Welcome to Radio Simulation Techniques

Description: 

Due to the increasing complexity of radio systems, the use of advanced simulations is becoming one of the preferred methodologies for realistic performance assessments. In line with this statement, the leading industrial standardization forum for cellular systems – the Third-Generation Partnership Program (3GPP) – also relies heavily on advanced simulations when developing and benchmarking innovative features for new releases. However, for radio simulation approaches, theoretical models, and related methods, for instance to improve the runtime of simulations, continue to play an important role, and therefore analytical methods are often an integrated part of simulations.

This PhD course will focus on simulation techniques relevant for advanced radio system simulations to obtain realistic performance results. This will be exemplified through use cases with dynamic system-level simulations (SLSs) of 5G and beyond cellular radio systems. A key ingredient for simulation is selection of proper models to make sure that the performance determining effects are properly reflected for realistic radio performance results.

Many models and related methodologies for various use cases will be presented. Our focus is on generally accepted models that are largely supported by academia and industrial players, and adopted by 3GPP, as being realistic. This includes deployment models, radio propagation models, traffic models, non-terrestrial cellular networks with satellites, methodologies for Machine Learning (ML) enabled air-interface solutions, and many more.

We also present several recommendations for best practices related to preparing, running and interpreting simulation campaigns. This includes considerations of how to ensure that produced simulation results are statistically reliable and have the desired accuracy to draw trustworthy conclusions.

The course will also touch upon agile software engineering considerations for radio simulations. This is relevant since adopting good software practices are becoming increasingly important in connection with systems like 5G, 5G-Advanced, and 6G. These more extensive systems triggers more complex and elaborate SLS tools and use of different platforms and software libraries.

The course will aim at providing an intuitive understanding of the described models and methodologies, including pointers to relevant open source 3GPP documents and selected IEEE publications. Example results are used whenever feasible, with recommendations for running actual simulations. Active participation is required as a basis for the course evaluation.

Prerequisites:

Probabiliy and statistics, stochastic processes, Matlab/Python programming

Learning objectives: 

Simulation methodology, simulation scenarios from standardization, simulation models, statistical analysis of simulation results, parameter search, best practises

Organizer: 

Klaus I. Pedersen

Lecturers: 

Klaus I. Pedersen, Troels Pedersen, Troels B. Sørensen

ECTS: 1.5

Time: 13/5, 15/5, 20/5, 22/5, 27/5, 3/6 2025

Place: Aalborg University

Zip code: 9220

City: Aalborg

Maximal number of participants: 15

Deadline: 23 April 2025

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.

To attend courses at the Doctoral School in Medicine, Biomedical Science and Technology you must be enrolled as a PhD student.

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

Disclaimer:
DDSA has explicit permission from Arcanic and the owners of the https://phdcourses.dk/ website to display the courses on ddsa.dk.