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Polar Coding for Non-Stationary Channels - MaRDI portal

Polar Coding for Non-Stationary Channels

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Publication:5138867

DOI10.1109/TIT.2020.3020929zbMATH Open1453.94044arXiv1611.04203OpenAlexW3082374076MaRDI QIDQ5138867

Hessam Mahdavifar

Publication date: 4 December 2020

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Abstract: The problem of polar coding for an arbitrary sequence of independent binary-input memoryless symmetric (BMS) channels leftWiighti=1N is considered. The sequence of channels is assumed to be completely known to both the transmitter and the receiver (a coherent scenario). Also, at each code block transmission, each of the channels is used only once. In other words, a codeword of length N is constructed and then the i-th encoded bit is transmitted over Wi. The goal is to operate at a rate R close to the average of the symmetric capacities of Wi's, denoted by overlineIN. To this end, we construct a polar coding scheme using Arikan's channel polarization transform in combination with certain permutations at each polarization level and certain skipped operations. In particular, given a non-stationary sequence of BMS channels leftWiighti=1N and Pe, where 0<Pe<1, we construct a polar code of length N and rate R guaranteeing a block error probability of at most Pe for transmission over leftWiighti=1N such that N leq frac{kappa}{(overline{I}_N - R)^{mu}}, where mu is a constant and kappa is a constant depending on Pe and mu. We further show a numerical upper bound on mu that is: muleq7.34 for non-stationary binary erasure channels and muleq8.54 for general non-stationary BMS channels. The encoding and decoding complexities of the constructed polar code preserve O(NlogN) complexity of Arikan's polar codes. In an asymptotic sense, when coded bits are transmitted over a non-stationary sequence of BMS channels leftWiighti=1infty, our proposed scheme achieves the average symmetric capacity overline{I}(left{W_i ight}_{i=1}^{infty}) := lim_{N ightarrow infty} frac{1}{N}sum_{i=1}^N I(W_i), assuming that the limit exists.


Full work available at URL: https://arxiv.org/abs/1611.04203






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