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Open Access | Just Accepted

Polarization-aided BP Decoding for Uplink Non-orthogonal Multiple Access

Yuehui Xu1Xinyang Piao2Zhaopeng Xie3( )Yuanping Wang1Pingping Chen1

1 College of Physics and Information Engineering, Fuzhou University, Fuzhou 350108, China

2 Department of Electrical Engineering, Columbia University, Manhattan 10027, US

3 School of Advanced Manufacturing, Fuzhou University, Jinjiang 362251, China

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Abstract

In this paper, we propose a polarization-aided belief propagation (PA-BP) decoding for M-user uplink nonorthogonal multiple access (NOMA). In this scheme, polar code of each user is regarded as a nested code within a longer polar code with BP decoding, which has the length M times than that of the original user codes. It enables the PA-BP decoder to obtain all user messages with the enhanced channel polarization effect, as compared to the conventional successive interference cancellation BP (SIC-BP) decoder at finite block length. To improve the performance of PA-BP decoder, we further propose interference cancellation (IC) aided-BP (ICA-BP) and ICA-BPL list decoders that incorporates IC during PA-BP iterations. We then analyze the channel capacity of the proposed scheme and use extrinsic information transfer (EXIT) chart to show the convergence behavior of these iterative decoders. By utilizing the Monte Carlo method to optimize this long polar code, simulation results show that the proposed PA-BP outperforms the conventional SIC-BP by 0.8 dB over Gaussian channels, and by 0.7 dB over Rayleigh fading channels. In particular, ICA-BP can achieve more performance gain of 0.4 dB over PA-BP over both channels.

Tsinghua Science and Technology
Cite this article:
Xu Y, Piao X, Xie Z, et al. Polarization-aided BP Decoding for Uplink Non-orthogonal Multiple Access. Tsinghua Science and Technology, 2025, https://doi.org/10.26599/TST.2024.9010301

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Received: 26 June 2024
Revised: 03 August 2024
Accepted: 19 September 2024
Available online: 24 February 2025

© The author(s) 2025

The articles published in this open access journal are distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/).

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