Saved in:
| Main Authors: | Barker, Ryan, Seyfi, Tolunay, Afghah, Fatemeh |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2502.02886 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
REAL: Reinforcement Learning-Enabled xApps for Experimental Closed-Loop Optimization in O-RAN with OSC RIC and srsRAN
by: Barker, Ryan, et al.
Published: (2025)
by: Barker, Ryan, et al.
Published: (2025)
MORPH: Multi-Environment Orchestrated Reinforcement Learning for PRB Handling in O-RAN
by: Dorcheh, Alireza Ebrahimi, et al.
Published: (2026)
by: Dorcheh, Alireza Ebrahimi, et al.
Published: (2026)
AtlasRAN: Timing-Aware Evaluation of Open-source 5G Platforms for Integrated Wireless Testbeds
by: Barker, Ryan, et al.
Published: (2026)
by: Barker, Ryan, et al.
Published: (2026)
DORA: Dynamic O-RAN Resource Allocation for Multi-Slice 5G Networks
by: Dorcheh, Alireza Ebrahimi, et al.
Published: (2025)
by: Dorcheh, Alireza Ebrahimi, et al.
Published: (2025)
AIIM: Adaptive Inter-cell Interference Mitigation for Heterogeneous Multi-vendor 5G O-RAN Networks
by: Reinders, Samuel, et al.
Published: (2026)
by: Reinders, Samuel, et al.
Published: (2026)
Hierarchical Cooperative MARL for Joint Downlink PRB and Power Allocation in a 5G System
by: Dorcheh, Alireza Ebrahimi, et al.
Published: (2026)
by: Dorcheh, Alireza Ebrahimi, et al.
Published: (2026)
On the Optimality of Network Topology Discovery in Single-Hop Bounded-Interference Networks
by: Seyfi, Tolunay, et al.
Published: (2026)
by: Seyfi, Tolunay, et al.
Published: (2026)
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
by: Rezakhani, Mahshid, et al.
Published: (2025)
by: Rezakhani, Mahshid, et al.
Published: (2025)
A Joint Reconstruction-Triplet Loss Autoencoder Approach Towards Unseen Attack Detection in IoV Networks
by: Boone, Julia, et al.
Published: (2025)
by: Boone, Julia, et al.
Published: (2025)
Securing Open RAN: A Survey of Cryptographic Challenges and Emerging Solutions for 5G
by: Barker, Ryan, et al.
Published: (2025)
by: Barker, Ryan, et al.
Published: (2025)
Open RAN LSTM Traffic Prediction and Slice Management using Deep Reinforcement Learning
by: Lotfi, Fatemeh, et al.
Published: (2024)
by: Lotfi, Fatemeh, et al.
Published: (2024)
From DeepSense to Open RAN: AI/ML Advancements in Dynamic Spectrum Sensing and Their Applications
by: Barker, Ryan
Published: (2025)
by: Barker, Ryan
Published: (2025)
Meta Reinforcement Learning Approach for Adaptive Resource Optimization in O-RAN
by: Lotfi, Fatemeh, et al.
Published: (2024)
by: Lotfi, Fatemeh, et al.
Published: (2024)
Virtualizing RAN: Science, Strategy, and Architecture of Software-Defined Mobile Networks
by: Barker, Ryan
Published: (2025)
by: Barker, Ryan
Published: (2025)
SEM-O-RAN: Semantic and Flexible O-RAN Slicing for NextG Edge-Assisted Mobile Systems
by: Puligheddu, Corrado, et al.
Published: (2022)
by: Puligheddu, Corrado, et al.
Published: (2022)
QACM: QoS-Aware xApp Conflict Mitigation in Open RAN
by: Wadud, Abdul, et al.
Published: (2024)
by: Wadud, Abdul, et al.
Published: (2024)
AI-Powered Conflict Management in Open RAN: Detection, Classification, and Mitigation
by: Wadud, Abdul, et al.
Published: (2026)
by: Wadud, Abdul, et al.
Published: (2026)
ScalO-RAN: Energy-aware Network Intelligence Scaling in Open RAN
by: Maxenti, Stefano, et al.
Published: (2023)
by: Maxenti, Stefano, et al.
Published: (2023)
Intelligent Task Offloading: Advanced MEC Task Offloading and Resource Management in 5G Networks
by: Ebrahimi, Alireza, et al.
Published: (2025)
by: Ebrahimi, Alireza, et al.
Published: (2025)
AutoRAN: Automated and Zero-Touch Open RAN Systems
by: Maxenti, Stefano, et al.
Published: (2025)
by: Maxenti, Stefano, et al.
Published: (2025)
Fusion of Mixture of Experts and Generative Artificial Intelligence in Mobile Edge Metaverse
by: Liu, Guangyuan, et al.
Published: (2024)
by: Liu, Guangyuan, et al.
Published: (2024)
xApp-Level Conflict Mitigation in O-RAN, a Mobility Driven Energy Saving Case
by: Wadud, Abdul, et al.
