In this paper, let's exhibit the exploitation of Gaussian Approximation (GA) based detection algorithm for Non-Orthogonal Coded Access (NOCA). NOCA belongs to one candidate solution of Non-Orthogonal Multiple Access (NOMA), recently discussed for future wireless communications towards 5th Generation (5G) New Radio (NR) standard. It is well known that GA based detection algorithm was very elegantly introduced in Interleave Division Multiple Access (IDMA). As being an iterative detection approach, the computational requirement belongs to one of the major focuses of GA based detection algorithms. Thus, in this paper, the efficiency in sense of complexity, suitable use cases of GA based detection will be investigated with respect to NOCA and IDMA by link level simulations. Numerical results reveals that both IDMA and NOCA are suitable for sporadic traffic. Especially, NOCA exhibits high detection efficiency for earlier iterations, and IDMA exhibits the capability of overloading and performance convergence under very low Signal-to-Noise Ratio (SNR).


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    Titel :

    Exploiting Gaussian Approximation for Non-Orthogonal Coded Access


    Beteiligte:
    Chen, Yejian (Autor:in)


    Erscheinungsdatum :

    01.06.2018


    Format / Umfang :

    390162 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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