fwilhelmi/Multi-Agent-Reinforcement-Learning-Methods-to-Minimize-OBSS-Interferences

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fwilhelmi/Multi-Agent-Reinforcement-Learning-Methods-to-Minimize-OBSS-Interferences

fwilhelmi

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Code used for the master thesis at MIIS (UPF)

blockchain_enabled_federated_learning

Simulation-based performance analysis of server-less Blockchain-enabled Federated Learning

blockchain_enabled_ran_architecture

Code and results of the academic publication "Blockchain-enabled Network Sharing for O-RAN"

machine_learning_aware_architecture_wlans

A Flexible Machine Learning-Aware Architecture for Future WLANs

potential_pitfalls_mabs_spatial_reuse

This repository contains the Code and the LaTeX files used for the journal article "Potential and Pitfalls of Multi-Armed Bandits for Decentralized Spatial Reuse in WLANs", which has been sent to "Journal of Network and Computer Applications".

tutorial_11ax_spatial_reuse

interference_based_throughput_calculation_framework

Framework to compute the throughput in Wireless Networks based on the generated interference

implications_of_decentralized_learning_in_dense_wlans

collaborative_sr_in_wns_via_selfish_mabs

blockchain_block_size_optimization

ITU_AI_Challenge_2021

IEEE 802.11ax Spatial Reuse through Federated Learning - ITU AI Challenge 2021

usage_of_simulators_in_future_networks

[Mag. paper] Usage of simulators in future 5G/6G networks

UPF-AI-for-Communications-Challenge

This repository contains instructions and complementary material of the UPF "AI for communications" Challenge

batch_service_queue_simulator

This repository contains the code of a blockchain-oriented batch service queue simulator. The implementation is provided in C/C++.

itu_journal_2022

Includes the resources used for the article entitled "FEDERATED SPATIAL REUSE OPTIMIZATION IN NEXT-GENERATION DECENTRALIZED IEEE 802.11 WLANS"