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AI-Native Mobile RAN Signal Processing - A Transformer-based Approach
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Fierce Network
How do you incorporate AI models into real-time mobile network signal processing?
Leveraging this new Transformer AI, this innovation has already delivered a 30% improvement in 5G AI-RAN throughput - setting the stage for the next wave of mobile network advancements.
This technical webinar will showcase the engineering breakthroughs behind SoftBank’s novel unified Transformer architecture - from algorithmic innovations to over-the-air (“OTA”) validation in 3GPP-compliant systems.
Architecture Deep-Dive: Transformer-based unified processing framework design, including components, challenges, design choices and principles.
Ideal for: Technology leaders and decision-makers at mobile network operators evaluating next-generation solutions; RF, signal processing, and hardware and software engineers at operators and network equipment providers; and AI/ML researchers in telecom.
['transformer'
'unified'
'transformerbased'
'realtime'
'mobile'
'processing'
'signal'
'researchers'
'ainative'
'technical'
'network'
'approach'
'softbanks'
'ran']