mca 18: e3

Research Article

BER Performance of NOMA Downlink for AWGN and Rayleigh Fading Channels in (SIC)

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  • @ARTICLE{10.4108/eai.20-6-2022.174227,
        author={Mohamed Hassan and Manwinder Singh and Khalid Hamid},
        title={BER Performance of NOMA Downlink for AWGN and Rayleigh Fading Channels in (SIC)},
        journal={EAI Endorsed Transactions on Mobile Communications and Applications: Online First},
        volume={},
        number={},
        publisher={EAI},
        journal_a={MCA},
        year={2022},
        month={6},
        keywords={Non-orthogonal multiple access (NOMA), power domain (PD), successive interference canceller (SIC), bit-error rate (BER)},
        doi={10.4108/eai.20-6-2022.174227}
    }
    
  • Mohamed Hassan
    Manwinder Singh
    Khalid Hamid
    Year: 2022
    BER Performance of NOMA Downlink for AWGN and Rayleigh Fading Channels in (SIC)
    MCA
    EAI
    DOI: 10.4108/eai.20-6-2022.174227
Mohamed Hassan1,*, Manwinder Singh1, Khalid Hamid2
  • 1: Dept. of Wireless Communication, Lovely Professional University – India
  • 2: Dept. of Electronics and Communication, University of Science & Technology – Sudan
*Contact email: mhbe4321@gmail.com

Abstract

Non-orthogonal multiple access (NOMA) is a great option for an upcoming radio access network due to its ability to provide enormous connections and high spectral efficiency. However, NOMA's primary issue is the error with successive interference cancellation (SIC). This paper aims to examine bit error rate (BER) downlink (DL) NOMA power domain (PD) for various SNR levels in additive white Gaussian noise (AWGN) as well as in Rayleigh fading channels utilizing Quadrature Phase Shift Keying (QPSK) for three different scenarios, to clearly differentiate the more effect of distance, bandwidth (BW), and power location coefficients factors using the MATLAB simulation software program. The BER versus SNR results were obtained in terms of charts for different BWs, distances, and power location coefficients. According to the findings, the BW parameter has the strongest effect on BER DL NOMA PD when compared to the distance, and power location coefficient parameters.