5730 - Mobile Communications and Internet of Things
Course information
- Title
- Mobile Communications and Internet of Things
- Course number
- 5730.24
- Academic year
- 2024-2025
- ECTS
- 7.50
- Level
- Master
- Faculties
- Science and Tecnology
- Educations
- MSc in Data Science
- Prerequisites
- Preferred prerequisites or similar courses: Algorithms and Data Structures; Computer Networks and Data Communications; Discrete Mathematics; Linear Algebra for Software Engineers; Statistical Learning; Internet Security
- Language of instruction
- The course is taught in Faroese and English.
- Registration
- Students on the 4th semester of MSc in Data Science are automatically enrolled. Applicants for an individual course must apply via the Student Affairs Office.
- Beginning date
- Tuesday, January 14, 2025
- End date
- Thursday, March 6, 2025
Academic content
- Purpose
- The purpose of this course is to equip students with a comprehensive understanding of mobile communication technologies, with a specific focus on the Internet of Things (IoT). The course aims to deepen students' knowledge of data communication protocols, and the advancements introduced by cellular networks and IoT. This course also addresses the security challenges of the integration of mobile communication technologies and IoT.
- Learning outcomes
- Upon successful completion of this course, students will be able to: Analyze cellular architecture, including its core components and key features such as eMBB, URLLC, and mMTC. Explain the principles and implementation of network slicing, SDN, and edge computing. Describe IoT Architecture and Protocols: Detail the structure and communication protocols of IoT systems, including MQTT, NB-IoT, and the roles of various IoT devices and sensors. Identify how cellular networks enhance IoT applications through improved speed, capacity, and low-latency communication, and explore real-world applications. Understand Radio Access Technologies in cellular networks: Explain key technologies such as massive MIMO and beamforming, and their impact on network performance. Address Security Challenges: Evaluate security and privacy issues regarding IoT, and apply solutions such as encryption, authentication, and blockchain technologies. AI/ML for Optimization and Analytics: Describe how to utilize artificial intelligence and machine learning techniques for network optimization and analytics in cellular and IoT contexts. Explore Future Trends: Investigate emerging advancements in cellular communication and IoT, including the evolution towards next generation networks, quantum communication, and sustainability considerations.
- Content
- This course provides a detailed exploration of the key principles and advancements in cellular and IoT technologies including: • Cellular network architecture and key features (eMBB, URLLC, mMTC). • Core network technologies: Network slicing, SDN, and edge computing. • IoT architecture: Devices, sensors, communication protocols (MQTT, NB-IoT), and data science applications for IoT analytics, including data collection, processing, and real-time insights from IoT-generated data. • Integration of mobile communication technologies and IoT: Massive IoT and real-world applications. • Radio Access Technologies (RAT) in mobile networks: Massive MIMO and beamforming. • Security challenges in IoT: Encryption, authentication, blockchain solutions. • AI/ML in IoT: Network optimization and data analytics. • Future of cellular communications: Next generation cellular networks, quantum communication, and sustainability.
- Learning and teaching approaches
- Lectures, theoretical- and computer-based exercises and assignments
Assessment
- Assessment method
- Upon successful completion of this course, students will be able to: Analyze cellular architecture, including its core components and key features such as eMBB, URLLC, and mMTC. Explain the principles and implementation of network slicing, SDN, and edge computing. Describe IoT Architecture and Protocols: Detail the structure and communication protocols of IoT systems, including MQTT, NB-IoT, and the roles of various IoT devices and sensors. Identify how cellular networks enhance IoT applications through improved speed, capacity, and low-latency communication, and explore real-world applications. Understand Radio Access Technologies in cellular networks: Explain key technologies such as massive MIMO and beamforming, and their impact on network performance. Address Security Challenges: Evaluate security and privacy issues regarding IoT, and apply solutions such as encryption, authentication, and blockchain technologies. AI/ML for Optimization and Analytics: Describe how to utilize artificial intelligence and machine learning techniques for network optimization and analytics in cellular and IoT contexts. Explore Future Trends: Investigate emerging advancements in cellular communication and IoT, including the evolution towards next generation networks, quantum communication, and sustainability considerations.
- Examination (internal/external)
- Not set
- Grading scale
- Passed/Failed
- Exam date/dates
- The written examination is set for week 12, 2025. The reexam is set for week 23, 2025.
- Deadline for withdrawal from exam
- Tuesday, January 14, 2025
Academic responsibility and teachers
- Academic responsibility
- Jóhannus Kristmundsson
- Teachers
- Jóhannus Kristmundsson