Industrial Internet of Things (IIoT) Workshop
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 5 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.
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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