Poster Open Access

Adaptive Quantization of the Polar Successive Cancellation Decoder

Ertuğrul, Yiğit; Arikan, Erdal


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        <foaf:name>Ertuğrul, Yiğit</foaf:name>
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            <foaf:name>Polaran Ltd.</foaf:name>
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        <foaf:name>Arikan, Erdal</foaf:name>
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            <foaf:name>Polaran Ltd.</foaf:name>
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    <dct:title>Adaptive Quantization of the Polar Successive Cancellation Decoder</dct:title>
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    <dct:issued rdf:datatype="http://www.w3.org/2001/XMLSchema#gYear">2019</dct:issued>
    <dcat:keyword>Polar Codes</dcat:keyword>
    <dcat:keyword>Polar Successive Cancellation Decoder</dcat:keyword>
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    <dct:description>&lt;p&gt;Polar codes and its implementation challenges are an active study field&amp;nbsp;since [1]. SC decoding algorithm is the well known polar decoding algortihm&amp;nbsp;described in [1]. The chip area of the SC decoder is dominated by memory&amp;nbsp;and register chains in the deeply-pipelined architecture [2]. An adaptive&amp;nbsp;quantization technique is proposed to reduce the memory complexity of the&amp;nbsp;polar SC decoder. Due to polarization of synthesized bit channels, some&amp;nbsp;portion of the bits could be decoded by diminishing the log-likelihood ratios&amp;#39;&lt;br&gt; (LLRs) bit precision with a negligible communications performance loss.&amp;nbsp;Unlike standard SC decoding, which operates with constant bit precision&amp;nbsp;throughout decoding, this method utilizes varying number of bits to&amp;nbsp;represent LLRs among the levels of the decoder. Bit precision of each&amp;nbsp;decoding level could be determined by a heuristic method. Another method&amp;nbsp;is motivated by maximizing the mutual information between the levels of the&amp;nbsp;decoder [3]. Adaptive quantization method reduces the memory complexity&amp;nbsp;of the decoder proportional to coding rate.&lt;/p&gt;</dct:description>
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