Wireless Communicatons for the Internet of Things (IoT)

Welcome to Wireless Communicatons for the Internet of Things (IoT)

Description: 
The rapid proliferation of Internet of Things (IoT) applications is transforming both daily life and industrial operations, creating unprecedented demands on wireless communication systems. IoT devices exhibit diverse characteristics, communication requirements, and traffic patterns that challenge traditional network architectures and protocols. To meet these demands, wireless communication systems must evolve towards self-optimization and self-adaptation, leveraging artificial intelligence (AI) and data-driven methods.This PhD course provides an in-depth review of: 

1. The theoretical foundations for designing efficient access protocols for wireless IoT; 
2. The challenges and opportunities of IoT-enabling technologies; 
3. Machine learning and data-driven techniques for enhanced IoT connectivity; 
4. Emerging communication architectures and infrastructures for IoT 

In addition to lectures and discussions, the course features a practical session where students gain hands-on experience with NB-IoT data collection and analysis

Prerequisites: Participants are expected to have a basic understanding of wireless communication systems and protocols, including concepts such as multiple access, modulation, and link-layer mechanisms

Learning objectives: 
The students will:

1. Understand and analyze the challenges andopportunities of IoT-enabling technologies, 
2. Acquire the technical and theoretical basis to design efficient access protocols for large-scale IoT deployments, 
3. Apply data-driven and machine learning techniques to enhance IoT connectivity and network performance, 
4. Propose and justify innovative solutions to address current research challenges in wireless IoT communications.

Organizer: Hossam Farag

Lecturers: Hossam Farag, Israel Leyva-Mayorga, Cedomir Stefanovic, Jimmy Jessen Nielsen, and Shasi Raj Pandei

ECTS: 3

Time: 26 - 28 May, 2026

Place: Aalborg University

City: Aalborg

Maximal number of participants: 20

Deadline: 05 May, 2026

Important information concerning PhD courses: 

There is a no-show fee of DKK 3,000 for each course where the student does not show up. Cancellations are accepted no later than 2 weeks before the start of the course. Registered illness is of course an acceptable reason for not showing up on those days. Furthermore, all courses open for registration approximately four months before start of the course.

We cannot ensure any seats before the deadline for enrolment, all participants will be informed after the deadline, approximately 3 weeks before the start of the course.

For inquiries regarding registration, cancellation or waiting list, please contact the PhD administration at phdcourses@adm.aau.dk When contacting us please state the course title and course period. Thank you.