From the course: AI in RAN (Radio Access Network): Transforming Mobile Networks
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Radio intelligent controllers (RIC)
From the course: AI in RAN (Radio Access Network): Transforming Mobile Networks
Radio intelligent controllers (RIC)
Our brain has two sides. That's your reflex pan. One reacts instantly when you touch a hot system. The other plans your weekly meals and that's your strategist. Open RAN works in the exact same way. Let's meet its two intelligent controllers that make both split second and long term decisions. Starting with the new real time intelligent controller which is a reflex master. It reacts in under 1 second perfect for things like beam adjustment or load balancing. Whereas the known real time brick is the big picture thinker. It works on tasks over 1 second like studying traffic patterns and training machine learning models to predict future demand. But how this whole feedback loop works using machine learning? Taking an example of traffic sharing, we have a network management system which collects cell data continuously like user counts or maybe PRB utilization. It then being collected by the known real-time rig which analyzes the trends, trained the machine learning model and set the…
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Disaggregation and virtualization in 5G RAN4m 50s
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Open RAN architecture: O-RAN ALLIANCE2m 55s
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Integrating machine learning in Open RAN2m 17s
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Radio intelligent controllers (RIC)2m 41s
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Near-real-time RIC and xApps: Intelligent use cases3m 4s
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Non-real-time RIC and rApps: Long-term network optimization3m 21s
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