LASSE - Telecommunications, Automation and Electronics Research and Development Center

5gm-data

Datasets and code for machine learning in 5G mmWave MIMO systems involving mobility (5GMdata)

ITU-Challenge-ML5G-PHY-RL

Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"

rrm-slice-rl

Code containing RRM simulation using RL in a scenario with RAN slicing.

5gm-rwi-simulation

5GMdata project: Scripts to repeatedly invoke Remcom Wireless Insite and SUMO

connected-ai-testbed

connected-ai-testbed

ml4comm

Machine Learning for MIMO Systems with Large Arrays

ml4comm-icc21

Code for IEEE ICC'2021 Tutorial 14: Machine Learning for MIMO Systems with Large Arrays

emulation-setup-networking

Emulation setup for networking experiments.

5gm-rwi-3d-modeling

5GMdata project: 3D modeling input for Remcom Wireless Insite

flexric_oai

This repository stores the files for installing Flexric and OAI, using dockers containers.

MIMO-V2V-latincom22

e2e-slicing-in-a-box

C_MIMO

Implementation of MIMO Digital Communication System

caviar

ml4mimo

Machine learning for communications with focus on MIMO systems with large arrays

python_template

Python template containing formatter, linter and other automatic verifications.

DSP-Python-Matlab-Octave-Book

dsp-telecom-book-code

Source code for Aldebaro's book on DSP and digital communications

Equipe-UFPA

Codes of LASSE team for "Petrobras Challenge of Robotics", which is part of the “CBR".

feature_selection_jit

Scripts do "Métodos de Seleção de Características para Aprendizado de Máquina Baseado em Just-in-Time Software Defect Prediction"

free5gc-slicing

lasse-py

Python code used in LASSE projects concerning signal processing, machine learning, digital communications, etc.

logosforweb

RANGEN

rrs_industrial_scenario

Radio resource scheduling for an industrial scenario.

rrs_rl_industrial

Exploring RL for RRS in industrial scenarios.

sixg_radio_mgmt

Project containing basis classes for RRM operations.

sixg_scheduling_example

Example of implementation of radio resource scheduling (RRS) agents using the sixg_radio_mgmt basis.

tabular_rl

Code for finite Markov decision processes (FMDP) or tabular reinforcement learning with known dynamics

yolo-data-generation-SBRT23

This paper uses this approach to generate realistic datasets for training ML models to be used in computer vision.