N00Bception / AI-Powered-5G-OpenRAN-OptimizerLinks
This advanced and complex project implements an AI-powered optimization system for 5G Open RAN networks. Using machine learning and deep learning, the system optimizes network performance by detecting anomalies, predicting network traffic, and dynamically allocating resources.
☆63Updated 2 years ago
Alternatives and similar repositories for AI-Powered-5G-OpenRAN-Optimizer
Users that are interested in AI-Powered-5G-OpenRAN-Optimizer are comparing it to the libraries listed below
Sorting:
- Code containing RRM simulation using RL in a scenario with RAN slicing.☆22Updated 2 years ago
- DeepSlice: A Deep Learning Approach towards an Efficient and Reliable Network Slicing in 5G Networks☆84Updated 4 years ago
- Sama* is a open-source, Python based simulator for 5G Radio Access Networks (RANs) that supports both downlink and uplink communications …☆18Updated 3 months ago
- Network slicing gym environment and a model-based RL agent with kernels☆63Updated last year
- Simulation code for "Non-Orthogonal Multiple Access and Network Slicing: Scalable Coexistence of eMBB and URLLC". Paper presented in the …☆15Updated 3 years ago
- A Framework for Safe and Accelerated Reinforcement Learning-based Radio Resource Management☆19Updated 3 years ago
- Optimised the number of handovers using the Q-Learning algorithm of Reinforcement Learning☆19Updated 3 years ago
- Code implementing the algorithm and the benchmark of the paper "Power Minimization of Downlink Spectrum Slicing for eMBB and URLLC Users"☆13Updated 3 years ago
- 5G Network Slicing for Wi-Fi Networks☆55Updated last year
- Master Thesis☆10Updated 3 years ago
- This is the repository for the collection of software-defined satellite networks.☆43Updated 11 months ago
- This repository contain the code of PHY abstraction for current V2X technologies☆15Updated 5 years ago
- According to considering the delay or not for two scenarios, eMBB and URLLC service, observe the wireless resource allocation distributio…☆22Updated 4 years ago
- An Algorithm for making handoff decisions in a sliced 5G network☆44Updated 4 years ago
- Scripts for the "ITU-ML5G-PS-006: ML5G-PHY-Reinforcement learning: scheduling and resource allocation"☆31Updated 4 years ago
- Codes for paper "Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation"☆40Updated 10 months ago
- Robustness Evaluation of RL-based Algorithms for Resource Allocation in 5G Network Slicing☆14Updated last year
- ☆12Updated 4 years ago
- GitHub for the article Deep Reinforcement Learning for URLLC data management on top of scheduled eMBB traffic (Fabio Saggese, Luca Pasqua…☆18Updated 4 years ago
- AI-based Resource Provisioning of IoE Services in 6G: A Deep Reinforcement Learning Approach☆12Updated 4 years ago
- This is code of paper entitled "AI-based Radio Resource and Transmission Opportunity Allocation for 5G-V2X HetNets: NR and NR-U networks…☆15Updated 2 years ago
- The folder contains NS-3 simulations for Mobility Robustness Optimization in Small Cell Networks☆10Updated 5 years ago
- A module that can be used to model and simulate O-RAN-like behavior in ns-3.☆51Updated 2 months ago
- diegotuzi / Distributed-Approach-to-Satellite-Direct-to-Cell-Connectivity-in-6G-Non-Terrestrial-Networks☆15Updated 2 years ago
- Admission Control and Resource Allocation mechanism for 5G Core Network Slicing based on Reinforcement Learning and Deep Learning☆45Updated 3 years ago
- A cloud-native 5G Network based on OAI platform, fully deployed on Kubernetes, enhanced with AI Unit to forecast the interactions between…☆26Updated last year
- End-2-end V2X latency models in 5G networks☆11Updated 3 years ago
- 5G Network Slicing Simulation project designed to explore dynamic resource allocation and performance optimization across network slices,…☆40Updated 8 months ago
- ☆13Updated 4 years ago
- Source code for "A Globally Optimal Energy-Efficient Power Control Framework and its Efficient Implementation in Wireless Interference Ne…☆48Updated last year