10.06.2021

AGH UST students finish second best at IEEE Signal Processing Cup 2021


A team of students from the Signal Processing Section of the Institute of Electronics, the Faculty of Computer Science, Electronics and Telecommunications won second place in the prestigious international competition IEEE Signal Processing Cup 2021.

The Team

The team’s supervisor is Szymon Woźniak, MSc, a PhD student at the Signal Processing Section, who for the second time has successfully led the team of AGH UST students to the finals of the IEEE Signal Processing Cup. The team’s four members are: Aleksander Strzeboński and Piotr Radecki – students of Electronics and Telecommunications at the Faculty of Computer Science, Electronics and Telecommunications, Michał Antos who studies Automation and Robotics at the Faculty of Electrical Engineering, Automatics, Computer Science and Biomedical Engineering and Mateusz Wojtulewicz – a computer science student from the same faculty. UST AGH Professor Konrad Kowalczyk, is the team’s research supervisor.

The Competition

The IEEE Signal Processing Cup is held annually for teams of students, who are given the challenge of resolving real-life problems using signal processing techniques. The Competition is organised by the IEEE Signal Processing Society. Each year, the three student teams who have won the best scores in the competition that lasts for a few months present their solutions to the panel of experts at the Grand Finale held during the most important international conference on signal processing – IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). This year’s finals took place on 6th June during the virtual conference IEEE ICASSP 2021 held in Toronto, Canada.

The 2021 edition of the competition focused on wireless transmission in 6G networks or – to be more precise – on automatic configuration of smart surfaces reflecting electromagnetic waves for increased capacity of a wireless link. The smart reflection surface is a two-dimensional matrix consisting of elements, whose reflecting properties for electromagnetic waves can be controlled by changing impedance on its surface. In the future, such intelligent surfaces will be used in 6G networks for extra concentration of signals propagating in the environment between the transmitter and the receiver. The aim of the competition was to design a method of estimating the transmittance of a transmission channel between the transmitter, the smart reflective surface and the receiver, based on transmitted and received signals. This was followed by the development of an algorithm that would allow automated configuration of the two-dimensional matrix for the purpose of obtaining the highest data transmission rate in the OFDM channel.  

Illustration of the problem: IRS –Intelligent Reflecting Surface

The solution developed by the AGH UST students, based on non-linear channel estimation, numerical optimisation and evolutionary algorithms, won the top spot for its transmission channel capacity among the 37 solutions entered for the competition.

The solution developed by the AGH UST students, based on non-linear channel estimation, numerical optimisation and evolutionary algorithms, won the top spot for its transmission channel capacity among the 37 solutions entered for the competition.

Presentation delivered at the Competition by the AGH UST Team


The finals saw three highest-scoring teams present their solutions. Ultimately, the AGH UST team won second place.

IEE Signal Processing Cup 2021: Final results