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Design of Quantized Decoders for Polar Codes using the Information Bottleneck Method

Authors: Shah, Aizaz; Stark, Maximilian; Bauch, Gerhard;

Design of Quantized Decoders for Polar Codes using the Information Bottleneck Method

Abstract

Polar codes are a relatively new introduction to the family of forward error correcting codes. This work deals with reducing the implementation complexity of polar decoders. To that end, a discrete successive cancellation list decoder is developed which mostly processes only unsigned integers instead of LLR values. Further, all operations inside the discrete decoder are simple table lookups. These two modifications lead to reduction in the complexity of the decoder. We show that the block error rate performance of the proposed discrete decoder is very close to that of the conventional successive cancellation list decoder.

Country
Germany
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    popularity
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    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Top 10%
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Average
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!
5
Top 10%
Top 10%
Average
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