# Artificial Intelligence-Defined 5G Radio Access Networks

**Authors:** Miao Yao, Munawwar Sohul, Vuk Marojevic, Jeffrey H. Reed  
**arXiv:** [1811.08792](https://arxiv.org/abs/1811.08792)  
**Date:** 2018-11-21  
**Summary page:** https://www.summarizepaper.com/en/arxiv-id/1811.08792v2/

## Key points

- Role of artificial intelligence (AI) in 5G radio access networks
- Three key enablers of 5G systems: massive multiple-input multiple-output antenna systems, millimeter wave communications, and ultra-dense networks
- Focus on the intelligent agent in 5G base stations combining sensing, learning, understanding, and optimizing
- Proposal of a flexible and rapidly deployable AI-based framework operating across different layers of the network infrastructure
- Use cases demonstrating how AI enhances important 5G-specific capabilities
- Value of AI in enabling network evolution beyond 5G
- Potential for AI to address emerging challenges and support advancements in communication technologies
- Importance of leveraging intelligent agents within base stations through a comprehensive framework for shaping the development and deployment of 5G systems.

## Summary

This article explores the role of artificial intelligence (AI) in 5G radio access networks. It highlights three key enablers of 5G systems: massive multiple-input multiple-output antenna systems, millimeter wave communications, and ultra-dense networks. The focus is on the intelligent agent in 5G base stations, which combines sensing, learning, understanding, and optimizing to facilitate these enablers. The authors propose a flexible and rapidly deployable AI-based framework that operates across different layers of the network infrastructure. This framework aims to meet the imminent and future demands of 5G and beyond. The article also presents several use cases that demonstrate how AI can enhance important 5G-specific capabilities. Furthermore, the authors discuss the value of AI in enabling network evolution beyond 5G. They emphasize the potential for AI to address emerging challenges and support advancements in communication technologies. Overall, this article provides insights into how AI can play a crucial role in shaping the development and deployment of 5G systems by leveraging intelligent agents within base stations through a comprehensive framework.
