Gym is a toolkit for developing and comparing reinforcement learning algorithms.
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Updated
Dec 27, 2021 - Python
Gym is a toolkit for developing and comparing reinforcement learning algorithms.
This repository serves as a complimentary guide to the paper entitled Evaluating 5G SA Testbeds: Unveiling Performance Disparities in RAN Scenarios submitted to NOMS 2024, containing our experience installing, configuring, and debugging a 5G standalone lab testbed.
Configurations, tutorials, scripts, logs and other stuff related to the interoperability paper.
Control User Plane Separation of SPGW-C and SPGW-U
This repository is inspired by OPENAIRINTERFACE/openair-k8s. Please check it out if you use original version.
Repository for my master in computer engineering at University of Campinas (UNICAMP).
To reproduce the results of the paper: Data-Driven Latency Probability Prediction for Wireless Networks: Focusing on Tail Probabilities
Capstone TIP Team - VNF Repository
Control User Plane Separation of SPGW-C and SPGW-U
A Docker recipe of OpenAirInterface eNB
OpenAirInterface (4G LTE) UML project using BOUML tool
Open5GS EPC & OpenAirInterface UE / RAN Sample Configuration
A cloud-native 5G Network based on OAI platform, fully deployed on Kubernetes, enhanced with AI Unit to forecast the interactions between end-users and applications, and to improve the Quality of Experience of the users in real-time by utilizing the FlexRAN Controller.
A 5G network with a Base Station, using an SDR and OpenAirInterface (Open Source). The software will be validated using COTS (commercial) mobile and programable SIM.
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