Council Post: How Machine Learning Will Boost 5G Network Performance

With a more complex network comes more complex problems -- in the sense that tracking down the cause of a service outage or other issue will be more difficult because of the system's complexity. More importantly, the plethora of possibilities makes planning and managing a complex ecosystem more difficult, from determining how best to supply services based on current and future demand to where and how to deploy equipment and services in the most efficient manner possible. Such a complex network requires a simplified solution, and deploying artificial intelligence (AI) and machine learning (ML) to solve these problems could be the solution carriers need to ensure they remain in control of their networks. AI/ML solutions would enable carriers to bring the benefits of 5G to customers, as well as aligning to a CTO's KPIs, overcoming the current situation in which monolithic, centralized networks strain themselves to deliver the advanced services customers are increasingly demanding. AI solutions, of course, use machine learning to discover patterns in large datasets, providing a clear picture of cause and effect in resource usage to enable data enrichment for better prediction and decision-making timing, demand and a thousand other factors that determine the quality of connections, whether voice or data.