Poster Open Access

Adaptive Quantization of the Polar Successive Cancellation Decoder

Ertuğrul, Yiğit; Arikan, Erdal


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{
  "description": "<p>Polar codes and its implementation challenges are an active study field&nbsp;since [1]. SC decoding algorithm is the well known polar decoding algortihm&nbsp;described in [1]. The chip area of the SC decoder is dominated by memory&nbsp;and register chains in the deeply-pipelined architecture [2]. An adaptive&nbsp;quantization technique is proposed to reduce the memory complexity of the&nbsp;polar SC decoder. Due to polarization of synthesized bit channels, some&nbsp;portion of the bits could be decoded by diminishing the log-likelihood ratios&#39;<br>\n(LLRs) bit precision with a negligible communications performance loss.&nbsp;Unlike standard SC decoding, which operates with constant bit precision&nbsp;throughout decoding, this method utilizes varying number of bits to&nbsp;represent LLRs among the levels of the decoder. Bit precision of each&nbsp;decoding level could be determined by a heuristic method. Another method&nbsp;is motivated by maximizing the mutual information between the levels of the&nbsp;decoder [3]. Adaptive quantization method reduces the memory complexity&nbsp;of the decoder proportional to coding rate.</p>", 
  "license": "https://creativecommons.org/licenses/by/4.0/legalcode", 
  "creator": [
    {
      "affiliation": "Polaran Ltd.", 
      "@type": "Person", 
      "name": "Ertu\u011frul, Yi\u011fit"
    }, 
    {
      "affiliation": "Polaran Ltd.", 
      "@type": "Person", 
      "name": "Arikan, Erdal"
    }
  ], 
  "url": "https://zenodo.org/record/3565299", 
  "datePublished": "2019-12-06", 
  "keywords": [
    "Polar Codes", 
    "Polar Successive Cancellation Decoder"
  ], 
  "@context": "https://schema.org/", 
  "identifier": "https://doi.org/10.5281/zenodo.3565299", 
  "@id": "https://doi.org/10.5281/zenodo.3565299", 
  "@type": "CreativeWork", 
  "name": "Adaptive Quantization of the Polar Successive Cancellation Decoder"
}
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