Binary Linear Codes With Optimal Scaling: Polar Codes With Large Kernels

نویسندگان

چکیده

We prove that, for the binary erasure channel (BEC), polar-coding paradigm gives rise to codes that not only approach Shannon limit but do so under best possible scaling of their block length as a function gap capacity. This result exhibits first known family attain both optimal and quasi-linear complexity encoding decoding. Our proof is based on construction analysis polar with large kernels. When communicating reliably at rates within ε > 0 capacity, code n often scales O(1/ε μ ), where constant μ called exponent. It exponent = 2, it achieved by random linear codes. The conventional (based 2×2 kernel) BEC 3.63. falls far short guaranteed main contribution rigorous following result: BEC, there exist l × kernels, such constructed from these kernels achieve μ( ) tends value 2 grows. furthermore characterize precisely how needs be between 2. resulting maintain recursive structure codes, thereby O(n) encoding/decoding O(nlogn).

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ژورنال

عنوان ژورنال: IEEE Transactions on Information Theory

سال: 2021

ISSN: ['0018-9448', '1557-9654']

DOI: https://doi.org/10.1109/tit.2020.3038806