Artificial Intelligence in Next-Generation Networks: Cloud/Edge Perspectives and Applications

Dear Colleagues,

Next-generation networks are expected to deal with a diverse range of applications. These applications will vary in requirements such as efficiency and trustworthiness. Artificial intelligence (AI) could enable such networks by adapting, optimizing, and providing intelligent services. This Special Issue explores the integration of AI in next-generation networks, focusing on cloud and edge computing perspectives while highlighting the role of promising technologies such as intelligent agents. More specifically, cloud computing provides a scalable and cost-effective solution for AI models, including, among others, network optimization, security threat detection, and service assurance. Edge computing, on the other hand, brings AI closer to the source of data, enabling real-time analysis and decision-making at the network edge. Additionally, in the context of next-generation networks, intelligent agents can be used in various applications, such as network management, user experience optimization, trustworthiness establishment, personalized network services, and automation.

The scope of this Special Issue, ‘Artificial Intelligence in Next-Generation Networks: Cloud/Edge Perspectives and Applications’, includes, but is not limited to, the following topics:

• AI techniques for network optimization;
• AI-powered network security;
• Edge AI for network applications;
• Edge AI for industrial IoT and autonomous systems;
• Cloud-based AI for network management;
• Intelligent agents for network automation;
• Self-organizing networks and autonomous network management;
• Intelligent agents for user experience optimization;
• Trustworthiness and security in AI-powered networks;
• Explainable AI and model interpretability.

Dr. Dimitris Karampatzakis
Dr. Thomas Lagkas
Dr. Kalliopi Kravari
Guest Editors

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