A Differential Encoding Approach to Random Linear Network Coding

نویسندگان

  • Mathis Seidl
  • Michael Cyran
  • Johannes B. Huber
چکیده

A differential precoding scheme for random linear network coding is proposed and assessed. We derive the sets of parameters for which the use of higher rates and smaller packet lengths is possible when compared to the standard approach using a lifting construction. It is demonstrated how rank-metric codes may be used for this differential coding approach in order to improve performance and to deal with packet errors.

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تاریخ انتشار 2012