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author:

Chen, Pingping (Chen, Pingping.) [1] | Wang, Cong (Wang, Cong.) [2] | Fang, Yi (Fang, Yi.) [3] | Chen, Pengfei (Chen, Pengfei.) [4]

Indexed by:

EI

Abstract:

This paper investigates an efficient power allocation for channel decoding algorithms in two-user downlink non-orthogonal multiple access (NOMA). We consider three successive interference cancellation (SIC) algorithms with low-density parity-check (LDPC) codes, i.e., the SIC treats interference as noise (N-SIC) algorithm, the SIC treats modulation of interference signal as auxiliary information (J-SIC), and the SIC exchanges the external decoding information of the signals for two users (E-SIC). To improve the decoding accuracy, we propose power allocation algorithms for SIC decoding based on fairness index and outage probability respectively. The rate-fairness of users is also optimized. Simulation results show that the iterative E-SIC can achieve a significant performance gain over N-SIC and J-SIC, and this gain is much smaller when the power allocation (PA) is used in the three SIC decodings. Moreover, we analyze performance bound of Polyanskiy-Poor-Verdu (PPV) finite-length for the SIC decodings. It provides a theoretical analysis for the optimization of frame error rate (FER) by power allocation. © 2021 IEEE.

Keyword:

Bioinformatics Energy efficiency Forward error correction Iterative decoding

Community:

  • [ 1 ] [Chen, Pingping]Fuzhou University, Department of Electronic Information, Fuzhou, China
  • [ 2 ] [Wang, Cong]Fuzhou University, Department of Electronic Information, Fuzhou, China
  • [ 3 ] [Fang, Yi]Guangdong University of Technology, School of Information Engineering, Guangzhou, China
  • [ 4 ] [Chen, Pengfei]Fuzhou University, Department of Electronic Information, Fuzhou, China

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ISSN: 2326-828X

Year: 2021

Volume: 2021-April

Page: 145-150

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 0

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