The radio access network (RAN) is all the RF part of a mobile network: towers, base stations, the signals between our phones and the towers, phone-to-satellite comms (non-terrestrial network or NTN).
AI-RAN uses AI/ML for adaptive behaviors and optimizations in all these links.
For example, fine-grained RF and modulation details, called the channel state information (CSI), is constantly being exchanged between a phone and a base station. The volume of information creates transmission latencies. Using autoencoder models, this information can be semantically compressed to reduce its volume and decoded with high fidelity on the other side.
That's just one example. In the upcoming 6G, RAN will be "AI-native", using AI/ML everywhere. The standards may require AI accelerator chips in most base stations, NTN satellites, phones, and other elements.
AI-RAN is the strategic play here because it's unknown (outside of research lab NDAs ?) what potential real-time physical AI/ML implementation will have on the future of edge processing like organizing the low-layer 6G spectrum contention mechanisms. It's a near certainty that custom AI accelerators are a part of every radio base station in the near future so this is not cash investment but a new product line Joint Venture similar to the Intel story.
It's the name given to an initiative by telco vendors like Nokia and Ericson to explore using NVIDIA GPUs to supply the core compute needs of next generation Radio Access Networks (RAN).
The radio access network (RAN) is all the RF part of a mobile network: towers, base stations, the signals between our phones and the towers, phone-to-satellite comms (non-terrestrial network or NTN).
AI-RAN uses AI/ML for adaptive behaviors and optimizations in all these links.
For example, fine-grained RF and modulation details, called the channel state information (CSI), is constantly being exchanged between a phone and a base station. The volume of information creates transmission latencies. Using autoencoder models, this information can be semantically compressed to reduce its volume and decoded with high fidelity on the other side.
That's just one example. In the upcoming 6G, RAN will be "AI-native", using AI/ML everywhere. The standards may require AI accelerator chips in most base stations, NTN satellites, phones, and other elements.
Thank you, the future is awesome!
So it is still just a concept being developed? It might or might not work?
AI-RAN is the strategic play here because it's unknown (outside of research lab NDAs ?) what potential real-time physical AI/ML implementation will have on the future of edge processing like organizing the low-layer 6G spectrum contention mechanisms. It's a near certainty that custom AI accelerators are a part of every radio base station in the near future so this is not cash investment but a new product line Joint Venture similar to the Intel story.
It's the name given to an initiative by telco vendors like Nokia and Ericson to explore using NVIDIA GPUs to supply the core compute needs of next generation Radio Access Networks (RAN).
It's a potential 6G architecture.