Track: Programmable Real-Time Networks |
| AI – RAN |
| Artificial Intelligence has rapidly improved as AI and machine learning models become more complex, accurate and useful. As a result, AI is increasing being applied to more complex operations. Recently, there has been growing talk about leveraging AI in wireless networks, with the latter continuing to deploy advanced 5G technologies and the development of 6G already underway. As part of these discussions, one area of focus has been about how AI can greatly enhance Radio Access Networks. This potential paradigm shift in telecommunications has the potential to allow for dynamic, automated management of RANs thereby allowing carrier networks to respond to multiple inputs in real time to ensure optimal network performance. AI-RAN promises greater efficiencies, from both a cost and network perspective, as well as increased flexibility. It has the potential to dramatically enhance real-world network experiences. This session will present an overview of AI-RAN as well as discuss recently announced plans by T-Mobile to develop and integrate AI-RAN technology into its 5G network. |
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| Presentation Video |
| Presentation Notes |
| Hagerson-AI-RAN.pptx |
Real Time Communications Conference & Expo at Illinois Tech
IEEE International Conference
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