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Design and Implementation of an Adaptive Algorithm for Hybrid Automatic Repeat Request

Authors: Lukasz Lopacinski; Jörg Nolte; Steffen Büchner 0002; Marcin Brzozowski; Rolf Kraemer;

Design and Implementation of an Adaptive Algorithm for Hybrid Automatic Repeat Request

Abstract

Transmission efficiency is an interesting topic for data link layer developers. The overhead of protocols and coding should be reduced to a minimum. This maximizes a link throughput. This is especially important for high-speed networks, where a small degradation of efficiency will degrade the throughput by several Gbps. We describe a redundancy balancing algorithm for an adaptive hybrid automatic repeat request with Reed-Solomon coding. We introduce a testing environment, most important technical issues, and results generated on a field programmable gate array. The hybrid automatic repeat request and Reed-Solomon algorithms are explained. We provide a mathematical description, and a block diagram of the adaptation algorithm. All necessary algorithm simplifications are explained in details. The algorithm can be represented by basic operations in hardware. In most cases, it finds the optimal coding for a predefined bit error rate.

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    popularity
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    Average
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
Powered by OpenAIRE graph
Found an issue? Give us feedback
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!
7
Average
Top 10%
Top 10%
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