An indoor localization digital twin framework for evaluating positioning algorithms via simulation, visualization, and replay - no physical hardware required.
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Updated
Jul 27, 2026 - Python
An indoor localization digital twin framework for evaluating positioning algorithms via simulation, visualization, and replay - no physical hardware required.
This is an open source package for CUDA accelerated implementation of 3GPP Spatial Channel Model defined in TR 38.901
A Reproducible and Reconfigurable Dataset Generation Framework for Deep Learning–Based 6G Channel Estimation
Multi-Agent Reinforcement Learning based Edge-Cloud Computing Offloading Framework using MAPPO and PureEdgeSim for 6G Networks.
A project dedicated to a predictive programming simulation of the world's next upcoming generation of wireless connections—6G Internet—expected to officially arrive around the year 2030.
Track whats flying above you, it can be malicious for you -- AeroScope is Next-Gen Aerial Surveillance Platform
A computational simulation engine predicting call blocking probabilities in 6G telecommunication networks using Roberts-Kaufman and RLA algorithms.
Structural white papers defining the architectural foundations of Velsanet. This repository contains no executable code.
Evaluation of Time-Series imputation architectures, in the context of 6G networks
Le temps n'est plus une donnée reçue, c'est une phase de la matière. Implémentation théorique d'une horloge réseau décentralisée via la Brisure de Symétrie Temporelle (DTC) pour les infrastructures 6G et l'Internet Quantique
An end-to-end software/hardware co-design framework for Power Amplifier (PA) modeling and Digital Predistortion (DPD), bridging deep learning, DSP, web/desktop APIs, and FPGA/MCU acceleration.
Runnable reference implementation of execution finality for AI-native 5G/6G, IMT-2030, AI-RAN and O-RAN. Covers Candidate Acts, PED validation, evidence-before-authority, scoped non-bearer capabilities, Finality Sink verification, replay/epoch controls, RIC/UPF variations, tests and benchmarks. Keywords: 3GPP, RAN, telecom security.
Runnable reference implementation for spam-resistant map-based business discovery using query-scoped non-bearer CVIDs, Preview-to-Unlock, separate future-contact authority, atomic quota enforcement, and communication finality. Includes 125 tests, benchmarks, deployment variations, and security documentation / Telecom Fraud Prevention
The stop6G.eu Threat Awards recognize outstanding contributions to the construction of a planetary-scale sensing, identification, prediction, and control infrastructure — an infrastructure that its architects call 6G, and that we call something else.
CATO: Classification of Application Traffic Online – An AI-powered, privacy-preserving network traffic classifier for multi-UE 5G/6G networks. Built with FastAPI, React, and scikit-learn.
Official implementation of "Edge-Driven Multi-Agent Systems for Decentralized Stability in Autonomous Smart Grids." Featuring MATD3 reinforcement learning, 6G-enabled URLLC latency benchmarks, and OpenDSS-G power flow simulations for 35% grid resilience.
Hierarchical AI-Native Transformer–GNN Framework for Autonomous 6G Network Management using the GÉANT Dataset
Runnable Python reference implementation of CVID (Capability-Validated Inbound Descriptor) Authorization-to-Reach for spam-resistant communications, with potential relevance to 3GPP and IMT-2030 future-network environments. Includes signed grants, replay protection, atomic quotas, finality enforcement, 108 tests and ten deployment variations.
6G-SCOUT is an open-source data visualization repository dedicated to mapping the rapid investment in / development of 6G technology across Europe. We try to provide transparency into the "black box" of the 6G mayhem. WIP
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