Recently, we proposed large-scale coordinated multi-user MIMO (LSC-MU-MIMO), which combines joint transmission from multiple transmission points (TPs) and MU-MIMO, to increase the system capacity of ultra high-density distributed antenna systems. Applying hybrid beamforming (BF) to LSC-MU-MIMO is effective in further increasing the system capacity. However, since the previously proposed scheduler for LSC-MU-MIMO requires all downlink channel matrices between TP and user equipment (UE) to estimate the SINR of each UE, those of all analog BF candidates are necessary when applying hybrid BF, which results in a huge channel state information (CSI) feedback overhead. Besides, the conventional scheduler has high computational complexity since it requires inverse matrix calculation. In this paper, we propose a scheduler with low CSI feedback overhead and low computational complexity for LSC-MU-MIMO with hybrid BF. The proposed scheduler estimates the SINR of each UE using the received signal power of each analog BF without inverse matrix calculation. Simulation results show that the proposed scheduler achieves almost the same throughput performance as the scheduler using full-CSI feedback and inverse matrix calculation.


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    Title :

    Scheduler Reducing CSI Feedback Overhead and Computational Complexity for 5G Ultra High-Density Distributed Antenna Systems with Hybrid BF




    Publication date :

    2017-09-01


    Size :

    346699 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



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