Degree
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PhD in Physics & Mathematics, associate professor, Southern Federal University |
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E-mail
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vl.deundyak@gmail.com |
Location
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Rostov-on-Don |
Articles
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Symbolic erasure-correcting codes in random linear networksThe paper concentrating on random linear network coding in the presence of symbolic erasures
besides packets errors and erasures. New models of network are constructed based on two new models
of nodes with extended node alphabets. Alphabets of those nodes include special symbols to save
linear transformation with corresponding coordinate of packet, which occurs during linear combinations
on the following nodes on network. In the first model, extending alphabet contains only one special
symbol “*”, in the second model, every node has personal alphabet that not intersected with others.
Network coding methods based on Koetter-Kschischang-Silva network codes and channel errorcorrecting
codes are represented. Coding methods are based on idea of cascading use of channel and
network coders on network’s source. On sinks of network applies both as channel code decoder and
network code decoder with some modifications in reverse order. First coding method uses first model
of nodes and applied in case of number of symbols erasures does not exceed the error-correcting capability
of channel code. In the opposite case are applied second model and corresponding coding
method, which are representing probability decoder. An applicability opportunity of these methods to
unauthorized using of linear networks by illegal user is noticed.
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