In ultra-dense RAN consisting of a large number of distributed antennas, the coverage and the capacity can be improved by forming a number of user clusters (also called virtual small cells) with each cluster consisting of neighbor users and by executing cluster-wise small-scale MIMO in parallel using the same radio resource. However, a straightforward clustering produces a severe inter-cluster interference (ICI) and the capacity improvement is much smaller than expected. In this paper, we propose a joint multilayered user clustering and scheduling. This approach is based on user clustering using the user location information, user-cluster layering based on the interference-offset-distance (IOD), antenna assignment on each layer, simple layer-by-layer round-robin-type scheduling and cluster-wise MIMO. We evaluate by computer simulation the user capacity, the sum capacity, and the fairness to show the effectiveness of the proposed joint multilayered user clustering and scheduling.


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    Titel :

    Joint Multilayered User Clustering and Scheduling for 5G Advanced Ultra-dense RAN


    Beteiligte:
    Takahashi, Ryo (Autor:in) / Matsuo, Hidenori (Autor:in) / Adachi, Fumiyuki (Autor:in)


    Erscheinungsdatum :

    01.11.2020


    Format / Umfang :

    1282953 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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