PRORL: Proactive Resource Orchestrator for Open RANs using Deep Reinforcement Learning
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Updated
Feb 1, 2025 - Python
PRORL: Proactive Resource Orchestrator for Open RANs using Deep Reinforcement Learning
A comprehensive O-RAN research library enabling AI-driven RAN intelligence with DRL-based xApps, closed-loop control, and multi-slice resource optimization.
A1gent on NIST ns-3 O-RAN for deterministic and auditable intent-driven radio control.
Top Radio Network Optimization 🌟 Star if you like it! 🌟
Quantum-Assisted Digital Twin for Closed-Loop Secure and Adaptive ISAC in 6G Open RAN
Source code for Oranits: mission assignment and task offloading in Open RAN-based intelligent transportation systems using metaheuristic optimization and deep reinforcement learning.
Provably sound agentic control for self-healing Open RAN: action repair and predicate-coverage analysis. Manuscript, simulator, and aggregated results.
C++ wireless edge lab for LTE, 5G NR, Wi-Fi, and 6G research observability across RAN scheduling, bare-metal ops, and platform telemetry
Real-time AI based anomaly detection & L2 MACsec control loop on legacy infra without GPUs. Powered by CXL 3.1, DPDK SmartNICs, and Ultra Ethernet.
5G Open_RAN, O-RAN
Reference simulator and stored results for Lyapunov-guided safe RL with risk-budget feasibility in energy-aware O-RAN scheduling: CVaR tail constraint, LCB safety filter, PID dual, and a swept classical drift-plus-penalty frontier.
The objective of this Master's Thesis is to analytically and experimentally compare different open-source NG-RAN implementations and develop a tool to automatically generate gNB configuration files from a unified input, simplifying 5G deployments
Reproducible uncertainty-aware KPM semantic alignment and selective certification for portable AI xApps in Open 6G RAN.
A concept for turning carrier networks into distributed edge intelligence infrastructure. White paper on AI-RAN, cooperative perception, and network-native AI services, covering architecture, data rights, and governance. CC BY 4.0.
The O-RAN Security Test Case Generator is a cutting-edge AI-powered platform designed to revolutionize security testing and threat analysis for Open Radio Access Networks (O-RAN). This comprehensive tool combines advanced machine learning, deep learning, and artificial intelligence techniques to provide automated security analysis and comprehensive
Official St-INTEL implementation: intent-aware resource allocation with MILP, shadow pricing, Double DQN, and federated learning for 5G Open RAN.
Reproducibility artifact for Q-ROC: certificate-bound coherent-order auditing for policy-gated multi-xApp control in Open 6G RAN.
TelecomAudit (CIKM 2026): origin-aware benchmark auditing & calibration for 5G/Open RAN anomaly detection — exposes the synthetic→controlled-real transfer gap and repairs it with a small calibration budget.
KPI-Aware Multimodal Anomaly Detection for 5G and Open RAN Telemetry
EdgeQ — independent third-party profile of a public API surface, by API Evangelist. EdgeQ is a fabless semiconductor company headquartered in Santa Clara, California, building a converged "Base Station-on-a-Chip" that integrates 5G, 6G, non-terrestrial network (NTN), custom waveform, CPU, and antenna-controller functions into a single software-defi
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