Description:
The 5G cycle of standardization has entered a mature phase. However, there is an abundance of state-of-the-art research topics that are not currently covered by 5G standardization. The aim of this course is to provide research insights in these topics and prepare the attendees for the research and development of beyond 5G systems.

Contents:

Introduction:
Overview of 5G standardization. Beyond 5G: kay aspects, standardization scope, challenges and approaches. Information- and communication-theory for beyond 5G systems. Beyond massive MIMO: intelligent surfaces. Advanced access networking algorithms. Data driven and machine learning assisted optimization of network operations. Non-terrestrial networks in 5G and beyond.

Teaching methods:
Lectures. Presentation by students.

Evaluation:
The attendees will be assessed based on the presentation of the beforehand assigned topics.

Learning objects:
Understanding the novelty, challenges and approaches for beyond 5G systems. Understanding of the information- and communication-theoretic models for beyond 5G systems. Understanding and working knowledge on advanced physical and link layer schemes tailored for beyond 5G systems. Understanding and working knowledge on novel network architectures, and the role and the potential of machine learning-aided network optimization.

Organizer: Prof. Cedomir Stefanovic, cs@es.aau.dk

Lecturers:
Prof. Cedomir Stefanovic, Assoc. Prof. Beatriz Soret, Assist. Prof Israel Leyva Mayorga, Postdoc Federico Chiarotti, Postdoc Pablo Ramirez, Assoc. Professor Jimmy Jessen Nielsen and Prof. Petar Popovski

ECTS: 3.0

Time: 24, 25, 31 October and 1 November 2022

Place: Aalborg Unversity

Number of seats: 20

Deadline: 3 October 2022

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce 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 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. This can hopefully also provide new students a chance to register for courses during the year.
We look forward to your registrations.

Description:
Multi-antenna technique is a key enabling technology to enable high date-rate and reliable wireless communication. Knowledge of the invisible radio channels is key to system design and performance evaluation. This course will cover the fundamentals of radio channels and multi-antenna techniques. Its application for 4G and 5G cellular systems will be covered as well. The course will cover both theoretical as well as experimental aspects of the topics.

Prerequisites:
Basic knowledge of wireless communication and signal processing

Organizer: Associate Professor Wei Fan

Lecturers: Associate Professor Wei Fan

ECTS: 3.0

Time: Early December 2022

Place: TBA

Number of seats: 25

Deadline: TBA

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce 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 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. This can hopefully also provide new students a chance to register for courses during the year.
We look forward to your registrations.

Description:
The 5G and satellite communication industry are growing rapidly, as evidenced by a number of evolution trends such as the deployment of low-Earth orbit (LEO) constellations, new application cases for autonomous vehicles, remote health, smart home and cities. To address the new requirements
 emerging during the evolution the communication system is facing significant challenges (e.g. ultra high reliability, extremely low latency, and high power efficiency) we never experienced before.

 The recent advances in artificial intelligence (AI), including machine learning (ML), deep learning (DL) and Big Data hold promising potential for addressing many complex problems in 5G and satellite communication systems, e.g. network management, service orchestration, and system design and optimization.

 This course aims to deliver the knowledge about the fundamentals and the state-of-the-art ML and DL technologies tailored for 5G and satellite communication systems. The course will cover three main topics:

Application of ML/DL in communication devices

  • Modeling of electronic devices using ML and DL
  • Design of electronic components using supervised learning
  • Linearization of power amplifiers using DNN

Modeling and characterization of communication sub-systems

  • Modeling of subsystems using DNN
  • Transceiver linearization (active phased arrays) using DNN
  • Channel characterization using DNN (NLOS detection, DoA)

ML/DL based performance optimization for wireless communication

  • System calibration and beam-forming using ML
  • SVM and DNN based indoor localization
  • Remote fault diagnosis of satellite communication
  • Digital signal recovery using DNN for satellite to ground links

Prerequisites: Basic circuit and antenna theory, basic physics, basic knowledge on wireless communication systems, elementary knowledge on satellites.

Organizer: Ming Shen, mish@es.aau.dk

Lecturers:
Ming Shen, Associate Professor, Aalborg University
Feridoon Jalili, PhD Fellow
Martin H. Nielsen, PhD Fellow
Specialist from GomSpace (TBD)

ECTS: 3

Time: 12, 14, 19 April 2022 (3 lectures in 3 days, 4 hours each with 1 mini-project)

Place: Aalborg University, DK-9220 Aalborg East

Number of seats: 20

Deadline: 22 March 2022

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce 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 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. This can hopefully also provide new students a chance to register for courses during the year. 
We look forward to your registrations.



Description:
As the fifth generation (5G) cellular communication systems are being deployed, the investigation and development of 5G beyond and 6G communication systems have been started to meet the expected need for higher data rates, better energy efficiency, lower latencies and higher reliability in the future. Nowadays, the research and development of 5G are intensively undergoing in both industry and academia. 5G standardization has nearly finished, and the commercialization has started in quite a few countries. As the next step, some 6G concepts and trials have also been initiated, which yields a long list of candidates. One of the key enabling techniques in 6G systems is the use of large intelligent surface placed between the mobile devices and base stations to adaptively optimize the MIMO channel scatterers at sub 6 GHz or enhance the coverage of millimeter-wave signals. Another aspect is use of huge arrays in MIMO context (massive MIMO) at millimeter-wave frequencies which has different design and operating options due LOS vs NLOS deployments. The support of extreme low latencies (e.g. below 100 µs) with ultra-high reliability calls for disruptive physical and medium access control design. Also, 6G may revolutionize the way air interface is designed. Differently from traditional radio design, based on heuristic parameters or rule-based solutions, 6G will strongly leverage artificial intelligence (AI) techniques for adapting the air interface components (e.g., modulation, waveforms, signaling schemes) to the experienced channel, operations conditions, and specific service requirements.

This course will offer a holistic dive into the main challenges and possible solutions for the low layers of 6G design. In particular, the course will address the following:

• The state of art and designs of large intelligent surfaces.

• Millimeter-wave Massive MIMO antenna design methodology.

• Technology enablers of extreme communication requirements such as ultra-low latencies with six to nine-nines reliability.

• The use of machine learning and AI techniques for optimization of the air-interface and physical layer algorithms.

Prerequisites: Basic knowledge of electro-magnetics in radio terms, communication and probability theory, as obtained through MSc engineering studies at Aalborg University, is expected.

Organizer: Shuai Zhang

Lecturers:
Shuai Zhang
Gilberto Berardinelli
Carles Navarro Manchón

ECTS: 3.5

Time: 24, 25 and 30 of May, and 2 and 3 of June.

Place: Physical attendance at Aalborg University, 

The 24, 25, 30 May, Kl. 09:00 – 12:00, room FRB 7C3-204

The 2 June, kl. 09:00 – 16:00, room FRB 7B2-104

The 3 June, kl. 09:00 – 12:00, room FRB 7B2-104


Number of seats: 25

Deadline: 3 May 2022

Important information concerning PhD courses:
We have over some time experienced problems with no-show for both project and general courses. It has now reached a point where we are forced to take action. Therefore, the Doctoral School has decided to introduce 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 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. This can hopefully also provide new students a chance to register for courses during the year. 
We look forward to your registrations.