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This repository contains the implementation associated with the research paper: "Enabling Real-Time Programmability for RAN Functions: A Wasm-Based Approach for…
This work proposes a Reinforcement Learning based radio resource scheduler for Federated Learning in 5G NR that jointly performs device selection, adaptive radi…
Este trabalho propõe um algoritmo de escalonamento para tarefas de Aprendizado Federado em redes 5G considerando tráfego de fundo concorrente não prioritário e …
Extended SLArch framework for split learning in B5G/6G networks. Implements participant selection under bandwidth constraints with channel-aware (SINR) and data…
The Drift and Resource Allocation Minimization (DREAMIN) scheduler is a channel-aware inter-slice radio resource scheduler oriented to efficiently reducing SLA …
FL-E2WS is a Federated Learning algorithm designed as an optimization problem aimed at minimizing the energy consumption of devices in a wireless IoT network wh…
Este trabalho propõe um algoritmo de Aprendizado Federado para redes IoT que seleciona dispositivos com base na qualidade dos dados e da comunicação, otimizando…
Support repository for the article "Soluções baseadas em aprendizado por reforço profundo para implantar VANTs como gateways LoRaWAN com foco na Qualidade de Se…