联通网研院首席科学家唐雄燕：AI-enabled Network Transformation and Service Innovations.pptxVIP

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2021-10-30 发布于北京
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联通网研院首席科学家唐雄燕：AI-enabled Network Transformation and Service Innovations.pptx

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AI-enabled Network Transformation and Service InnovationsDr. Xiongyan TangChief Architect, Intelligent Network, China Unicom2019-06-27AI-enabled intelligent network is the future network12IP Network4TDM NetworkAI-enabled Intelligent Network33G/4G, DSL/FTTx2G/PSTNSDN/NFV-based Cloud Network5G/6G, FTTH4G/5G, FTTH2134Traditional InternetCloud ServicesIntelligent ServicesVoice CommunicationsThe core value of AI for telecom networks：Intelligent network operationAlong with the expansion of the network and the increased number of connections, as well as the virtualization of the network, the network operation faces great challenges. It becomes essential to realize the intelligent network with AI and big data.SDN/NFV laid the foundation for applying AI in telecom networksIntelligent NetworkIntelligent operation maintenance + Autonomous evolutionTraditional Network Manual operation maintenance+System assistance Real-time Reasoning and Control AI model library off-line trainingNetworkOperation and maintenance personnelAuxiliary toolsArtificialData platformAI modelIntelligence strategyNetwork self-operationAutomatic inspection, self-evolutionClosed-loop for planning, construction and maintenanceArtificial maintenancePost-optimizationOpen-loop of planning, construction and maintenanceNetwork transformation and 5G development need AIChallengesIncreasing network traffic and connections make the size of network is greatly expanded. Network management and OPEX face challengesDataSDN/NFV/Cloud greatly increases the complexity and difficulty of network management and operation. AI is a must for 5G and network transformation The flexibility and complexity of 5G networks bring challenges to network planning, maintenance and optimization.??ComputingAlgorithmService innovations put forward higher requirements for automation and intelligence of network operationData: A large amount of data generated by network, terminals and services lay the foundation for AI mining and analyzing. Oppo