Industrial Internet of Things (IIoT) Workshop

Remote access control of industrial arm in smart factory using tablet
  • Anyone interested to understand IIoT technology and its use cases
  • Radio, Packet Core Engineers and Managers involved in the planning and design of wireless networks
  • Project Managers, IP Engineers, Technical Product Managers, Technical Product Marketing professionals, Technical Strategy Officials
  • C-level Decision Makers & Executives, Regulators
Instructor-Led Training
[Classroom: 4 days / LIVE Virtual*: 28 hours]
  • A minimum of 6 or more participants are required for a company-based LIVE Virtual course to commence
  • LIVE Virtual courses can be conducted for 5 hours or 7 hours daily. Please note that the number of training days will be extended if you opt for 5 hours daily.

There are no upcoming course dates currently scheduled for this course. If you are keen on attending this course, please register your interest and indicate your preferred start/end training dates via our course enquiry form for us to open a Classroom/LIVE Virtual class schedule for this course.

Upon completion of this course, the participants would be able to:

  • Understand the difference between different IoT: Industrial, Commercial & Consumer
  • Evaluating IIoT enablers and IIoT automation stack
  • ANSI/ISA-95, or ISA-95
  • Industry 4.0
  • CPS (Cyber-Physical Systems)
  • IACS (Industrial Automation and Control Systems)
  • SCADA (Supervisory Control and Data Acquisition)
  • M2M, IoE, Machine Learning, Distributed Computing, Artificial  Intelligence
  • Master 5G architecture and solutions for Monetization-specific features and capabilities
  • Describe the 5G network architecture and its key technologies for Service launch acceleration
  • Illustrate the Cloud & Edge computing components and partner platform Integration
  • Describe typical IIoT Use Cases and deployment scenarios
  • Gain competitive advantage learning conditions necessary to support Virtualization, IoT and Edge Computing
  1. IIoT Technology Enablers
  • Small Cells
  • Mass-Scale MIMO, Massive MIMO
  • Software-Defined Radio (SDR)
  • Centralized RAN vs Cloud RAN
  • NFV, SDN, and Cloud Networking
  • Massive Machine Communication (MMC)
  • Massive Internet of Things (IoT)
  • 5G Ultra Reliable and Low Latency Communication (URLLC)
  1. Overview of IoT Connectivity Methods and Technologies
  • ZigBee PRO, ZigBee 3.0 and ZigBee IP
  • 6LowPAN
  • RFID
  • Bluetooth LE or Bluetooth Smart Technology
  • Z-Wave
  • IEEE 802.15.4, IEEE 802.15.4e, 802.11ah
  • 802.11ah, Wi-Fi HaLow
  • GSM, CDMA, GPRS,3G, LTE, small cells, SATCOM
  • Sensors and Sensor Networks
  • MIPI, M-PHY, UniPro, SPMI, BIF,  SuperSpeed USB Inter-Chip (SSIC), Mobile PCIe (M-PCIe) and SPI
  • Wired Connectivity
  • IPv4 / IPv6
  1. IoT Architecture
  1. IoT Architecture Layer
  1. IoT Stack
  • Industry 4.0
  • CPS (Cyber-Physical Systems)
  • IACS (Industrial Automation and Control Systems)
  • SCADA (Supervisory Control and Data Acquisition)
  1. IIoT Framework Analysis
  • Existing Taxonomies
  • MEC Application Enablement Framework
  • MEC Services
  • MEC Deployment Options in 3GPP 5GS
  • CUPS and Common API Framework
  • MEC Impact on Existing Operational Systems
  1. Case Studies
  • Factory Automation
  • Smart Warehouses
  • Smart Cities
  • Enhanced Autonomous Transport V2X – Vehicle Telematics
  • Mining, Oil and Gas Automation
  • Ports
  • Stadiums
  • Remote and Control Centres
  • Accelerated and Real-Time Gaming
  • Collaborative and Mobile Robots
  • Video Surveillance and Security
  • 5G First Responders
  • Emergency Management with Drones
  • COVID Solutions
  • Knowledge of wireless networks and functions
  • Basic understanding of IP-based communication
  • Experience with IT infrastructure (i.e. Ethernet, Switches, Routers)
  • Understanding of current 3G/4G/5G Air Interface and Core Network technologies
Enrolled: 0 students
Duration: Classroom: 4 days / LIVE Virtual: 28 hours
Level: Virtual Training

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