Related Experiment Video
Updated: Sep 1, 2025

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
Published on: February 3, 2021
Artificial Intelligence Applications and Self-Learning 6G Networks for Smart Cities Digital Ecosystems: Taxonomy,
Leila Ismail1,2, Rajkumar Buyya3
1Intelligent Distributed Computing and Systems (INDUCE) Research Laboratory, Department of Computer Science and Software Engineering, College of Information Technology, United Arab Emirates University, Abu Dhabi 15551, United Arab Emirates.
The development of 6G networks is driven by smart city applications, requiring a holistic approach that integrates AI, IoT, and edge computing for enhanced Quality of Service (QoS). This research examines the evolution of wireless networks to inform future 6G design for smart cities.
Failed At:
2026-06-19T13:39:40.367892+00:00
Related Concept Videos
Issues And Trends In Healthcare Delivery System
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
Levels of Use of a GIS
Non-equilibrium in the Cell
Introduction to GIS
Selected Data About Geographic Locations
Natural and Artificial Concepts
