Evaluating the opportunities and difficulties for AI-RAN methods

by Sean Felds

Analyzing the chances and obstacles for AI-RAN approaches

Incorporating AI right into radio gain access to network (RAN) hardware and software has the prospective to supply interactions company (CSPs) with transformative effectiveness and efficiency gains. As a result, drivers are starting to position themselves to make use of the AI-RAN chance. However there are some considerable difficulties ahead, consisting of high upfront expenses and unverified return on investment, along with energy intake and security problems.

This report assesses the major AI-RAN opportunities and obstacles. It considers the vital chauffeurs and use instances, in addition to how it suits drivers’ wider Open RAN techniques.


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