Target Audience
- 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
Duration & Training Format
Instructor-Led Training
[Classroom: 4 days / LIVE Virtual*: 28 hours]
[Classroom: 4 days / LIVE Virtual*: 28 hours]
*Note:
- 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.
Upcoming Course Dates
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.
Course Objectives
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
Course Outline
- 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)
- 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
- IoT Architecture
- IoT Architecture Layer
- IoT Stack
- Industry 4.0
- CPS (Cyber-Physical Systems)
- IACS (Industrial Automation and Control Systems)
- SCADA (Supervisory Control and Data Acquisition)
- 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
- 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
Pre-requisites
- 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
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