We have recently been awarded a 36-month TÜBİTAK project on massive random access techniques. Our objective is to develop effective and practical solutions for massive random access both from a physical layer and a medium access protocol perspective. The project period has started on July 1, 2020.

We are looking for doctoral students to work on the project. If interested, please contact Tolga M. Duman by email.

Our paper is entitled Search-Free Precoder Selection for 5G New Radio Using Neural Networks (by our recent MS gradaute Talha Akyıldız and Tolga M. Duman) received the 2020 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom) best paper award. The paper employs deep-learning to solve a practical wireless communications problem with significantly reduced complexity. The work was supported by ASELSAN Inc. under the “5G Platform” project which is partly funded by the Scientific and Technological Research Council of Turkey (TUBITAK).