Omdia Technology Analysis: AI-based RAN solutions


Communications service providers (CSPs) look to automation to manage their increasingly complex radio access network (RAN) environments. AI is seen as the route to achieving this automation, with COVID-19 adding further impetus to the CSPs’ search for more intelligent solutions to support remote network operations.

In previous Omdia reports—Using AI in the RAN: How AI addresses challenges in the RAN and Using AI in the RAN: Identifying and Addressing the Roadblocks—Omdia investigated the use cases for AI in the RAN and highlighted the challenges and best practices CSPs should consider when deploying this technology. Understanding what key technology components are required to embed AI in the RAN is a key question that CSPs and the vendor community have today.

To answer this question, Omdia surveyed eight vendors to understand how they are currently embedding AI within their RAN solutions. This study will show CSPs how the RAN environment and its supporting operations will need to evolve to support the successful implementation of AI.

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