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author:

Qiu, Yuping (Qiu, Yuping.) [1] | Xie, Zhaopeng (Xie, Zhaopeng.) [2] | Kang, Peng (Kang, Peng.) [3] | Chen, Pingping (Chen, Pingping.) [4] | Fang, Yi (Fang, Yi.) [5]

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Abstract:

In this paper, we propose a two-user polar-coded physical-layer network coding (TU-PC-PNC) scheme for the Gaussian multiple access channel (GMAC) to enhance the transmission reliability. We first investigate the characteristics of polar encoding and derive the concatenated codeword structure, by which we can implement the message exclusive OR (XOR)-based PNC via code construction and improve the channel polarization effect. The PNC-aided decoding rule based on the concatenated codeword is then invented to compute the initial messages for recovery. In addition, we introduce the joint optimization framework by Monte Carlo-based method, which can be used to optimize the polar code and power allocation with maximized sum user rate. The capacity analysis of the bit-channels and simulation results show that the proposed TU-PC-PNC can significantly outperform the benchmark scheme by more than 1 dB under the GMAC. © 1967-2012 IEEE.

Keyword:

Channel coding Decoding Encoding (symbols) Gaussian distribution Monte Carlo methods Network coding Network layers

Community:

  • [ 1 ] [Qiu, Yuping]Fuzhou University, College of Physics and Information Engineering, Fuzhou; 350108, China
  • [ 2 ] [Xie, Zhaopeng]Fuzhou University, College of Physics and Information Engineering, Fuzhou; 350108, China
  • [ 3 ] [Kang, Peng]Fuzhou University, College of Physics and Information Engineering, Fuzhou; 350108, China
  • [ 4 ] [Chen, Pingping]Fuzhou University, College of Physics and Information Engineering, Fuzhou; 350108, China
  • [ 5 ] [Chen, Pingping]Singapore University of Technology and Design, 487372, Singapore
  • [ 6 ] [Fang, Yi]Guangdong University of Technology, School of Information Engineering, Guangzhou; 510006, China

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Source :

IEEE Transactions on Vehicular Technology

ISSN: 0018-9545

Year: 2024

Issue: 6

Volume: 73

Page: 9083-9087

6 . 1 0 0

JCR@2023

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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