A supervised deep learning based resource allocation scheme for multi-cell wireless system.
MATLAB implementations of Generative Adversarial Networks -- from GAN to Pixel2Pixel
This repo contains the source code of the physical layer developed for the DARPA Spectrum Collaboration Challenge (SC2).
A deep reinforcement learning based approach is used to allocate downlink power for multi-cell wireless system.
Simulations for the paper "Deep Learning for the Gaussian Wiretap Channel" with Tensorflow 2
A framework to estimate the Channel State Information for a 5G communication
Accompanying code of paper "On Recurrent Neural Networks for Sequence-based Processing in Communications" by Daniel Tandler, Sebastian Dörner, Sebastian Cammerer, Stephan ten Brink.
PyTorch AlphaZero implementation with multiplayer support [NeurIPS 2019 Deep Reinforcement Learning Workshop]
Open source speech codec designed for communications quality speech between 450 and 3200 bit/s. The main application is low bandwidth HF/VHF digital radio.
RSMA relies on linearly precoded rate-splitting with SIC to decode part of the interference and treat the remaining part of the interference as noise.
Master Thesis compairing Communicationsystems Baised on GAN and baised on MI
