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Wireless Personal Communications
Article . 2021 . Peer-reviewed
License: Springer TDM
Data sources: Crossref
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Perpetual Network Coding for Delay Sensitive Applications

Authors: Sanaz Mohammadi; Peyman Pahlevani; Daniel E. Lucani;

Perpetual Network Coding for Delay Sensitive Applications

Abstract

Random Linear Network Coding (RLNC) is an erasure network coding technique used to improve communication and content distribution. However, RLNC is not efficient for data streaming applications, e.g., video streaming, where the data packets must be delivered in order and decoded within a tight deadline. Although some approaches have been proposed, these approaches have high computational complexity or require continuous feedback from the destination. Perpetual coding is an alternative approach which reduces the computational complexity and decrease per packet decoding delay at the destination. This paper focuses on improving decoding delay of communication systems by designing coding schemes based on Perpetual coding. Our simulation results demonstrate that the proposed schemes achieve a gain of $$67\%$$ under a variety of channel conditions.

Keywords

Computational complexity, Delay, Random linear network coding (RLNC), Perpetual coding

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
2
Average
Average
Average
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