Accountability and Reliability in 6G O-RAN: Who is Responsible When it Fails?

Future sixth-generation (6G) networks aim to enable new services with vastly different data rates, latencies, and scalability requirements. Open radio access network (O-RAN), a key architecture for 6G, provides flexibility, openness, and interoperability. However, the open architecture of O-RAN poses challenges for network accountability and reliability. This article analyzes the use cases and risks of multi-party collaboration in O-RAN and discusses its potential enabling technologies, including blockchain and machine learning, to address the accountability and reliability concerns around O-RAN. A feasibility study of a blockchain and large language model (LLM)-powered O-RAN is conducted to demonstrate the effectiveness of the concept. Performance evaluations show that these technologies can enhance the accountability and reliability of O-RAN, with certification processes of blockchain and customization of fine-tuning LLMs.

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Publication Details

Journal
IEEE Wireless Communications
Published
2025-03-29
DOI
https://doi.org/10.1109/mwc.001.2400292
Citations
1
Primary Topic
Advanced Wireless Communication Technologies
Type
article
Field-Weighted Citation Impact
0.73
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article

Accountability and Reliability in 6G O-RAN: Who is Responsible When it Fails?

Ren Ping Liu, Zhongqian Niu, Wei Ni, Ying He et al.
1 citations
IEEE Wireless Communications
Advanced Wireless Communication Technologies
0.73
article

Accountability and Reliability in 6G O-RAN: Who is Responsible When it Fails?

Ren Ping Liu, Zhongqian Niu, Wei Ni, Ying He, Xu Wang, Guangsheng Yu, Qin Wang
article en
1 citations

Abstract

Future sixth-generation (6G) networks aim to enable new services with vastly different data rates, latencies, and scalability requirements. Open radio access network (O-RAN), a key architecture for 6G, provides flexibility, openness, and interoperability. However, the open architecture of O-RAN poses challenges for network accountability and reliability. This article analyzes the use cases and risks of multi-party collaboration in O-RAN and discusses its potential enabling technologies, including blockchain and machine learning, to address the accountability and reliability concerns around O-RAN. A feasibility study of a blockchain and large language model (LLM)-powered O-RAN is conducted to demonstrate the effectiveness of the concept. Performance evaluations show that these technologies can enhance the accountability and reliability of O-RAN, with certification processes of blockchain and customization of fine-tuning LLMs.

IEEE Wireless CommunicationsVol. 32(2)
University of Technology Sydney (AU), Commonwealth Scientific and Industrial Research Organisation (AU), Data61 (AU)
Openalex Percentile: Top 30%
Advanced Wireless Communication Technologies
0.73
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