Assessing the opportunities and challenges for AI-RAN strategies
Integrating AI into radio access networks could transform mobile infrastructure, but there are challenges as well as opportunities for communications service providers (CSPs).
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Assessing the opportunities and challenges for AI-RAN strategies
Integrating AI into radio access network (RAN) hardware and software has the potential to provide communications service providers (CSPs) with transformative efficiency and performance gains. As a result, operators are starting to position themselves to take advantage of the AI-RAN opportunity. But there are some considerable challenges ahead, including high upfront costs and unproven return on investment, as well as energy consumption and security concerns.
This report assesses the main AI-RAN opportunities and challenges. It looks at the key drivers and use cases, as well as how it fits into operators’ wider Open RAN strategies.
