人工智能与6G的融合.pdf

1、1The Integration of AI and 6GExploring AI-Native air interfaces,use cases,and validation techniques for enhanced network performanceMattia Lecci one6G Summit 2025-Bologna2Keysight Participation to Cooperative EU Projects in 6G,AI,Metrology28Countries58Universities31R&D Institutions/Metrology Institu

2、tes41Network Operators/Industry Leader100High-tech Small and Medium-sized Enterprises 6GSatNetMAORI5GENIBUSThe integration of AI and 6G-Mattia Lecci 3 When and How AI Meets 6G?Wireless Testing with AI Why is it Different?6G AI-Based Models Validation Solution 6G AI Neural Receiver Design Solution Co

3、nclusionAgendaThe integration of AI and 6G-Mattia Lecci 46G Key Technologies and How AI impact ThemAI will speed up design cycles for complex circuits by improving data handling,simulations,and digital complianceAI will improve network performances by learning from historical data and adapting to ch

4、anging conditionsDigital twins provide a sandbox for experimentation and a source of synthetic data used for AI/ML algorithm trainingAI boosts JCAS systems by using deep learning to filter noise,detect patterns,and extract useful informationAI and ML solutions are can effectively discern patterns wi

5、thin dynamic,multi-dimensional data,providing superior performanceAI can implement advanced encryption techniques and privacy-preserving algorithms to protect user dataAIJCAS The integration of AI and 6G-Mattia Lecci 5Toward a 6G AI-Native Air InterfaceThree main stepsEncodingSymbol MappingModulatio

6、n/WaveformSync.Channel EstimationEqualizationSymbol DemappingDecodingMLMLMLMLMLMLML Deep RXMLMLMLTransmitterReceiverJ.Hoydis,F.A.Aoudia,A.Valcarce .V w ,“T w 6G -N ve e f e,”EEE M z e May 20215GThe classical architecture5G-AdvancedML replaces/enhances individual processing blocksML replaces multiple