Localized dimension growth in random network coding: A convolutional approach
We propose an efficient Adaptive Random Convolutional Network Coding (ARCNC) algorithm to address the issue of field size in random network coding. ARCNC operates as a convolutional code, with the coefficients of local encoding kernels chosen randomly over a small finite field. The lengths of local...
Main Authors: | , , , |
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Other Authors: | , |
Format: | Article |
Language: | English |
Published: |
Institute of Electrical and Electronics Engineers (IEEE),
2012-10-09T15:14:43Z.
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Subjects: | |
Online Access: | Get fulltext |