Digital Twin for Intelligent Network: Data Lifecycle, Digital Replication, and AI-Based Optimizations

S Jang, J Jeong, J Lee, S Choi - IEEE Communications …, 2023 - ieeexplore.ieee.org
Mobile networks are becoming increasingly complex as generations evolve, thus making
manual organization and management no longer a viable option for network operators. To …

Generative AI-driven Digital Twin for Mobile Networks

H Chai, H Wang, T Li, Z Wang - IEEE Network, 2024 - ieeexplore.ieee.org
The sixth generation mobile network (6G) is evolving to provide ubiquitous connections,
multidimensional perception, native intelligence, global coverage, etc., which poses intense …

Wireless Network Digital Twin for 6G: Generative AI as A Key Enabler

Z Tao, W Xu, Y Huang, X Wang, X You - arXiv preprint arXiv:2311.17451, 2023 - arxiv.org
Digital twin, which enables emulation, evaluation, and optimization of physical entities
through synchronized digital replicas, has gained increasingly attention as a promising …

The interplay of ai and digital twin: Bridging the gap between data-driven and model-driven approaches

L Bariah, M Debbah - IEEE Wireless Communications, 2024 - ieeexplore.ieee.org
The evolution of network virtualization and native artificial intelligence (AI) paradigms have
conceptualized the vision of future wireless networks as a comprehensive entity operating in …

6G digital twin networks: From theory to practice

X Lin, L Kundu, C Dick, E Obiodu… - IEEE …, 2023 - ieeexplore.ieee.org
Digital twin networks (DTNs) are real-time replicas of physical networks. They are emerging
as a powerful technology for design, diagnosis, simulation, what-if-analysis, and artificial …

Guest Editorial Digital Twins for Mobile Networks—Part II

S Mumtaz, S Cherkaoui, M Guizani… - IEEE Journal on …, 2023 - ieeexplore.ieee.org
6G communication networks are expected to become an integral part of the infrastructure
needed for developing a smart society in the future. Addressing the challenges on the road …

A Comprehensive Survey on Revolutionizing Connectivity Through Artificial Intelligence-Enabled Digital Twin Network in 6G

M Sheraz, TC Chuah, YL Lee, MM Alam, Z Han - IEEE Access, 2024 - ieeexplore.ieee.org
The deployment of 5G has exposed capacity constraints in realizing the key vision of the
Internet of Everything (IoE). Therefore, the researchers are exploring potentials of Digital …

Artificial intelligence and machine learning in 5G and beyond: a survey and perspectives

A Haidine, FZ Salmam, A Aqqal… - … technologies for 5G and …, 2021 - books.google.com
The deployment of 4G/LTE (Long Term Evolution) mobile network has solved the major
challenge of high capacities, to build real broadband mobile Internet. This was possible …

Toward experience-driven traffic management and orchestration in digital-twin-enabled 6G networks

M Tariq, F Naeem, HV Poor - arXiv preprint arXiv:2201.04259, 2022 - arxiv.org
The envisioned 6G networks are expected to support extremely high data rates, low-latency,
and radically new applications empowered by machine learning. The futuristic 6G networks …

Digital twins for 5G networks: A modeling and deployment methodology

MS Rodrigo, D Rivera, JI Moreno… - IEEE …, 2023 - ieeexplore.ieee.org
A Mobile Networks Digital Twin (MNDT) is a virtual replica of a mobile communication
network that accurately models the devices, the communication links, the operating …