TwinRAN: Twinning the 5G RAN in Azure Cloud
Yash Deshpande, Eni Sulkaj, Wolfgang Kellerer

TL;DR
TwinRAN introduces a cloud-based digital twin framework for 5G RAN, leveraging Azure DT platform, enabling real-time network management and optimization across multi-vendor Open RAN architecture.
Contribution
The paper presents a novel, vendor-agnostic digital twin framework for 5G RAN on Azure, with dual graph maintenance for broad and granular network monitoring.
Findings
TwinRAN can track the physical network within a few hundred milliseconds.
Performance evaluation shows effective resource use for 800 users and 8 gNBs.
The framework enhances network management capabilities in 5G deployments.
Abstract
The proliferation of 5G technology necessitates advanced network management strategies to ensure optimal performance and reliability. Digital Twin (DT)s have emerged as a promising paradigm for modeling and simulating complex systems like the 5G Radio Access Network (RAN). In this paper, we present TwinRAN, a DT of the 5G RAN built leveraging the Azure DT platform. TwinRAN is built on top of the Open RAN (O-RAN) architecture and is agnostic to the vendor of the underlying equipment. We demonstrate three applications using TwinRAN and evaluate the required resources and their performance for a network with 800 users and eight gNBs. We first evaluate the performance and limitations of the Azure DT platform, measuring the latency under different conditions. The results from this evaluation allow us to optimize TwinRAN for the DT platform it uses. Then, we present the system's architectural…
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Taxonomy
TopicsWireless Body Area Networks · Molecular Communication and Nanonetworks · Software-Defined Networks and 5G
