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5G and IoT Training

Powered by 5G technology, the IoT has become one of the most important technologies of the 21st century.

Now that we can connect everyday objects—kitchen appliances, cars, thermostats, baby monitors—to the internet via embedded devices, seamless communication is possible between people, processes and things.

By means of low-cost computing, the cloud, big data, analytics and mobile technologies, physical things can share and collect data with minimal human intervention. In this hyperconnected world, digital systems can record, monitor, and adjust each interaction between connected things.

In other words, the physical world meets the digital world—and they cooperate.

IoT Intelligent Applications are prebuilt software-as-a-service (SaaS) applications that can analyze and present captured IoT sensor data to business users via dashboards.

IoT applications use machine learning algorithms to analyze massive amounts of connected sensor data in the cloud. Using real-time IoT dashboards and alerts, you gain visibility into key performance indicators, statistics for mean time between failures, and other information. Machine learning–based algorithms can identify equipment anomalies and send alerts to users and even trigger automated fixes or proactive counter measures.

IoT specialists believe the personal or business possibilities of the IoT are endless. Today, businesses are motivated by IoT and the prospects of increasing revenue, reducing operating costs and improving efficiencies.

Businesses also are driven by a need for regulatory compliance. Regardless of the reasons, IoT device deployments provide the data and insights necessary to streamline workflows, visualize usage patterns, automate processes, meet compliance requirements, and compete more effectively in a changing business environment.

It’s important for organizations to understand that there’s an incredibly broad range of things that fall under the Internet of Things umbrella: Internet-connected “smart” versions of traditional appliances like refrigerators and light bulbs; gadgets that could only exist in an internet-enabled world like Alexa-style digital assistants; internet-enabled sensors that are transforming factories, healthcare, transportation, distribution centers and farms.

Then there’s IoT Intelligent Applications that are prebuilt software-as-a-service (SaaS) applications that can analyze and present captured IoT sensor data to business users via dashboards.

With 5G fueling the movement, the IoT is expanding – rapidly. Tech analysts predict there will be 41.6 billion connected IoT devices by 2025, with industrial and automotive equipment representing the largest opportunity of connected “things” followed by smart homes and wearable devices.

Standards for IoT are set by the 3rd Generation Partnership Project (3GPP). 

5G and IoT Training Course by Tonex

5G and IoT Training helps the participants to develop new skills to plan, model, design, operate, and control 5G and IoT systems. You’ll learn how to apply fundamental 5G and IoT concepts and principles to the real world challenges.

Who Should Attend

This course is designed for mobile and IoT designers, embedded systems engineers, programmers, software engineers, testers, managers and other engineers supporting 5G and IoT systems and traditional engineering teams charged with the design and development of secure public/private 5G and IoT.

How You Will Benefit

  • Develop advanced knowledge in the planning design, modeling, and control of 5G and IoT systems.
  • Keep abreast of the latest advances in 5G and IoT systems engineering, smart systems and technologies.
  • Increase your marketability in the industry with a certificate from a Top training institute.

Key Modules/Topics

Module 1: IoT and 5G Applications Scenarios

  • A Brief Overview of 5G and IoT
  • IoT Characteristics
  • IoT Application Characteristics
  • Massive IoT, Broadband IoT, Critical IoT, Industrial Automation IoT and Cellular IoT (CIoT)
  • Massive Machine Type Communications (mMTC)
  • Characteristics and 5G IoT Solutions

Module 2: Overview of Selected 5G IoT Use Cases

  • Industrial Digitization
  • Industry 4.0
  • Intelligent Health Management
  • Smart Agriculture
  • Intelligent Transportation Infrastructure
  • Smart Grid
  • Smart Factories
  • Smart Cities

Module 3: 5G Requirements of IoT

  • IoT Radio Channels
  • IoT Channel Capacity
  • Optimization of 5G IoT
  • 5G IoT Capacity Management and Optimization
  • Single Cell Point-to-Multipoint
  • Coverage Enhancements
  • Network Slicing
  • Resource Efficiency
  • Management for IoT
  • Bulk Operations for IoT
  • Efficient User Plane
  • Network Capability Exposure
  • Energy Efficiency
  • Priority, QoS and Policy Control
  • QoS Monitoring
  • Security
  • Testing
  • Certification

Module 4: IoT Deployment in 5G

  • Applicability of 5G to IoT
  • 5G Evolution and Roadmap for IoT
  • Short range, Medium Range connectivity, and Low power wide area networks (LPWAN)
  • NB-IoT, LTE-M
  • Dynamic Network Slicing
  • Network Exposure
  • Spectrum Flexibility
  • Device Flexibility
  • Inter Radio Access (RAT) Support
  • Interface with NB-IoT and LTE-M
  • Non-public Networks
  • Cyberphysical Control Applications in Vertical Domains
  • 5G Support for Industrial IoT Applications Utilizing Robotics
  • Cyberphysical-based Manufacturing Systems (CPMS)
  • Cyberphysical Production Systems (CPPS)

Module 5: Main Challenges of the IoT in 5G Network

  • IoT Electromagnetic Spectrum and its Regulation
  • IoT and Dynamic Spectrum Access
  • Spectral Efficiency
  • Spectrum Monitoring
  • Interference and Jamming
  • Path Loss
  • Power Budget
  • Range versus speed
  • New spectrum allocations for 5G
  • IoT Power Density and Coverage
  • Battery Life Enhancements
  • Power Save Mode
  • Deployment Scenarios
  • Radio Resources and Channels
  • 5G Network and Device Enhancements for IoT
  • Downlink Traffic Processing
  • Uplink Traffic Processing
  • Security Threats and Mitigations

Module 6: 5G IoT Positioning and Location Services

  • IoT Device Positioning
  • Received signal strength (RSS)
  • Time-of-arrival (TOA)
  • Angle-of-arrival (AOA
  • Time difference of arrival (TDoA)
  • E-CID (E-Cell ID)

Case Study 1: IoT Device Testing, Compatibility and Marketplace

  • AT&T
  • Verizon
  • T-Mobile

Case Study 2: Data Rate and Density Requirements for Various Broadband Scenarios 

  • What 5G promises for IoT
  • Frequency bands
  • Deployment and coverage
  • Device support
  • IoT Requirements—Critical and Mass
  • Data rate and density requirements for various broadband scenarios
  • Urban macro
  • Indoor hotspot
  • Broadband access in a crowd
  • High-speed train
  • High-speed vehicle


5G and IoT Training

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