Published: (2024)
by: Wadud, Abdul, et al.
Published: (2024)
Energy-Efficient Online Scheduling for Wireless Powered Mobile Edge Computing Networks
by: He, Xingqiu, et al.
Published: (2026)
by: He, Xingqiu, et al.
Published: (2026)
Play to Earn in the Metaverse with Mobile Edge Computing over Wireless Networks: A Deep Reinforcement Learning Approach
by: Chua, Terence Jie, et al.
Published: (2023)
by: Chua, Terence Jie, et al.
Published: (2023)
HexRAN: A Programmable Approach to Open RAN Base Station System Design
by: Kak, Ahan, et al.
Published: (2023)
by: Kak, Ahan, et al.
Published: (2023)
Admission Control with Reconfigurable Intelligent Surfaces for 6G Mobile Edge Computing
by: Zhang, Ye, et al.
Published: (2025)
by: Zhang, Ye, et al.
Published: (2025)
Hierarchical Multi Agent DRL for Soft Handovers Between Edge Clouds in Open RAN
by: Giarrè, F., et al.
Published: (2025)
by: Giarrè, F., et al.
Published: (2025)
Open RAN-Enabled Deep Learning-Assisted Mobility Management for Connected Vehicles
by: Barbosa, Maria, et al.
Published: (2024)
by: Barbosa, Maria, et al.
Published: (2024)
Empowering Wireless Networks with Artificial Intelligence Generated Graph
by: Wang, Jiacheng, et al.
Published: (2024)
by: Wang, Jiacheng, et al.
Published: (2024)
Energy-Latency Aware Intelligent Reflecting Surface Aided Multi-cell Mobile Edge Computing
by: Xu, Wenhan, et al.
Published: (2023)
by: Xu, Wenhan, et al.
Published: (2023)
Open RAN Slicing with Quantum Optimization
by: Keyela, Patatchona, et al.
Published: (2025)
by: Keyela, Patatchona, et al.
Published: (2025)
AI-Driven Multi-Modal Adaptive Handover Control Optimization for O-RAN
by: Wadud, Abdul, et al.
Published: (2026)
by: Wadud, Abdul, et al.
Published: (2026)
Renewable Energy Powered and Open RAN-based Architecture for 5G Fixed Wireless Access Provisioning in Rural Areas
by: Ndikumana, Anselme, et al.
Published: (2024)
by: Ndikumana, Anselme, et al.
Published: (2024)
Enabling Deep Reinforcement Learning Research for Energy Saving in Open RAN
by: Bordin, Matteo, et al.
Published: (2026)
by: Bordin, Matteo, et al.
Published: (2026)
Design and Evaluation of Deep Reinforcement Learning for Energy Saving in Open RAN
by: Bordin, Matteo, et al.
Published: (2024)
by: Bordin, Matteo, et al.
Published: (2024)
PACIFISTA: Conflict Evaluation and Management in Open RAN
by: del Prever, Pietro Brach, et al.
Published: (2024)
by: del Prever, Pietro Brach, et al.
Published: (2024)
Demonstration of Cooperative Transport Interface over Open Source 7.2 split RAN and Virtualised Open PON Network
by: Dzaferagic, Merim, et al.
Published: (2025)
by: Dzaferagic, Merim, et al.
Published: (2025)
TENORAN: Automating Fine-grained Energy Efficiency Profiling in Open RAN Systems
by: Shirkhani, Ravis, et al.
Published: (2026)
by: Shirkhani, Ravis, et al.
Published: (2026)
ML-Enabled Open RAN: A Comprehensive Survey of Architectures, Challenges, and Opportunities
by: Kirana, Mira Chandra, et al.
Published: (2026)
by: Kirana, Mira Chandra, et al.
Published: (2026)
Artificial Intelligence in Open Radio Access Network
by: Masur, Paul H., et al.
Published: (2021)
by: Masur, Paul H., et al.
Published: (2021)
Similar Items
-
REAL: Reinforcement Learning-Enabled xApps for Experimental Closed-Loop Optimization in O-RAN with OSC RIC and srsRAN
by: Barker, Ryan, et al.
Published: (2025) -
MORPH: Multi-Environment Orchestrated Reinforcement Learning for PRB Handling in O-RAN
by: Dorcheh, Alireza Ebrahimi, et al.
Published: (2026) -
AtlasRAN: Timing-Aware Evaluation of Open-source 5G Platforms for Integrated Wireless Testbeds
by: Barker, Ryan, et al.
Published: (2026) -
DORA: Dynamic O-RAN Resource Allocation for Multi-Slice 5G Networks
by: Dorcheh, Alireza Ebrahimi, et al.
Published: (2025) -
AIIM: Adaptive Inter-cell Interference Mitigation for Heterogeneous Multi-vendor 5G O-RAN Networks
by: Reinders, Samuel, et al.
Published: (2026)