Comparing GCCGO 1.8.1 (GCC 7.2) vs GC 1.8.1 (and GC 1.10) on x86 (AMD64).

AIVideo is 5G + 6G AVR AIVideo + AR + VR .

Vision-Aided Beam Tracking

Learning Environment-aware and hardware-compatible beam-forming codebooks

DL tackling Massive-MIMO problems

Code for M. Polese, J. Jornet, T. Melodia, M. Zorzi, “Toward End-to-End, Full-Stack 6G Terahertz Networks”, https://arxiv.org/abs/2005.07989, 2020.

AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach

6G and Security repository for telecommunications and AI research. We will share our implementations and publications in 5G and beyond technology, 6G, Security, Machine learning on 6G, Massive MIMO, THz communication and communication networks.

A set of mixed-integer linear programs designed to reduce the CO2 emissions of a simulated 6G cloud-fog network architecture. Designed in AMPL.

In this repository, you will find the source code for analyzing tracks during data transmission using Software Defined Radios. Metrics about error positioning and error syndrome are attached.

Camera based beam prediction

Simulation code for EdgeGO -- A resource sharing framework for 6G edge computing in massive IoT systems, https://ieeexplore.ieee.org/document/9375469/

6G Wireless Communication Security - Deep Learning Based Channel Estimation Dataset

Long term study on cell-free massive MIMO for 6G communication.

This repository presents the implementation of communication kernels for 5G New Radio and its build and test automation, using CICD

This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.

M. Polese, F. Restuccia, and T. Melodia, "DeepBeam: Deep Waveform Learning for Coordination-Free Beam Management in mmWave Networks", Proc. of ACM Intl. Symp. on Theory, Algorithmic Foundations, and Protocol Design for Mobile Networks and Mobile Computing (ACM MobiHoc), July 2021.

BRAVE is a collaborative research project started in January 2018, that aims at creating new physical-layer (PHY) techniques devoted to beyond-5G wireless communications. The partners (Siradel, Central-Supélec, CEA-Leti and ANFR) are designing new high-data-rate and energy-efficient waveforms that operate in frequencies above 90 GHz. Application…

LDPC & comparison are placed here for next-gen FEC (ECC). Ultra optimal design for performance, power, area, reliability,and flexibility.

This repository contains code to reproduce some of the results from the paper Sionna RT: Differentiable Ray Tracing for Radio Propagation Modeling using the Sionna™ link-level simulator.