RAN Architecture

Open Radio Access Network (O-RAN) architecture aims to create more flexible, interoperable, and intelligent mobile networks by disaggregating traditional radio access network functions. Current research heavily focuses on optimizing resource allocation and management within O-RAN, particularly using probabilistic forecasting techniques like DeepAR and reinforcement learning algorithms to improve efficiency and predict resource demands (e.g., Physical Resource Block utilization). This work is significant because it addresses key challenges in deploying and managing the increasingly complex and data-intensive nature of modern mobile networks, leading to improved energy efficiency, network performance, and potentially lower operational costs.

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 RAN Architecture New Solution Real O RAN

July 19, 2024

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

February 17, 2024

Fair Resource Allocation in Virtualized O-RAN Platforms
Fatih Aslan, George Iosifidis, Jose A. Ayala-Romero, Andres Garcia-Saavedra, Xavier Costa-Perez
RAN Architecture Fair Resource Allocation

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

September 1, 2023

How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?
Ahmad M. Nagib, Hatem Abou-Zeid, Hossam S. Hassanein
Deep Reinforcement Learning Early Stage Convergence State of the Art Forecasting Virtual Reality Deep Learning Based Slice by Slice RAN Architecture Radio Access Network Slicing

May 11, 2023

Conflict Mitigation Framework and Conflict Detection in O-RAN Near-RT RIC
Cezary Adamczyk, Adrian Kliks
Conflict Detection RAN Architecture 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 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

November 14, 2022

Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul
Nien Fang Cheng, Turgay Pamuklu, Melike Erol-Kantarci
Resource Allocation Network Slicing Network Simulation Network Slice RAN Architecture Learning Based Resource Allocation

September 26, 2022

Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysis
Mohammadreza Kouchaki, Vuk Marojevic
General Analysis Actor Critic Software Deployment Radio Access Network Open Radio Access Network RAN Architecture Real O RAN

January 14, 2022

OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN
Salvatore D'Oro, Leonardo Bonati, Michele Polese, Tommaso Melodia
Cellular Network Radio Access Network Convergence Orchestration RAN Architecture Intelligent Behaviour Network Intelligence Network Automation

RAN Architecture

Papers

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

On the Impact of PRB Load Uncertainty Forecasting for Sustainable Open RAN

Enhancing Cloud-Native Resource Allocation with Probabilistic Forecasting Techniques in O-RAN

On the use of Probabilistic Forecasting for Network Analysis in Open RAN

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

Fair Resource Allocation in Virtualized O-RAN Platforms

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

How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?

Conflict Mitigation Framework and Conflict Detection in O-RAN Near-RT RIC

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

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

Reinforcement Learning Based Resource Allocation for Network Slices in O-RAN Midhaul

Actor-Critic Network for O-RAN Resource Allocation: xApp Design, Deployment, and Analysis

OrchestRAN: Network Automation through Orchestrated Intelligence in the Open RAN