Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications

<ns7:p> Background The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration <ns7:italic>via</ns7:italic> centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous Artificial Intelligence (AI), distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided. </ns7:p>

Authors

Publication Details

Journal
Digital Twin
Published
2025-05-06
DOI
https://doi.org/10.12688/digitaltwin.17720.3
Citations
1
Primary Topic
IoT and Edge/Fog Computing
Type
article
Field-Weighted Citation Impact
1.49

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications

Wanfei Sun, ming ai, Min Shu, xiaoyan duan et al.
1 citations
Digital Twin
IoT and Edge/Fog Computing
1.49
article

Digital-twin-enabled 6G network autonomy and generative intelligence: Architecture, technologies and applications

Wanfei Sun, ming ai, Min Shu, xiaoyan duan, Jing Zhang
article en
1 citations

Abstract

<ns7:p> Background The 6G network provides on-demand services and efficient governance, which is an important capability of the 6G network in the future. Providing more flexibility, availability, and dynamicity in services and network function enablement face many challenges in the 6G network due to the system complexity. To fulfill the requirement of the new generation of a digital and intelligent network, the 6G architecture with digital twin as a new enabler technology, is expected to evolve in the network autonomy and generative intelligence properties, which could optimize and adapt the network and services themselves to a variety of scenarios and deployments. Methods To achieve 6G network autonomy and generative intelligence, we propose an architecture based on digital twin technology. This architecture integrates the digital twin network with the minimalist network and supports single-domain autonomous and cross-domain collaboration <ns7:italic>via</ns7:italic> centralized-distributed digital twin deployment, and defines the interactions between the digital twin and the service layer as well as the physical network. Results Based on the analysis of the architecture, we put forward the following design principles for the 6G digital twin network architecture: decoupling, interactions, endogenous Artificial Intelligence (AI), distribution, heterogeneity, autonomous, and closed-loop. In addition, we get the key technologies achieving collaboration efficiently between the network autonomy domain and generative intelligence domain in the distributed digital twin system. Important application directions of the 6G digital twin network architecture are also analyzed. Conclusions In this paper, the new digital-twin-enabled 6G architecture and 6G digital twin network architecture design principles are proposed. The key technologies and important application of digital-twin-enabled 6G architecture are provided. </ns7:p>

Digital TwinVol. 2
National Key Research and Development Program of China
Openalex Percentile: Top 18%
IoT and Edge/Fog Computing
1.49
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.