From the course: Open RAN (ORAN) Architecture, Evolution, and Deployment

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ML use cases in open RAN: QoE and 3D MIMO

ML use cases in open RAN: QoE and 3D MIMO

From the course: Open RAN (ORAN) Architecture, Evolution, and Deployment

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ML use cases in open RAN: QoE and 3D MIMO

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(bright music) - [Instructor] One dropped frame in virtual reality can mean the difference between an immersive universe and the motion sickness. So 5G doesn't just need speed, it needs predictive intelligence to keep virtual reality perfect. And that's exactly where machine learning comes in. For virtual reality that never shutters, machine learning models act as a safety net. The continuously analyzing multidimensional data, such as user traffic posts like sudden movement in a game, or the resource consumption, like who is hogging more resources, or the real time latency measurements frame by frame. And the result is the models learn to preserve resources at exactly the right time and at right place keeping the virtual world perfectly smooth. If we look at the traditional quality of services, which looks backward, it reacts after things break. But machine learning powered quality of experience prediction looks forward. It can spot when latency might spike just three frames from now,…

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