[HTML][HTML] Misconfiguration in O-RAN: Analysis of the impact of AI/ML
User demand on network communication infrastructure has never been greater with
applications such as extended reality, holographic telepresence, and wireless brain …
applications such as extended reality, holographic telepresence, and wireless brain …
Explainable AI approaches in deep learning: Advancements, applications and challenges
Abstract Explainable Artificial Intelligence refers to developing artificial intelligence models
and systems that can provide clear, understandable, and transparent explanations for their …
and systems that can provide clear, understandable, and transparent explanations for their …
Security in Intent-Based Networking: Challenges and Solutions
I Ahmad, J Malinen, F Christou, P Porambage… - Authorea …, 2023 - techrxiv.org
This article studies the security gains and challenges in IBN from the aspect of enabling
concepts and technologies. Furthermore, the article highlights potential solutions to existing …
concepts and technologies. Furthermore, the article highlights potential solutions to existing …
Exploiting Cell Similarities in a Radio Access Network to Enhance Explainability for Autonomic Network Management Systems
J Armstrong, S Fallon, E Fallon - 2023 12th International …, 2023 - ieeexplore.ieee.org
Modern telecommunications networks are highly complex and require constant real-time
autonomic configuration to maintain optimum efficiency. A key technique used in autonomic …
autonomic configuration to maintain optimum efficiency. A key technique used in autonomic …
[PDF][PDF] Security Framework in Digital Twin for O-RAN
With the vision of 6G networks, the Radio Access Networks (RAN) are expected to entail
increased programmability, efficiency, and flexibility. The current trends in Open RAN …
increased programmability, efficiency, and flexibility. The current trends in Open RAN …