Practical Approaches to Machine Learning for 5G and Beyond Wireless Network

Abstract

Wireless communication is now the market segment that is expanding the fastest, and this is because it can offer ubiquitous access to a wide range of applications and services at very low costs. This issue makes it difficult to analyze energy consumption and maximize that energy. Additionally, it might raise certain financial and environmental issues. Modern energy service companies are working to develop and implement energy solutions using cutting-edge technologies. Machine learning is overemphasized by all data scientists while being a widely used technology in the fields of advanced sciences. Automated decision-making is the foundation for advanced machine learning features. It has been noted that every industry is attempting to adopt and utilize machine learning and artificial intelligence in order to reduce reliance on humans. As the field of information technology continues to advance quickly, developers are working to incorporate machine learning for energy management in wireless systems.