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Enabling energy internet via machine-type communications

Yksittäinen kurssi

The course introduces the different definitions of Energy Internet and how the technological advances in machine-type communications (MTC) are enabling its development. A review of the state-of-the-art in both communication and power grid will be provided.

Course contents

  1. Introduction to IoT-based systems
  2. Basics of machine-type communications
  3. Applications and extreme modes of operation in 5G (massive MTC, ultra-reliable low-latency communications and broadband)
  4. Energy Internet: Packetised management of the energy system
  5. IoT-enabled energy internet via MTC: Examples
  6. Energy internet via MTC: Future perspectives.

Learning outcomes

After the course, the student will be able to

  1. define what energy internet is and how the technological advances in machine-type communications (MTC) are enabling its development.
  2. model human and machine type traffic.
  3. differentiate operation modes ofthe internet of things (IoT), namely ultra-reliable low-latency communications (URLLC) and massive machine-type communications (mMTC) in addition to the broadband communications.
  4. propose possible ways to manage the energy system based on packetised energy together with the required IoT/MTC solutions.

Course material

The course is an online course and the material is found on the course platform.

More information in LUT University’s study guide.

You can get a digital badge after completing this course.

Vastuuopettaja

LUT-yliopisto
Pedro Nardelli

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FITech-verkostoyliopisto
Monica Sandberg, Opintoasioiden suunnittelija
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Kategoria:
ICT-opinnot
Teemat:
5G-teknologia,
Teollinen internet
Kurssikoodi:
BL40A2040
Opintopisteet:
4 ECTS
Hinta:
0 €
Taso:
Opetusaika:
7.3.–22.4.2022
Viimeinen hakupäivä:
27.2.2022
Järjestävä yliopisto:
LUT-yliopisto
Kohderyhmä:
Aikuisopiskelija,
Tutkinto-opiskelija
Opetustavat:
Verkko-opetus
Kieli:
Englanti
Esitietovaatimukset:
Basic knowledge of signal processing, communications, networking and information theories is desirable. Recommended courses: Introduction to IoT-based systems, Wireless Communication Systems and Wireless Communication Networks.
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