UavNetSim: A Python-based simulation platform for designing and testing communication protocols and control algorithms in UAV swarm.

A Python package for software-defined radio

A PyTorch-based toolkit for simulating communication systems

Allows to reproduce all figures from "Pruned DFT Spread FBMC: Low PAPR, Low Latency, High Spectral Efficiency", IEEE Transactions on Communications, 2018

A comparative study of deep learning models for predicting Channel State Information (CSI) in massive MIMO systems. Integrates COST2100 dataset with STNet compression and evaluates models based on NMSE, RMSE, and spectral efficiency.

Implementation of "Distributed Deep Joint Source-Channel Coding over a Multiple Access Channel" paper (ICC 2023)

Implementation of "Distributed Deep Joint Source-Channel Coding with Decoder-Only Side Information" paper (ICMLCN 2024)

This is the Matlab code for the paper "Denoising Higher-Order Moments for Blind Digital Modulation Identification in Multiple-Antenna Systems" published in the IEEE Wireless Communications Letters.

This repository contains code and resources for the simulation, algorithm development, and research of Distributed Cell-Free Integrated Sensing and Communication (ISAC) systems in wireless networks.

Simulator for use in sharing and compatibility studies of wireless communication systems

This repository is accompanying the papers "Artificial Fast Fading from Reconfigurable Surfaces Enables Ultra-Reliable Communications" (SPAWC 2021), "RIS-Assisted Statistical Channel Shaping for Ultra-High Reliability" (WSA 2021), and "Reconfigurable Intelligent Surface Phase Hopping for Ultra-Reliable Communications" (TWC, DOI:10.1109/TWC.2022.…

Python code for the book 'Wireless Communications and Machine Learning' by Cambridge University Press 2025.

Open-source code for book "MIMO-OFDM Wireless Communications with MATLAB"

A protocol-level abstraction and unified benchmark for scalable wireless sensing. SDP enforces deterministic physical-layer sanitization, canonical tensor construction, and standardized training and evaluation procedures, decoupling learning performance from hardware-specific artifac

Official repository for ASSENT: Learning-Based Association Optimization for Distributed Cell-Free ISAC — MILP formulation, GNN framework, and dataset.

MATLAB implementation of multi-domain optimization framework for ISAC.

This is the code implementation for the Matrix-Inverse-Free MU-MIMO WMMSE Beamforming Algorithm.

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

Collection of resources on Wireless Systems for researchers, educators, and students using MATLAB and Simulink.

Source code of the paper "Private Collaborative Edge Inference via Over-the-Air Computation".