Factory Radio Design of a 5G Network in Offline Mode

The manufacturing industry is connecting people and equipment with new digital technologies, enabling a more continuous stream of data to represent processes. With more things connected, the interest in a connectivity solution that can support communication with high reliability and availability will increase. The fifth generation of telecommunication, i.e., 5G has promising features to deliver this, but the factory environment introduces new challenges to ensure reliable radio coverage. This will require efficient ways to plan the Factory Radio Design prior to installation. 3D laser scanning is used at an ever-increasing rate for capturing the spatial geometry in a virtual representation to perform layout planning of factories. This paper presents how to combine 3D laser scanning and physical optics (PO) for planning the Factory Radio Design of a cellular Long-Term Evolution (LTE) network (5G) in a virtual environment. 3D laser scanning is applied to obtain the spatial data of the factory and the virtual representation serves as the environment where PO computation techniques can be performed. The simulation result is validated in this paper by comparison to measurements of the installed network and empirical propagation models. The results of the study show promising opportunities to simulate the radio coverage in a virtual representation of a factory environment.

[1]  Emmanuel A. Oyekanlu,et al.  A Review of Recent Advances in Automated Guided Vehicle Technologies: Integration Challenges and Research Areas for 5G-Based Smart Manufacturing Applications , 2020, IEEE Access.

[2]  Jyri Hämäläinen,et al.  Indoor planning optimization of ultra-dense cellular networks at high carrier frequencies , 2015, 2015 IEEE Wireless Communications and Networking Conference Workshops (WCNCW).

[3]  H. Tullberg,et al.  The Foundation of the Mobile and Wireless Communications System for 2020 and Beyond: Challenges, Enablers and Technology Solutions , 2013, 2013 IEEE 77th Vehicular Technology Conference (VTC Spring).

[4]  Klaus-Dieter Thoben,et al.  First Steps for a 5G-Ready Service in Cloud Manufacturing , 2018, 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC).

[5]  John Norrish,et al.  Recent Progress on Programming Methods for Industrial Robots , 2010, ISR/ROBOTIK.

[6]  Gedong Jiang,et al.  Cloud-Manufacturing-Based Condition Monitoring Platform With 5G and Standard Information Model , 2021, IEEE Internet of Things Journal.

[7]  Michele Luvisotto,et al.  A Look Inside 5G Standards to Support Time Synchronization for Smart Manufacturing , 2020, IEEE Communications Standards Magazine.

[8]  Iván González Diego,et al.  Propagation model based on ray tracing for the design of personal communication systems in indoor environments , 2000, IEEE Trans. Veh. Technol..

[9]  Lu Lu,et al.  Solutions for Variant Manufacturing Factory Scenarios Based on 5G Edge Features , 2020, 2020 IEEE International Conference on Edge Computing (EDGE).

[10]  Stefan Parkvall,et al.  5G radio access , 2014 .

[11]  Katsuyuki Haneda,et al.  On-Site Permittivity Estimation at 60 GHz Through Reflecting Surface Identification in the Point Cloud , 2018, IEEE Transactions on Antennas and Propagation.

[12]  Jonatan Berglund,et al.  On The Trade-off between Data Density and Data Capture Duration in 3D Laser Scanning for Production System Engineering☆ , 2016 .

[13]  Oleg Iupikov,et al.  Digital Beamforming Focal Plane Arrays for Radio Astronomy and Space-Borne Passive Remote Sensing , 2017 .

[14]  Theodore S. Rappaport,et al.  Millimeter-Wave Cellular Wireless Networks: Potentials and Challenges , 2014, Proceedings of the IEEE.

[15]  Lihui Wang,et al.  Review: Advances in 3D data acquisition and processing for industrial applications , 2010 .

[16]  Zhong Fan,et al.  Emerging technologies and research challenges for 5G wireless networks , 2014, IEEE Wireless Communications.

[17]  Marianna V. Ivashina,et al.  Fast and Accurate Analysis of Reflector Antennas With Phased Array Feeds Including Multiple Reflections Between Feed and Reflector , 2014, IEEE Transactions on Antennas and Propagation.

[18]  Aleksandar Jevtic,et al.  Telecommunications Network Planning and Maintenance , 2008 .

[19]  More than 50 billion connected devices , 2011 .

[20]  Ben Allen,et al.  LTE-Advanced and Next Generation Wireless Networks: Channel Modelling and Propagation , 2012 .

[21]  Katsuyuki Haneda,et al.  Indoor Propagation Channel Simulations at 60 GHz Using Point Cloud Data , 2016, IEEE Transactions on Antennas and Propagation.

[22]  B. Bangerter,et al.  Networks and devices for the 5G era , 2014, IEEE Communications Magazine.

[23]  Shanzhi Chen,et al.  The requirements, challenges, and technologies for 5G of terrestrial mobile telecommunication , 2014, IEEE Communications Magazine.

[24]  Francis Enejo Idachaba,et al.  5G networks: Open network architecture and densification strategies for beyond 1000x network capacity increase , 2016, 2016 Future Technologies Conference (FTC).

[25]  José Bonnet,et al.  Intelligent Network Services enabling Industrial IoT Systems for Flexible Smart Manufacturing , 2018, 2018 14th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob).

[26]  Maria-Teresa Martinez-Ingles,et al.  Wireless channel simulation using geometrical models extrated from point clouds , 2018, 2018 IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting.

[27]  Burcin Becerik-Gerber,et al.  Imaged-based verification of as-built documentation of operational buildings , 2012 .

[28]  Andreas F. Molisch,et al.  The COST 259 Directional Channel Model-Part II: Macrocells , 2006, IEEE Transactions on Wireless Communications.

[29]  Anass Benjebbour,et al.  Design considerations for a 5G network architecture , 2014, IEEE Communications Magazine.

[30]  Holger Karl,et al.  Prototyping and Demonstrating 5G Verticals: The Smart Manufacturing Case , 2019, 2019 IEEE Conference on Network Softwarization (NetSoft).

[31]  Taoka Hidekazu,et al.  Scenarios for 5G mobile and wireless communications: the vision of the METIS project , 2014, IEEE Communications Magazine.

[32]  Kate A. Remley,et al.  Improving the accuracy of ray-tracing techniques for indoor propagation modeling , 2000, IEEE Trans. Veh. Technol..

[33]  Ralph R. Martin,et al.  Reverse engineering of geometric models - an introduction , 1997, Comput. Aided Des..

[34]  M. V. Ivashina,et al.  Domain-Decomposition Approach to Krylov Subspace Iteration , 2016, IEEE Antennas and Wireless Propagation Letters.

[35]  A. Hammoudeh,et al.  Millimetric wavelengths radiowave propagation for line-of-sight indoor microcellular mobile communications , 1995 .

[36]  Stevan Grubisic,et al.  An efficient indoor ray-tracing propagation model with a quasi-3D approach , 2014 .

[37]  Zhihua Lai,et al.  Outdoor-Indoor Channel , 2012 .