# Artificial Intelligence in Open Radio Access Network

arXiv: https://arxiv.org/abs/2104.09445 · HTML: https://mlsanity.com/paper/2104.09445/

## Key facts

- Cited by 5 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 19 Apr 2021.

## Built on by (most cited first, 5 of 5)

- [Robust Bayesian Learning for Reliable Wireless AI: Framework and Applications](https://mlsanity.com/paper/2207.00300/) (2022)
- [Safe and Accelerated Deep Reinforcement Learning-based O-RAN Slicing: A Hybrid Transfer Learning Approach](https://mlsanity.com/paper/2309.07265/) (2023)
- [Adversarial Machine Learning Threat Analysis and Remediation in Open Radio Access Network (O-RAN)](https://mlsanity.com/paper/2201.06093/) (2022)
- [Bayesian Active Meta-Learning for Few Pilot Demodulation and Equalization](https://mlsanity.com/paper/2108.00785/) (2021)
- [How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?](https://mlsanity.com/paper/2309.00489/) (2023)

## 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.