From the course: AI in RAN (Radio Access Network): Transforming Mobile Networks

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Multi-access edge computing: The key to ultra-low latency

Multi-access edge computing: The key to ultra-low latency

From the course: AI in RAN (Radio Access Network): Transforming Mobile Networks

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Multi-access edge computing: The key to ultra-low latency

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Imagine a robotic arm assembling a car. If it waits 100 milliseconds for cloud processing, a misaligned weld could cost thousands. But what if the AI controlling it ran just 10 milliseconds away inside the factory? That's the game-changing promise of multi-access edge computing, which is MEC. If we start with the problem of traditional networks which send data to remote networks, the result would be higher latency, maybe going from 50 to 200 milliseconds, which is unacceptable for some real-time applications like industrial robotics or autonomous vehicles, or even for virtual reality. Now multi-axis edge computing solves this problem. It moves the compute and storage to the edge of the network, which is more closer to the users and the devices. It co-locates with the ODU, which is Open Distributed Unit, and OCU, which is Open Centralized Unit in Open RAN, or in fact, with certain core nodes such as User Plane Function in 5G Core, which enables ultra low latency and provide the…

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