Artificial Intelligence in Open Radio Access Network
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Abstract (arXiv)
This tutorial seeks to outline the proposed Open Radio Access Network (O-RAN) deployment for Fifth generation (5G) wireless networks. O-RAN seeks to supplant hardware-specific Radio Access Network (RAN) components (e.g., the mobility management entity (MME) or base station (gNB)) with generic hardware, specialized software, and open signaling interfaces. The virtualization and network slicing features of 5G allow for software to replace previously hardware specific functions. Software further provides faster analytics, thus supporting 5Gs latency requirements and advanced usage scenarios (i.e., enhanced mobile broadband (eMBB), massive machine type communications (mMTC), and ultra-reliable low latency communications (uRLLC)). Furthermore, as software annexes control of the RAN, there is freedom to integrate Artificial Intelligence/Machine Learning (AI/ML) algorithms into RAN management (particularly at the user plane). This integration is one of the goals of O-RAN. Lastly, relying on generic hardware and specialized, open-source software eliminates reliance upon specific device manufacturers. This paper will provide questions regarding the future of O-RAN, with a focus on 5G network device security.
Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Apr 2021.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2.
5 papers.
- 2022Robust Bayesian Learning for Reliable Wireless AI: Framework and Applicationscited by 9
- 2023Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approachcited by 5
- 2022Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)cited by 3
- 2021Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalizationcited by 2
- 2023How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?cited by 2
- 2023Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach13 Sep 2023
- 2023How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?1 Sep 2023
- 2022Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications1 Jul 2022
- 2022Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)16 Jan 2022
- 2021Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization2 Aug 2021