Blockage and Ray Tracing Propagation Model in 3GPP Specified Industrial Environment

被引:0
|
作者
Sheikh, Muhammad Usman [1 ]
Ruttik, Kalle [1 ]
Jantti, Riku [1 ]
Hamalainen, Jyri [1 ]
机构
[1] Aalto Univ, Dept Commun & Networking, Espoo 02150, Finland
基金
芬兰科学院;
关键词
Industry; 4.0; Internet of Things (IoT); mmWave communications; Propagation; WIRELESS NETWORKS;
D O I
10.1109/ICOIN50884.2021.933909
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
The Fifth Generation (5G) of communication systems is expected to operate at sub-6 GHz band and at Millimeter Wave (mmWave) frequencies. The 28 GHz band and 60 GHz band are two lucrative and potential bands for 5G, and are getting popular since they enable standalone private network for Industrial Internet of Things (IIoT). In order to implement IIoT in practice, there is a clear need to understand the propagation characteristics in Indoor Factory (InF) environments that are characterized by high density of blockers. It is of utmost importance to ensure reliable and conclusive coverage for industry automation and IIoT. In order to address this challenge, our aim is to study and compare the performance of simplistic Line of Sight (LoS) based Blockage Model (BM) and a deterministic Ray Tracing (RT) model in a specific InF environment defined by the 3rd Generation Partnership Project (3GPP). This environment includes dense clutter of blockers and ceiling mounted Base Stations (BSs) operating at 3.5 GHz, 28 GHz and 60 GHz frequency. We also study the impact of BS densification. Performance is measured using the received power level, Signal to Interference plus Noise Ratio (SINR), outage ratio, relative throughput gain among other Key Performance Indicators (KPIs). Simulation results and related discussion provides insightful information about communication in indoor industrial environment under different circumstances.
引用
收藏
页码:397 / 402
页数:6
相关论文
共 50 条
  • [41] Measurement-based Validation of Ray-tracing Model at sub-THz for ISAC Applications of Blockage in Industrial Scenario
    Dupleich, Diego
    Sitdikov, Damir
    Ebert, Alexander
    Boban, Mate
    [J]. 2024 4TH URSI ATLANTIC RADIO SCIENCE MEETING, AT-RASC 2024, 2024,
  • [42] Performance Evaluation of a 3D Ray Tracing Model in Urban Environment
    Moghrani, R.
    Conrat, J. M.
    Begaud, X.
    Huyart, B.
    [J]. 2010 IEEE ANTENNAS AND PROPAGATION SOCIETY INTERNATIONAL SYMPOSIUM, 2010,
  • [43] An Analytical Representation of the 3GPP 3D Channel Model Parameters for mmWave Bands
    Gapeyenko, Margarita
    Petrov, Vitaly
    Moltchanov, Dmitri
    Andreev, Sergey
    Koucheryavy, Yevgeni
    Valkama, Mikko
    Akdeniz, Mustafa Riza
    Himayat, Nageen
    [J]. PROCEEDINGS OF THE 2ND ACM WORKSHOP ON MILLIMETER WAVE NETWORKS AND SENSING SYSTEMS (MMNETS'18), 2018, : 33 - 38
  • [44] Statistical LOS/NLOS Channel Model for Simulations of Next Generation 3GPP Networks
    Aleksiejunas, Rimvydas
    Cesiul, Albert
    Svirskas, Kestutis
    [J]. ELEKTRONIKA IR ELEKTROTECHNIKA, 2018, 24 (05) : 74 - 79
  • [45] Formal analysis of 3GPP authentication and key agreement based on the strand space model
    Jiang, Rui
    Li, Jian-Hua
    Pan, Li
    [J]. Shanghai Jiaotong Daxue Xuebao/Journal of Shanghai Jiaotong University, 2006, 40 (05): : 791 - 795
  • [46] 3GPP New Radio Release 16: Evolution of 5G for Industrial Internet of Things
    Baek, Sangkyu
    Kim, Donggun
    Tesanovic, Milos
    Agiwal, Anil
    [J]. IEEE COMMUNICATIONS MAGAZINE, 2021, 59 (01) : 41 - 47
  • [47] A Millimeter Wave Channel Model with Variant Angles under 3GPP SCM Framework
    Wang, Yi
    Huang, Lei
    Shi, Zhenyu
    Liu, Kunpeng
    Zou, Xiongfei
    [J]. 2015 IEEE 26TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC), 2015, : 2249 - 2254
  • [48] Spatial Channel Model Validation for 3GPP FR2 MIMO OTA
    Rodriguez-Herrera, Alfonso
    Reed, Doug
    Nuutinen, Jukka-Pekka
    [J]. 2021 15TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP), 2021,
  • [49] Investigation on the spatial-polarizational correlation based on 3GPP spatial channel model
    Nie Xin
    Zhang JianHua
    Zhang Ping
    [J]. SCIENCE CHINA-INFORMATION SCIENCES, 2014, 57 (02) : 1 - 12
  • [50] Investigation on the spatial-polarizational correlation based on 3GPP spatial channel model
    NIE Xin
    ZHANG JianHua
    ZHANG Ping
    [J]. Science China(Information Sciences), 2014, 57 (02) : 80 - 91