Digital Twin for O-RAN Toward 6G
In future wireless systems beyond 5G and 6G, addressing diverse applications with varying quality requirements is essential. Open radio access network (O-RAN) architectures offer the potential for dynamic resource adaptation based on traffic demands. However, achieving real-time resource orchestration remains a challenge. Simultaneously, digital twin (DT) technology holds promise for testing and analyzing complex systems, offering a unique platform for addressing dynamic operation and automation in D-RAN architectures. Yet, developing DTs for complex 5G/6G networks poses challenges, including data exchanges, ML model training data availability, network dynamics, processing power limitations, interdisciplinary collaboration needs, and lack of standardized methodologies. This article provides an overview of D-RAN architecture, and its trends and challenges, proposing the DT concepts for O-RAN with solution examples showcasing its integration into the framework.
Authors
- Duc To
- Kexuan Sun (ORCID: https://orcid.org/0000-0003-3261-7358)
- Huan X. Nguyen (ORCID: https://orcid.org/0000-0002-4105-2558)
- Quoc‐Tuan Vien (ORCID: https://orcid.org/0000-0001-5490-904X)
- Tuan Anh Le (ORCID: https://orcid.org/0000-0003-0612-3717)
Institutions
- Rakuten (Japan) (JP)
- Middlesex University London (GB)
Publication Details
- Journal
- IEEE Communications Magazine
- Published
- 2024-10-14
- DOI
- https://doi.org/10.1109/mcom.003.2400016
- Citations
- 14
- Primary Topic
- Software-Defined Networks and 5G
- Type
- article
- Field-Weighted Citation Impact
- 4.88