Development of open radio access networks (O-RAN) for real-time robotic teleoperation

Open Radio Access Networks (O-RAN) offer a flexible RAN architecture for future 6G systems, yet their complexity and lack of real-world testbeds pose interoperability challenges, particularly with emerging software platforms and robotic systems. Here we present a real-world software-defined radio testbed based on an open-source 4G long-term evolution (LTE) system, integrated with the near-real-time (Near-RT) RAN Intelligent Controller (RIC) via standard O-RAN E2 interfaces. It enables connectivity with robotic end devices such as a haptic controller and robotic arm, demonstrating the activation of E2 functionality within a live RAN environment. The testbed enables haptic operation with sub-one-second latency and block error rate (BLER) under 12% for tasks such as dental inspection use cases. We also demonstrate replacement of software-defined radios (SDRs) with low-power mobile dongles, achieving comparable 10 Mbps throughput while cutting power consumption by 90%. This setup establishes a foundation for advancing research and integration in managing next-generation RANs.

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Publication Details

Journal
Communications Engineering
Published
2025-10-21
DOI
https://doi.org/10.1038/s44172-025-00524-0
Primary Topic
Energy Harvesting in Wireless Networks
Type
article
Field-Weighted Citation Impact
0.00

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article

Development of open radio access networks (O-RAN) for real-time robotic teleoperation

Shuja Ansari, Burak Kizilkaya, Arzad A. Kherani, Qammer H. Abbasi et al.
Communications Engineering
Energy Harvesting in Wireless Networks
article

Development of open radio access networks (O-RAN) for real-time robotic teleoperation

Shuja Ansari, Burak Kizilkaya, Arzad A. Kherani, Qammer H. Abbasi, Brejesh Lall, Jalil ur Rehman Kazim, Saber Hassouna, Muhammad Ali Imran, Jaspreet Kaur
article en

Abstract

Open Radio Access Networks (O-RAN) offer a flexible RAN architecture for future 6G systems, yet their complexity and lack of real-world testbeds pose interoperability challenges, particularly with emerging software platforms and robotic systems. Here we present a real-world software-defined radio testbed based on an open-source 4G long-term evolution (LTE) system, integrated with the near-real-time (Near-RT) RAN Intelligent Controller (RIC) via standard O-RAN E2 interfaces. It enables connectivity with robotic end devices such as a haptic controller and robotic arm, demonstrating the activation of E2 functionality within a live RAN environment. The testbed enables haptic operation with sub-one-second latency and block error rate (BLER) under 12% for tasks such as dental inspection use cases. We also demonstrate replacement of software-defined radios (SDRs) with low-power mobile dongles, achieving comparable 10 Mbps throughput while cutting power consumption by 90%. This setup establishes a foundation for advancing research and integration in managing next-generation RANs.

Communications EngineeringVol. 4(1)
Abu Dhabi University (AE), Indian Institute of Technology Bhilai (IN), Indian Institute of Technology Delhi (IN), University of Glasgow (GB)
University of East Anglia, Engineering and Physical Sciences Research Council
Openalex Percentile: Top 70%
Energy Harvesting in Wireless Networks
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