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Polarization Weight Family Methods for Polar Code Construction

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arxiv 1805.02813 v1 pith:FML2MBJG submitted 2018-05-08 cs.IT math.IT

Polarization Weight Family Methods for Polar Code Construction

classification cs.IT math.IT
keywords polarcodeconstructionmethodmethodsbaseschannelcodes
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Polar codes are the first proven capacity-achieving codes. Recently, they are adopted as the channel coding scheme for 5G due to their superior performance.A polar code for encoding length-K information bits in length-N codeword could be specified by the polar code construction method. Most construction methods define a polar code related to channel parameter set, e.g. designed signal-to-noise ratio. Polarization weight (PW) is a channel-independent approximation method, which estimates the subchannel reliability as a function of its index. In this paper, we generalize the PW method by including higher-order bases or extended bases. The proposed methods have robust performance while preserving the computational and mathematical simplicity as PW.

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  1. Improved Logical Error Rate via List Decoding of Quantum Polar Codes

    quant-ph 2023-04 unverdicted novelty 6.0

    List decoding of entanglement-free quantum polar codes yields logical error rates competitive with surface codes and LDPC codes of similar size, with class-probability approximation providing further improvement.