Publication Details
Abstract
The aim of this work was to study how AI techniques can be used to improve the performance of 5G network. In addition, the work also investigated some of the challenges facing the integration of AI in 5G network systems. The research work was carried out using the review research method. This method provided the authors the opportunity to critically study the research works in this area, mostly the recent ones. From the research work, it was observed that some of the methods of improving 5G network performance using artificial intelligence technologies are network optimisation, interference management, beamforming, predictive maintenance, resource allocation, and self-healing networks. The results also showed that some of the impediments to the integration of AI with 5G network services are data security and privacy, infrastructure complexity, energy constraints, interoperability, ethical and regulatory issues, and data quality and volume. It was concluded that despite some challenges facing the integration of AI with the 5G network, AI technologies have the capacity to improve the signal strength of the 5G network. This result will be important to telecommunication service providers as well as stakeholders in communication sectors for the improvement of the services as well as the formulation of proper policy aimed at providing a quality service in telecommunication. The findings will be important in the areas of optimizing 5G network efficiency, predicting and mitigating signal degradation, and enhancing overall network reliability, and supporting widespread adoption of 5G technologies.