Experimental Evaluations of TDD-Based Massive MIMO Deployment for Mobile Network Operators

被引:13
作者
Zeydan, Engin [1 ]
Dedeoglu, Omer [2 ]
Turk, Yekta [3 ]
机构
[1] Ctr Tecnol Telecomunicac Catalunya, Barcelona 08860, Spain
[2] Turk Telekomunikasyon AS, Radio Network Planning Dept, TR-34889 Istanbul, Turkey
[3] Mobile Network Architect, TR-34889 Istanbul, Turkey
关键词
Experiments; massive MIMO; measurements; real-world testbed; TDD; FDD;
D O I
10.1109/ACCESS.2020.2974277
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Massive Multiple Input Multiple Output (MIMO) is an essential component for future wireless cellular networks. One of its biggest advantages is to use the 5G spectrum more intelligently by extending both coverage (via high gain adaptive beamforming) and capacity (via high order spatial multiplexing). In this paper, we evaluate the performance of Time-division duplex (TDD)-based massive MIMO deployment scenario in one of the commercial sites in Turkey. Our experimental results reveal three major contributions: (i) TDD-based massive MIMO in 10 Mhz reveals up to 212% and 50% higher cell throughput compared to Frequency-division duplex (FDD)-based MIMO deployments with 10 Mhz and 20 Mhz respectively. The Downlink (DL) throughput is also observed to be better in mid/far points. (ii) Together with the usage of TDD-based massive MIMO inside the same commercial site, median values of total cell traffic, Uplink (UL) Spectral Efficiency (SE) and DL schedule Transmission Time Interval (TTI) duty cycle have improved 38%, 9% and 14.5% compared to FDD-based MIMO scenario respectively. (iii) Finally, we address some of the challenges of the massive MIMO deployments and the possible trade-offs that can be observed in terms of Radio Resource Control (RRC)-connected User Equipments (UEs), cell throughput, available Sounding Reference Signal (SRS) resources and pairing opportunities provided by massive MIMO.
引用
收藏
页码:33202 / 33214
页数:13
相关论文
共 45 条
  • [21] Jiang XW, 2016, IEEE INT CONF COMM, P706, DOI 10.1109/ICCW.2016.7503870
  • [22] Achievable Rates of FDD Massive MIMO Systems With Spatial Channel Correlation
    Jiang, Zhiyuan
    Molisch, Andreas F.
    Caire, Giuseppe
    Niu, Zhisheng
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2015, 14 (05) : 2868 - 2882
  • [23] Larsson E.G., 2017, IEEE 5G Tech Focus, V1
  • [24] Sparse Bayesian Learning for the Time-Varying Massive MIMO Channels: Acquisition and Tracking
    Ma, Jianpeng
    Zhang, Shun
    Li, Hongyan
    Gao, Feifei
    Jin, Shi
    [J]. IEEE TRANSACTIONS ON COMMUNICATIONS, 2019, 67 (03) : 1925 - 1938
  • [25] Interference-Alignment and Soft-Space-Reuse Based Cooperative Transmission for Multi-cell Massive MIMO Networks
    Ma, Jianpeng
    Zhang, Shun
    Li, Hongyan
    Zhao, Nan
    Leung, Victor C. M.
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2018, 17 (03) : 1907 - 1922
  • [26] The World's First Real-Time Testbed for Massive MIMO: Design, Implementation, and Validation
    Malkowsky, Steffen
    Vieira, Joao
    Liu, Liang
    Harris, Paul
    Nieman, Karl
    Kundargi, Nikhil
    Wong, Ian C.
    Tufvesson, Fredrik
    Owall, Viktor
    Edfors, Ove
    [J]. IEEE ACCESS, 2017, 5 : 9073 - 9088
  • [27] Maternia M., 2016, Tech. Rep.
  • [28] Elevation Beamforming With Full Dimension MIMO Architectures in 5G Systems: A Tutorial
    Nadeem, Qurrat-Ul-Ain
    Kammoun, Abla
    Alouini, Mohamed-Slim
    [J]. IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2019, 21 (04): : 3238 - 3273
  • [29] Nokia, 2018, AIRSCALE BAS STAT
  • [30] Nordrum Amy, 2016, 5G RESEARCHERS SET N