Results 31 to 40 of about 147 (133)

Energy‐Aware Optimisation for Off‐Grid ORAN With RIS and Edge Computing

IET Networks, Volume 14, Issue 1, January/December 2025.
Energy‐conscious off‐grid ORAN builds on solar‐powered remote units, separate DU/CU functionality, RIS components and a means for core network connection. ABSTRACT This paper proposes a strategy for designing Open Radio Access Networks (ORAN) to maximise their energy efficiency using solar power, supplemented by Reconfigurable Intelligent Surfaces (RIS)
Yassir AL‐Karawi, Raad S. Alhumaima, Hamed Al‐Raweshidy   +2 more
wiley   +1 more source

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

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

IEEE Wireless Communications
Accepted in IEEE Wireless Communications, Copyright ...
Sefa Kayraklik, Ali Fuat Sahin, Onur Salan, Recep A. Tasci, Recep Vural, Yusuf Islam Tek, Ertugrul Basar, Ibrahim Hokelek, Ali Gorcin, Karim Boutiba, Adlen Ksentini   +10 more
openaire   +2 more sources

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

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

CONVERGE: A Multi-Agent Vision-Radio Architecture for xApps

2024 IEEE Globecom Workshops (GC Wkshps)
Telecommunications and computer vision have evolved independently. With the emergence of high-frequency wireless links operating mostly in line-of-sight, visual data can help predict the channel dynamics by detecting obstacles and help overcoming them through beamforming or handover techniques.
Filipe B. Teixeira, Carolina Simões, Paulo Fidalgo, Wagner Pedrosa, André Coelho, Manuel Ricardo 0001, Luís M. Pessoa   +6 more
openaire   +2 more sources

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

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

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

CoRR
14 pages, 16 figures, 4 ...
Antonio Calagna, Stefano Maxenti, Leonardo Bonati, Salvatore D'Oro, Tommaso Melodia, Carla-Fabiana Chiasserini   +5 more
openaire   +2 more sources

User Classification and Traffic Steering in O-RAN

IEEE Open Journal of the Communications Society
The O-RAN architectural framework enables the application of AI/ML techniques for traffic steering and load balancing. Indeed, an effective steering technique is crucial to avoiding ping-pong and radio link failure.
Rawlings Ntassah, Gian Michele Dell'Area, Fabrizio Granelli   +2 more
doaj   +1 more source