AI-RAN Case Studies Published Featuring Rakuten Mobile and T-Mobile
What happened
A case study published on September 28, 2026, details how Rakuten Mobile and T-Mobile are implementing AI into their Radio Access Networks (RAN). Rakuten Mobile is utilizing its virtualized open RAN foundation to automate network operations, achieving over 20% energy savings from a closed-loop system validated by TM Forum. Furthermore, Rakuten Mobile is collaborating with Intel to integrate AI inference alongside its vRAN workloads, allowing processing at the network edge rather than relying solely on central data centers. T-Mobile is approaching the issue by adding AI to its Self-Organizing Network (SON) setup, using intent-based automation to adjust neighboring cells.
From rcrwireless.com
Why it matters
The examples demonstrate a shift toward practical, AI-native RAN deployments, moving beyond theoretical concepts. The successful integration of AI inference into distributed compute environments signals a potential future standard for telecommunications infrastructure. This work focuses on how network operations can be automated using AI to improve efficiency and reduce reliance on centralized facilities.
From rcrwireless.com
Who's involved
- Rakuten MobileLeading example provider demonstrating AI-RAN implementation and energy efficiency.
- IntelPartnering with Rakuten Mobile on the development of AI inference solutions for vRAN workloads.
- EricssonTechnology company whose core business is affected by advancements in AI-RAN and vRAN.
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The entities involved
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Ericsson
company in Madrid, Spain
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Intel
American multinational technology company
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Rakuten Mobile
Japanese telecommunications company
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