A Survey on Explainable AI for 6G O-RAN: Architecture, Use Cases, Challenges and Research Directions – IEEE
Aided by Artificial Intelligence (AI) and Machine Learning (ML), novel solutions targeting traditionally unsolved RAN management issues can be devised. Nevertheless, the adoption of such smart and autonomous systems is limited by the current inability of human operators to understand the decision process of such AI/ML solutions, affecting their trust in such novel tools. eXplainable AI (XAI) aims at solving this issue, enabling human users to better understand and effectively manage the emerging generation of artificially intelligent schemes, reducing the human-to machine barrier.
Enterprise services are a focus in both 5G and 6G. However, a major challenge lies in being able to deliver end-to-end quality of service guarantees, particularly where services travel across more than one operator network. Open RAN and open networks should help, but will that even be a 6G phenomenon?
In this 6G Roundup episode: Next G Alliance's candidate technologies for 6G, the German 6G-ANNA initiative, and Nokia's O-RAN in the US