Artificial Intelligence for 5G Wireless Systems: Opportunities, Challenges, and Future Research Directions

TL;DR

This paper reviews how artificial intelligence can enhance 5G wireless systems by addressing challenges, improving design, and outlining future research opportunities in areas like resource allocation and network management.

Contribution

It provides a comprehensive survey of AI applications in 5G, highlighting case studies, challenges, and future research directions in the field.

Findings

AI improves resource allocation in 5G networks

AI enhances network management and security

Future research should focus on integrating AI more deeply into 5G systems

Abstract

The advent of the wireless communications systems augurs new cutting-edge technologies, including self-driving vehicles, unmanned aerial systems, autonomous robots, Internet-of-Things, and virtual reality. These technologies require high data rates, ultra-low latency, and high reliability, all of which are promised by the fifth generation of wireless communication systems (5G). Many research groups state that 5G cannot meet its demands without artificial intelligence (AI) integration as 5G wireless networks are expected to generate unprecedented traffic giving wireless research designers access to big data that can help in predicting the demands and adjust cell designs to meet the users requirements. Subsequently, many researchers applied AI in many aspects of 5G wireless communication design including radio resource allocation, network management, and cyber-security. In this paper, we provide an in-depth review of AI for 5G wireless communication systems. In this respect, the aim of this paper is to survey AI in 5G wireless communication systems by discussing many case studies and the associated challenges, and shedding new light on future research directions for leveraging AI in 5G wireless communications.