From the course: AI in RAN (Radio Access Network): Transforming Mobile Networks
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MEC deployment: Guide to edge orchestration using Open RAN
From the course: AI in RAN (Radio Access Network): Transforming Mobile Networks
MEC deployment: Guide to edge orchestration using Open RAN
What if critical applications like autonomous factories, smart cities, or virtual reality could process data instantly without waiting for a distant cloud? That's where Mobile Edge Computing, MEC, comes in. It brings compute power closer to the user for lightning fast responses. In MEC, there are different layers that are present starting with the user or client layer. It belongs to smartphones, IoT sensors, or connected vehicles which are generating data. We then have the MEC host, which is an edge layer, which is a kind of a brain at the edge with compute, storage, and networking virtualized for ultra low latency application. Then we have the backend where we have a cloud ecosystem which handles the heavy duty processing in centralized data centers when needed. Now how exactly MEC works? When a new service is requested, it flows through the open RAN architecture and reaches the MEC host. Inside the MEC host, we have the underlying compute, network and storage resources. These are…
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The AI-RAN network challenge2m 56s
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Programmability in RAN through SDN principles3m 34s
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Overview of software-defined networking (SDN)2m 46s
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Deploying software-defined networking (SDN)5m 8s
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Multi-access edge computing: The key to ultra-low latency4m 54s
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MEC deployment: Guide to edge orchestration using Open RAN4m 14s
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