Ultra-densification of radio access network (RAN) is essential to efficiently handle ever-increasing mobile data traffic. In ultra-dense RAN consisting of a large number of distributed antennas and users, the computational complexity of large-scale multi-user MIMO (MU-MIMO) becomes prohibitively high. To solve this complexity problem, users can be grouped into several clusters and cluster-wise MU-MIMO is carried out using the same radio resource simultaneously. However, strong inter-cluster interference is produced. Furthermore, distributed radio resource management (RRM) is desirable to make possible highly scalable and flexible deployment of ultra-dense RAN. However, in return, inter-cell interference is produced. Recently, in order to mitigate these interferences, the authors presented the concept of enhanced interference coordination (eIC) for ultra-dense RAN. In this paper, we describe the eIC using multi-layered user clustering and evaluate the user capacity, the sum capacity, and the fairness among users by computer simulation to show the effectiveness of the proposed eIC.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Performance of Enhanced Interference Coordination Using Multi-layered Clustering for 5G Advanced Ultra-dense RAN


    Contributors:


    Publication date :

    2021-04-01


    Size :

    2289043 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Enhanced Interference Coordination and Radio Resource Management for 5G Advanced Ultra-dense RAN

    Adachi, Fumiyuki / Takahashi, Ryo / Matsuo, Hidenori | IEEE | 2020


    Inter-Cell Interference Sub-Space Coordination for 5G Ultra-Dense Networks

    Karimi, Ali / Mahmood, Nurul Huda / Pedersen, Klaus Ingemann et al. | IEEE | 2017


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

    Takahashi, Ryo / Matsuo, Hidenori / Adachi, Fumiyuki | IEEE | 2020



    Dynamic RRH Clustering using Affinity Propagation Algorithm in Ultra-Dense C-RAN

    Park, Seju / Jo, Han-Shin / Mun, Cheol et al. | IEEE | 2020