DTRAN: A Special Use Case of RAN Optimization using Digital Twin

Tunc, Caglar; Duran, Kubra; Bilgin, Buse; Kalem, Gökhan; Canberk, Berk

Abstract

The emergence of beyond 5G (B5G) and 6G networks underscores the critical role of advanced computer-aided tools, such as network digital twins (DTs), in fostering autonomous networks and ubiquitous intelligence. Existing solutions in the DT domain primarily aim to model and automate specific tasks within the network lifecycle, which lack flexibility and adaptability for fully autonomous design and management. Unlike the existing DT approaches, we propose RAN optimization using the Digital Twin (DTRAN) framework that follows a holistic approach from core to edge networks. The proposed DTRAN framework enables real-time data management and communication with the physical network, which provides a more accurate and detailed digital replica than the existing approaches. We outline the main building blocks of the DTRAN and describe the details of our specific use case, which is RAN configuration optimization, to demonstrate the applicability of the proposed framework for a real-world scenario.

Citation

Tunc, C., Duran, K., Bilgin, B., Kalem, G., & Canberk, B. (2024, June). DTRAN: A Special Use Case of RAN Optimization using Digital Twin. Paper presented at 2024 European Conference on Networks and Communications EuCNC & 6G Summit, Antwerp, Belgium

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: 2024 European Conference on Networks and Communications EuCNC & 6G Summit
• Start Date: Jun 3, 2024
• Acceptance Date: Sep 30, 2024
• Deposit Date: Oct 11, 2024
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Related Public URLs: https://www.eucnc.eu/2024/www.eucnc.eu/programme/index.html