Open Radio Access Network

Open Radio Access Network (O-RAN) is a revolutionary architecture for mobile networks aiming to improve efficiency, flexibility, and vendor diversity through open interfaces and AI-driven control. Current research heavily focuses on applying machine learning, particularly reinforcement learning and deep learning (including variations like federated and evolutionary RL, and models such as LSTM and transformers), to optimize resource allocation, predict network behavior (like handovers and traffic), and mitigate conflicts between different network applications (xApps). This work holds significant importance for both the scientific community, advancing AI techniques in dynamic network environments, and for practical applications, promising substantial cost savings and improved network performance in 5G and beyond.

Papers

November 13, 2024

Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs
Mojdeh Karbalaee Motalleb, Chafika Benzaid, Tarik Taleb, Marcos Katz, Vahid Shah-Mansouri, JaeSeung Song
Medical LLM Security Vulnerability Mobile Network Threat Word Open Radio Access Network New Solution RAN Architecture Real O RAN

September 30, 2024

August 29, 2024

AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN
Sneihil Gopal, David Griffith, Richard A. Rouil, Chunmei Liu
Information Access Radio Access Network Open Radio Access Network Spectrum Sharing Spectrum Management Real O RAN

July 8, 2024

ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks
Pranshav Gajjar, Vijay K. Shah
Large Language Model Retrieval Augmented Generation Open Source Open Radio Access Network Real O RAN

July 3, 2024

xApp Distillation: AI-based Conflict Mitigation in B5G O-RAN
Hakan Erdol, Xiaoyang Wang, Robert Piechocki, George Oikonomou, Arjun Parekh
Open Radio Access Network xApp Distillation Network Management Conflict Mitigation

May 6, 2024

Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management
Ravikumar Balakrishnan, Marius Arvinte, Nageen Himayat, Hosein Nikopour, Hassnaa Moustafa
Adversarial Attack Adversarial Learning Robust Defense Evasion Attack Open Radio Access Network RAN Architecture Jamming Attack

April 14, 2024

ML-based handover prediction over a real O-RAN deployment using RAN Intelligent controller
Merim Dzaferagic, Bruno Missi Xavier, Diarmuid Collins, Vince D'Onofrio, Magnos Martinello, Marco Ruffini
Long Short Term Memory Robot Handover Open Radio Access Network Training Run Network Control Intelligent Controller Real O RAN

February 15, 2024

Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks
Pranshav Gajjar, Azuka Chiejina, Vijay K. Shah
Deep Learning Data Privacy Privacy Sensitive Open Radio Access Network Spectrum Sharing Spectrum Access Learnable Image Encryption

January 16, 2024

Semi-Supervised Learning Approach for Efficient Resource Allocation with Network Slicing in O-RAN
Salar Nouri, Mojdeh Karbalaee Motalleb, Vahid Shah-Mansouri, Seyed Pooya Shariatpanahi
Semi Supervised Learning Resource Allocation Worst Case User Throughput Network Slicing Open Radio Access Network Network Optimization

January 12, 2024

Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning
Fatemeh Lotfi, Fatemeh Afghah
Deep Reinforcement Learning Traffic Prediction Semantic Network Network Slicing Open Radio Access Network

December 26, 2023

A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration
Fahri Wisnu Murti, Samad Ali, Matti Latva-aho
Deep Reinforcement Learning Open Radio Access Network Exploration Exploitation RAN Architecture Multi Access Edge Computing

October 17, 2023

FROST: Towards Energy-efficient AI-on-5G Platforms -- A GPU Power Capping Evaluation
Ioannis Mavromatis, Stefano De Feo, Pietro Carnelli, Robert J. Piechocki, Aftab Khan
Machine Learning Optimization Process Open Radio Access Network GPU Energy Frost Prediction

September 4, 2023

Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning
Michail Kalntis, George Iosifidis, Fernando A. Kuipers
Online Learning Resource Allocation Online Learning Algorithm Worst Case User Throughput Open Radio Access Network Base Station Optimality Gap Adversarial Traffic

June 15, 2023

Attention-based Open RAN Slice Management using Deep Reinforcement Learning
Fatemeh Lotfi, Fatemeh Afghah, Jonathan Ashdown
Deep Reinforcement Learning Dynamic Network Quality of Service Network Slicing Open Radio Access Network Network Slice

May 22, 2023

Detection and mitigation of indirect conflicts between xApps in Open Radio Access Networks
Cezary Adamczyk, Adrian Kliks
Data Detection Faulty Negative Mitigation Conflict Classification Open Radio Access Network Conflict Mitigation

March 25, 2023

Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach
Chia-Hsiang Lai, Li-Hsiang Shen, Kai-Ten Feng
Resource Allocation Open Radio Access Network Network Optimization Load Balancing Efficient Network RAN Architecture Multi Agent Multi

March 21, 2023

Beam Management Driven by Radio Environment Maps in O-RAN Architecture
Marcin Hoffmann, Pawel Kryszkiewicz
Multiple Input Multiple Output Open Radio Access Network Radio Map RAN Architecture Beam Management

January 13, 2023

ML Approach for Power Consumption Prediction in Virtualized Base Stations
Merim Dzaferagic, Jose A. Ayala-Romero, Marco Ruffini
Neural Network Machine Learning Approach Power Consumption Open Radio Access Network Base Station

January 2, 2023

Fairness Guaranteed and Auction-based x-haul and Cloud Resource Allocation in Multi-tenant O-RANs
Sourav Mondal, Marco Ruffini
Procedural Fairness Resource Allocation Open Radio Access Network Auction Based RAN Architecture Passive Optical Network Network Function

Open Radio Access Network

Papers

Towards Secure Intelligent O-RAN Architecture: Vulnerabilities, Threats and Promising Technical Solutions using LLMs

Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN

What If We Had Used a Different App? Reliable Counterfactual KPI Analysis in Wireless Systems

AdapShare: An RL-Based Dynamic Spectrum Sharing Solution for O-RAN

ORAN-Bench-13K: An Open Source Benchmark for Assessing LLMs in Open Radio Access Networks

xApp Distillation: AI-based Conflict Mitigation in B5G O-RAN

Enhancing O-RAN Security: Evasion Attacks and Robust Defenses for Graph Reinforcement Learning-based Connection Management

ML-based handover prediction over a real O-RAN deployment using RAN Intelligent controller

Preserving Data Privacy for ML-driven Applications in Open Radio Access Networks

Semi-Supervised Learning Approach for Efficient Resource Allocation with Network Slicing in O-RAN

Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning

A Bayesian Framework of Deep Reinforcement Learning for Joint O-RAN/MEC Orchestration

FROST: Towards Energy-efficient AI-on-5G Platforms -- A GPU Power Capping Evaluation

Adaptive Resource Allocation for Virtualized Base Stations in O-RAN with Online Learning

Attention-based Open RAN Slice Management using Deep Reinforcement Learning

Detection and mitigation of indirect conflicts between xApps in Open Radio Access Networks

Intelligent Load Balancing and Resource Allocation in O-RAN: A Multi-Agent Multi-Armed Bandit Approach

Beam Management Driven by Radio Environment Maps in O-RAN Architecture

ML Approach for Power Consumption Prediction in Virtualized Base Stations

Fairness Guaranteed and Auction-based x-haul and Cloud Resource Allocation in Multi-tenant O-RANs