Modeling of Downlink Interference in Massive MIMO 5G Macro-Cell

被引:9
|
作者
Bechta, Kamil [1 ]
Ziolkowski, Cezary [2 ]
Kelner, Jan M. [2 ]
Nowosielski, Leszek [2 ]
机构
[1] Nokia Solut & Networks, PL-54130 Wroclaw, Poland
[2] Mil Univ Technol, Fac Elect, Inst Commun Syst, PL-00908 Warsaw, Poland
关键词
5G; downlink; interference; signal-to-interference ratio (SIR); massive MIMO; multi-beam antenna system; multi-elliptical propagation model; 3GPP standard; INTERCELL INTERFERENCE; SYSTEM; ANGLE; ARCHITECTURE; COEXISTENCE; SIMULATION; NETWORKS; ARRIVAL; DESIGN;
D O I
10.3390/s21020597
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Multi-beam antenna systems are the basic technology used in developing fifth-generation (5G) mobile communication systems. In practical implementations of 5G networks, different approaches are used to enable a massive multiple-input-multiple-output (mMIMO) technique, including a grid of beams, zero-forcing, or eigen-based beamforming. All of these methods aim to ensure sufficient angular separation between multiple beams that serve different users. Therefore, ensuring the accurate performance evaluation of a realistic 5G network is essential. It is particularly crucial from the perspective of mMIMO implementation feasibility in given radio channel conditions at the stage of network planning and optimization before commercial deployment begins. This paper presents a novel approach to assessing the impact of a multi-beam antenna system on an intra-cell interference level in a downlink, which is important for the accurate modeling and efficient usage of mMIMO in 5G cells. The presented analysis is based on geometric channel models that allow the trajectories of propagation paths to be mapped and, as a result, the angular power distribution of received signals. A multi-elliptical propagation model (MPM) is used and compared with simulation results obtained for a statistical channel model developed by the 3rd Generation Partnership Project (3GPP). Transmission characteristics of propagation environments such as power delay profile and antenna beam patterns define the geometric structure of the MPM. These characteristics were adopted based on the 3GPP standard. The obtained results show the possibility of using the presented novel MPM-based approach to model the required minimum separation angle between co-channel beams under line-of-sight (LOS) and non-LOS conditions, which allows mMIMO performance in 5G cells to be assessed. This statement is justified because for 80% of simulated samples of intra-cell signal-to-interference ratio (SIR), the difference between results obtained by the MPM and commonly used 3GPP channel model was within 2 dB or less for LOS conditions. Additionally, the MPM only needs a single instance of simulation, whereas the 3GPP channel model requires a time-consuming and computational power-consuming Monte Carlo simulation method. Simulation results of intra-cell SIR obtained this way by the MPM approach can be the basis for spectral efficiency maximization in mMIMO cells in 5G systems.
引用
收藏
页码:1 / 17
页数:17
相关论文
共 50 条
  • [1] Downlink Interference in Multi-Beam 5G Macro-Cell
    Bechta, Kamil
    Ziolkowski, Cezary
    Kelner, Jan M.
    Nowosielski, Leszek
    [J]. 2020 23RD INTERNATIONAL MICROWAVE AND RADAR CONFERENCE (MIKON 2020), 2020, : 140 - 143
  • [2] An Efficient and Fair Scheduling for Downlink 5G Massive MIMO Systems
    Chataut, Robin
    Akl, Robert
    [J]. PROCEEDINGS OF THE 2020 IEEE TEXAS SYMPOSIUM ON WIRELESS AND MICROWAVE CIRCUITS AND SYSTEMS (WMCS), 2020,
  • [3] Interference Modeling and Outage Analysis for 5G Downlink NOMA
    Anwar, Asim
    Seet, Boon-Chong
    Li, Xue Jun
    [J]. 2017 IEEE 85TH VEHICULAR TECHNOLOGY CONFERENCE (VTC SPRING), 2017,
  • [4] Massive MIMO for 5G
    Omar, Abbas
    [J]. PROCEEDINGS OF 2019 36TH NATIONAL RADIO SCIENCE CONFERENCE (NRSC), 2019, : KS2 - KS2
  • [5] System Performance of Cooperative Massive MIMO Downlink 5G Cellular Systems
    He, Chao
    Gitlin, Richard D.
    [J]. 2016 IEEE 17TH ANNUAL WIRELESS AND MICROWAVE TECHNOLOGY CONFERENCE (WAMICON), 2016,
  • [6] Deep Transfer Learning for 5G Massive MIMO Downlink CSI Feedback
    Zeng, Jun
    He, Zhengran
    Sun, Jinlong
    Adebisi, Bamidele
    Gacanin, Haris
    Gui, Guan
    Adachi, Fumiyuki
    [J]. 2021 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2021,
  • [7] Downlink Performance of Uplink Fractional Power Control in 5G Massive MIMO Systems
    Baracca, Paolo
    Giordano, Lorenzo Galati
    Garcia-Rodriguez, Adrian
    Geraci, Giovanni
    Lopez-Perez, David
    [J]. 2018 IEEE GLOBECOM WORKSHOPS (GC WKSHPS), 2018,
  • [8] Unlocking Massive MIMO Downlink Capacity in City-Wide 5G Deployments
    Zhang, Siming
    Doufexi, Angela
    Nix, Andrew
    [J]. 2017 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC), 2017,
  • [9] Robust Frequency Selective Precoding for Downlink Massive MIMO in 5G Broadband System
    Xu, Qian
    Sun, Jianyong
    Xu, Zongben
    [J]. IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2023, 72 (12) : 15941 - 15952
  • [10] 5G MASSIVE MIMO技术
    伍株仪
    [J]. 电子技术与软件工程, 2019, (08) : 49 - 50