• Corpus ID: 246016447

Clustering-based Joint Channel Estimation and Signal Detection for NOMA

@article{Salari2022ClusteringbasedJC,
  title={Clustering-based Joint Channel Estimation and Signal Detection for NOMA},
  author={Ayoob Salari and Mahyar Shirvanimoghaddam and Muhammad Basit Shahab and Reza Arablouei and Sarah Johnson},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.06245}
}
—We propose a joint channel estimation and signal detection approach for the uplink non-orthogonal multiple access (NOMA) using unsupervised machine learning. We apply a Gaussian mixture model (GMM) to cluster the received signals, and accordingly optimize the decision regions to enhance the symbol error rate (SER) performance. We show that, when the re- ceived powers of the users are sufficiently different, the proposed clustering-based approach achieves an SER performance on a par with that of… 

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