Matlab Simulation for T. K. Vu, M. Bennis, S. Samarakoon, M. Debbah and M. Latva-aho, "Joint In-Band Backhauling and Interference Mitigation in 5G Heterogeneous Networks," European Wireless 2016; 22th European Wireless Conference, Oulu, Finland, 2016, pp. 1-6. URL: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7499273&isnumber=7499250

Implementation code for the paper "Learning Resilient Radio Resource Management Policies with Graph Neural Networks" (IEEE Transactions on Signal Processing)

Mitigation of periodic as well as narrow-band and spiky/bursty RFI from time-domain filterbank data.

A comparative study of different supervision levels (supervised/unsupervised/self-supervised) when training graph neural network models for link scheduling in wireless networks.

Self-supervised contrastive representation learning for downlink power control in wireless interference networks (IEEE ICASSP 2021)

LaTeX files to create FoReCo demo poster at SIGCOMM'22 - 🥇1st SRC award