In order to tackle rapidly increasing traffic, distributed Massive MIMO (DM-MIMO) has been proposed for fifth-generation (5G) mobile communication systems. DM-MIMO coordinates lots of distributed transmission points (TPs) that are located in ultra-high density (UHD) and that use an appropriate number of antenna elements. Furthermore, DM-MIMO with UHD-TPs can create user-centric virtual cells corresponding to user mobility. To deploy TPs for DM-MIMO, some key parameters such as the number of the distributed TPs, the number of antenna elements for each TP, and proper distance between TPs should be determined. Conventional works have shown such key parameters for DM-MIMO with UHD-TPs by computer simulations. However, these parameters have not been evaluated in actual deployment environments. We measure low-SHF- band (4.5 GHz) radio propagation channel in indoor and outdoor experiments of DM-MIMO with UHD-TPs. Then, by exploiting the experimental results, the appropriate numbers of antenna elements based on maximum system throughput criterion are shown for 5G DM-MIMO by computer simulations.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Antenna Deployment of 5G Ultra High-Density Distributed Massive MIMO by Low-SHF-Band Indoor and Outdoor Experiments




    Publication date :

    2017-09-01


    Size :

    667027 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Millimeter Wave Network Deployment for Cell-Free Massive MIMO in Indoor Dense Spaces

    Topal, Ozan Alp / Demir, Ozlem Tugfe / Björnson, Emil et al. | BASE

    Free access


    Indoor Experimental Trial in High SHF Wide-Band Massive MIMO Hybrid Beamforming

    Nonaka, Nobuhide / Muraoka, Kazushi / Suyama, Satoshi et al. | IEEE | 2019


    Massive MIMO Indoor Localization with 64-Antenna Uniform Linear Array

    Liu, Bin / Guevara, Andrea P. / Bast, Sibren De et al. | IEEE | 2020