Poster Open Access

Adaptive Quantization of the Polar Successive Cancellation Decoder

Ertuğrul, Yiğit; Arikan, Erdal

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<identifier identifierType="DOI">10.5281/zenodo.3565299</identifier>
<creators>
<creator>
<creatorName>Ertuğrul, Yiğit</creatorName>
<givenName>Yiğit</givenName>
<familyName>Ertuğrul</familyName>
<affiliation>Polaran Ltd.</affiliation>
</creator>
<creator>
<creatorName>Arikan, Erdal</creatorName>
<givenName>Erdal</givenName>
<familyName>Arikan</familyName>
<affiliation>Polaran Ltd.</affiliation>
</creator>
</creators>
<titles>
<title>Adaptive Quantization of the Polar Successive Cancellation Decoder</title>
</titles>
<publisher>Zenodo</publisher>
<publicationYear>2019</publicationYear>
<subjects>
<subject>Polar Codes</subject>
<subject>Polar Successive Cancellation Decoder</subject>
</subjects>
<dates>
<date dateType="Issued">2019-12-06</date>
</dates>
<resourceType resourceTypeGeneral="Text">Poster</resourceType>
<alternateIdentifiers>
<alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3565299</alternateIdentifier>
</alternateIdentifiers>
<relatedIdentifiers>
<relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3565298</relatedIdentifier>
<relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/epic_h2020</relatedIdentifier>
</relatedIdentifiers>
<rightsList>
<rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
</rightsList>
<descriptions>
<description descriptionType="Abstract">&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;</description>
</descriptions>
<fundingReferences>
<fundingReference>
<funderName>European Commission</funderName>
<funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
<awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/760150/">760150</awardNumber>
<awardTitle>Enabling Practical Wireless Tb/s Communications with Next Generation Channel Coding</awardTitle>
</fundingReference>
</fundingReferences>
</resource>

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