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OFDM-NOMA Error Rate Reduction Using Direct Data Detection
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DOI：10.1109/OJCOMS.2025.3582253.png)
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Abstract
En 中文
The direct data detection ( $D^{3}$ ) is proven to provide a significant error rate reduction for orthogonal multiple access (OMA) schemes because it does not directly depend on the estimated channel state information (CSI). Therefore, the $D^{3}$ would be particularly suitable for non-orthogonal multiple access (NOMA) because relaxing the dependence on the estimated CSI can improve the reliability of the detection process and reduce the residual inter-user interference (IUI). Therefore, this article proposes an integrated $D^{3}$ -NOMA where the channel state information estimation (CSIE), equalization, and detection are consolidated into one unified process. The performance of integrated $D^{3}$ -NOMA is theoretically analyzed for an arbitrary number of users, where accurate closed-form approximations are derived for the sequence error probability (SEqP) and bit error rate (BER) in frequency-selective channels. Complexity analysis is provided to compare the proposed $D^{3}$ with practical coherent detectors. The theoretical and simulation results reveal that the performance of $D^{3}$ is influenced by the distance from the base station, allocated power, signal-to-noise ratio (SNR), and channel conditions. In a two-user NOMA, the $D^{3}$ -based SEqP and BER for the far user are only 3 dB from the coherent detector with perfect CSI, and it outperforms coherent detectors with practical CSI. Moreover, the $D^{3}$ can significantly reduce or eliminate the error floors associated with the imperfect CSI in frequency-selective (FS) channels. The computational complexity of $D^{3}$ depends on the sequence length, and a significant complexity reduction is achievable using the Viterbi algorithm.
Keywords:
Orthogonal frequency-division multiplexing (OFDM)
non-orthogonal multiple access (NOMA)
fifth generation (5G)
power allocation (PA)
non-coherent detection
Journal
I
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4.3
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1.7K
Citations:
991