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Digital Twins for Open, Programmable, and AI-driven Wireless Networks

Prazo para submissão: 31 December 2024

Data de Notificação: 01/04/2025

Editora: Elsevier

Revista: Computer Networks

Link: https://www.sciencedirect.com/special-issue/306487/digital-twins-for-open-programmable-and-ai-driven-wireless-networks

Detalhes:

A Digital Twin (DT) serves as a highly realistic digital version of real-world entities, assists the development and evaluation of complex systems such as wireless networks, offers real-time insights into such systems behavior and performance, and enables optimized control of the twinned physical entities. DTs serve as safe environments for testing different setups of real systems without affecting their performance or user experience. Complementing this, Artificial Intelligence (AI) augments th

Special Issues