Results 41 to 50 of about 416 (159)

An Efficient and Robust Estimation of Spatio‐Temporally Distributed Parameters in Dynamic Models by an Ensemble Kalman Filter

Journal of Advances in Modeling Earth Systems, Volume 16, Issue 2, February 2024.
Abstract The accuracy of Earth system models is compromised by unknown and/or unresolved dynamics, making the quantification of systematic model errors essential. While a model parameter estimation, which allows parameters to change spatio‐temporally, shows promise in quantifying and mitigating systematic model errors, the estimation of the spatio ...
Yohei Sawada, Le Duc
wiley   +1 more source

Anomaly Detection for Mitigating xApp and E2 Interface Threats in O-RAN Near-RT RIC

IEEE Open Journal of the Communications Society
As 5G networks advance, the Open Radio Access Network (O-RAN) is crucial in enabling openness and fostering collaboration across the telecom industry.
Cheng-Feng Hung, Chi-Heng Tseng, Shin-Ming Cheng   +2 more
doaj   +1 more source

ORIX: Orchestration of RIS With xApps for Smart Wireless Factory Environments

IEEE Wireless Communications
Accepted in IEEE Wireless Communications, Copyright ...
Kayraklik, Sefa, Sahin, Ali Fuat, Salan, Onur, Tasci, Recep, Vural, Recep, Tek, Yusuf Islam, Basar, Ertugrul, Hokelek, Ibrahim, Gorcin, Ali, Boutiba, Karim, Ksentini, Adlen   +10 more
openaire   +3 more sources

OREO: Open RAN Energy Optimization via Deep Reinforcement Learning for 6G Networks

IEEE Open Journal of the Communications Society
This paper introduces an intelligent energy optimisation framework designed to enable sustainable operation in 6G O-RAN heterogeneous networks while maintaining stringent QoS guarantees for both terrestrial and non-terrestrial users.
Mohammed M. H. Qazzaz, Abdelaziz Salama, Maryam Hafeez, Syed Ali Raza Zaidi   +3 more
doaj   +1 more source

xApp Conflict Mitigation with Scheduler

Open RAN (O-RAN) fosters multi-vendor interoperability and data-driven control but simultaneously introduces the challenge of coordinating pre-trained xApps that may produce conflicting actions. Although O-RAN specifications mandate offline training and validation to prevent the deployment of untrained or inadequately tested models, operational ...
Cinemre, Idris, Mahmoodi, Toktam, Farzaneh, Amirmohammad   +2 more
openaire   +2 more sources

CORMO-RAN: Lossless Migration of xApps in O-RAN

CoRR
A. Calagna, S. Maxenti, L. Bonati, S. D'Oro, T. Melodia and C. F. Chiasserini, "CORMO-RAN: Energy Efficiency at the Near-RT RIC via Lossless Migration of O-RAN xApps," in IEEE Transactions on Mobile ...
Antonio Calagna, Stefano Maxenti, Leonardo Bonati, Salvatore D'Oro, Tommaso Melodia, Carla-Fabiana Chiasserini   +5 more
openaire   +3 more sources

AI-Native Handover Management for 6G Networks Leveraging O-RAN Architecture

IEEE Access
The evolution of advanced wireless communication has necessitated the transition from legacy networks toward more adaptable and intelligent sixth-generation (6G) architectures.
Anirudh Warrier, Saba Al-Rubaye
doaj   +1 more source

Integrating Zero Trust Architecture in O-RAN: A Comprehensive Survey and Analysis

IEEE Open Journal of the Communications Society
Open Radio Access Network (O-RAN) is a new approach to mobile networks that disaggregates the network architecture into multi-vendor interoperable physical and software-defined network components connected through standardized open interfaces.
Ali Mehrban, Zakaria Abou El Houda, Hajar Moudoud, Long Bao Le   +3 more
doaj   +1 more source

A Practical Demonstration of DRL-Based Dynamic Resource Allocation xApp Using OpenAirInterface [PDF]

Network slicing is a key enabler for providing a differentiated service support to heterogeneous use cases and applications in 5G and beyond networks through creating multiple logical slices.
Sever, Onur, Hokelek, Ibrahim, Salan, Onur, Gorcin, Ali   +3 more
core   +4 more sources

ISAC-Assisted DRL for Dynamic MAC Scheduler Reconfiguration in O-RAN

IEEE Open Journal of the Communications Society
This paper introduces reconfiguration mechanisms for a 5th Generation (5G) Medium Access Control (MAC) scheduler, which uses Deep Reinforcement Learning (DRL) and is deployed as an xApp within the RAN Intelligent Controller (RIC) framework. The objective
Neco Villegas, Juan Luis Herrera, Luis Diez, Domenico Scotece, Luca Foschini, Ramon Aguero   +5 more
doaj   +1 more source