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[期刊论文]

Polarization-Aided Coding for Nonorthogonal Multiple Access

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author:

Xie, Zhaopeng (Xie, Zhaopeng.) [1] | Chen, Pingping (Chen, Pingping.) [2] | Fang, Yi (Fang, Yi.) [3] | Unfold

Indexed by:

EI

Abstract:

In this article, we propose a polarization-aided polar coding scheme over nonorthogonal multiple access channels operated with physical-layer network coding (PN-NOMA), where M users adopt polar coding for transmission. By exploiting the characteristic of physical-layer network coding and polar encoding, we found that the polar code at the users can be seen as nested codes and subcodeword of a larger polar code. It enables us to construct a single (virtual) polar code at the receiver, which has the length M times longer than that of the original user codes. In this way, we can decode all the user messages within this single polar code. The channel polarization effect as well as the decoding performance can be improved. We further propose a Monte Carlo-based code construction for the virtual polar code with user channel coefficients, and short nested user codes can be individually derived from this code. Simulation results show that the proposed PN-NOMA can achieve significant performance gains of more than 0.5 dB as compared to conventional polar-coded NOMA (PC-NOMA) over power-imbalanced channels, and this gain is more than 2 dB over Rayleigh fading channels. © 2014 IEEE.

Keyword:

Channel coding Decoding Encoding (symbols) Fading channels Network coding Network layers Polarization Rayleigh fading

Community:

  • [ 1 ] [Xie, Zhaopeng]Fuzhou University, School of Advanced Manufacturing, Jinjiang, Fuzhou; 350108, China
  • [ 2 ] [Chen, Pingping]Fuzhou University, School of Advanced Manufacturing, The College of Physics and Information Engineering, Fuzhou; 350108, China
  • [ 3 ] [Fang, Yi]Guangdong University of Technology, School of Information Engineering, Guangzhou; 510006, China
  • [ 4 ] [Chen, Qiwang]Huaqiao University, School of Information Science and Engineering, Xiamen; 361021, China

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Source :

IEEE Internet of Things Journal

Year: 2024

Issue: 17

Volume: 11

Page: 27894-27903

8 . 2 0 0

JCR@2023

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

30 Days PV: 1

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