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Reducing Computational Overhead of Network Coding with Intrinsic Information Conveying

Publikation: KonferencebidragPaperForskning

  • Janus Heide, Aalborg Universitet, Danmark
  • Qi Zhang
  • Morten V. Pedersen, Aalborg Universitet, Danmark
  • Frank H. P. Fitzek, Aalborg Universitet, Danmark
This paper investigated the possibility of intrinsic information conveying in network coding systems. The information is embedded into the coding vector by constructing the vector based on a set of predefined rules. This information can subsequently be retrieved by any receiver.
The starting point is RLNC (Random Linear Network Coding) and the goal is to reduce the amount of coding operations both at the coding and decoding node, and at the same time remove the need for dedicated signaling messages. In a traditional RLNC system, coding operation takes up significant computational resources and adds to the overall energy consumption, which is particular problematic for mobile battery-driven devices.
In RLNC coding is performed over a FF (Finite Field). We propose to divide this field into sub fields, and let each sub field signify some information or state. In order to embed the information correctly the coding operations must be performed in a particular way, which we introduce. Finally we evaluate the suggested system and find that the amount of coding can be significantly reduced both at nodes that recode and decode.
Bidragets oversatte titelReducing Computational Overhead of Network Coding with Intrinsic Information Conveying
Antal sider5
StatusUdgivet - 2011
BegivenhedIEEE 74th Vehicular Technology Conference - San Francisco, USA
Varighed: 5 sep. 20118 sep. 2011
Konferencens nummer: 74


KonferenceIEEE 74th Vehicular Technology Conference
BySan Francisco

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