A survey on explainable ai for 6g o-ran: Architecture, use cases, challenges and research directions

B Brik, H Chergui, L Zanzi, F Devoti, A Ksentini… - arXiv preprint arXiv …, 2023 - arxiv.org
The recent O-RAN specifications promote the evolution of RAN architecture by function
disaggregation, adoption of open interfaces, and instantiation of a hierarchical closed-loop …

dApps: Distributed applications for real-time inference and control in O-RAN

S D'Oro, M Polese, L Bonati, H Cheng… - IEEE …, 2022 - ieeexplore.ieee.org
The Open Radio Access Network (Open RAN)-being standardized, among others, by the O-
RAN Alliance-brings a radical transformation to the cellular ecosystem through …

[HTML][HTML] Misconfiguration in O-RAN: Analysis of the impact of AI/ML

NM Yungaicela-Naula, V Sharma, S Scott-Hayward - Computer Networks, 2024 - Elsevier
User demand on network communication infrastructure has never been greater with
applications such as extended reality, holographic telepresence, and wireless brain …

Federated deep reinforcement learning for resource allocation in O-RAN slicing

H Zhang, H Zhou… - GLOBECOM 2022-2022 …, 2022 - ieeexplore.ieee.org
Recently, open radio access network (O-RAN) has become a promising technology to
provide an open environment for network vendors and operators. Coordinating the x …

Rlops: Development life-cycle of reinforcement learning aided open ran

P Li, J Thomas, X Wang, A Khalil, A Ahmad… - IEEE …, 2022 - ieeexplore.ieee.org
Radio access network (RAN) technologies continue to evolve, with Open RAN gaining the
most recent momentum. In the O-RAN specifications, the RAN intelligent controllers (RICs) …

Conflict mitigation framework and conflict detection in O-RAN near-RT RIC

C Adamczyk, A Kliks - IEEE Communications Magazine, 2023 - ieeexplore.ieee.org
The steady evolution of the Open RAN concept sheds light on xApps and their potential use
cases in O-RAN-compliant deployments. There are several areas where xApps can be used …

Heuristic algorithms for RIS-assisted wireless networks: Exploring heuristic-aided machine learning

H Zhou, M Erol-Kantarci, Y Liu… - IEEE Wireless …, 2024 - ieeexplore.ieee.org
Reconfigurable intelligent surfaces (RISs) are a promising technology to enable smart radio
environments. However, integrating RISs into wireless networks also leads to substantial …

The evolution of mobile network operations: A comprehensive analysis of open RAN adoption

LMP Larsen, HL Christiansen, S Ruepp, MS Berger - Computer Networks, 2024 - Elsevier
Abstract As Mobile Network Operators (MNOs) seek to revolutionise their infrastructures and
meet the growing demands of a data-centric world, the adoption of open RAN (Radio Access …

Distillate a sparse-meta time series classifier for open radio access network-based cellular vehicle-to-everything

L Sun, J Liang, G Muhammad - IEEE Transactions on Vehicular …, 2023 - ieeexplore.ieee.org
Deep learning-based univariate time series classification can improve the user experience
of Open Radio Access Network (RAN)-based Cellular Vehicle-to-Everything (CV2x) …

Machine learning-based xApp for dynamic resource allocation in O-RAN networks

MMH Qazzaz, Ł Kułacz, A Kliks, SA Zaidi… - arXiv preprint arXiv …, 2024 - arxiv.org
The disaggregated, distributed and virtualised implementation of radio access networks
allows for dynamic resource allocation. These attributes can be realised by virtue of the …