terminology; Throughput; Upper bound;
Conference_Titel :
Information Theory, 2007. ISIT 2007. IEEE International Symposium on
Conference_Location :
Nice
Print_ISBN :
978-1-4244-1397-3
DOI :
10.1109/ISIT.2007.4557449