Multiuser Detection Using Hidden Markov Model

  title={Multiuser Detection Using Hidden Markov Model},
  author={Fangjiong Chen and Sam Kwong},
  journal={IEEE Transactions on Vehicular Technology},
Many existing multiuser detection algorithms assume that the user sequences are independent and identically distributed (i.i.d.). These algorithms, however, may not be efficient when the user sequences sent to a multiuser system are time correlated due to signal processing procedures such as channel coding. In this paper, we assume that the user sequences are time correlated and can be modeled as first-order, finite-state Markov chains. The proposed algorithm applies the decision feedback… CONTINUE READING


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