MWC23 Shanghai On-Demand – 5G Futures Summit Session 3

5G-Advanced Intelligent Networking

5G adoption remains in full swing with global connection coverage set to reach 28% by 2025 and new use cases continue to emerge. 5G application use cases continue to develop to meet the diversified and complex all-scenario connection requirements for both the consumer and enterprise markets, and with complexity in the network increasing, the need for AI and automation is becoming more apparent.

Moderated by Hong Liu, Head of Technology, Greater China at GSMA, session 3 of the 5G Futures Summit at MWC23 Shanghai explored 5G-Advanced use cases and applications for enhancing network performance and efficiency from regional and global leading operators and mobile vendors.

 

Presentation Slides: Session 3 (English) View this page in Chinese
Watch on-demand: Speaker presentations

Xie Fang, China Mobile

Hear from Xie Fang, Principal Researcher and Technical Manager at China Mobile who discussed the progress of AI/ML in 3GPP, what can be expected in the next few years, and the outlook of R19 AI/ML for Air-Interface.

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Riping Wu, North East Asia, Ericsson

Watch Riping Wu, Head of Network Portfolio, North East Asia at Ericsson as he discusses the advancements and increased complexities of the network that requires AI capabilities, the evolution of automation within networks and Ericsson's AI use cases.

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Calvin Zhao, Huawei

Hear from Calvin Zhao, Vice President of Wireless MAE Product Line at Huawei on how Intelligent RAN is inspiring wireless network potential and accelerating the pace of adoption of new diverse services from mobile network operators.

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Panel discussion with China Mobile, China Unicom Research Institute and TM Forum

Hong Liu, Head of Technology, Greater China at GSMA was joined by experts from China Mobile, China Unicom Research Institute and TM Forum to debate the impact intelligent networks on the automation of networks, and the business models for a more sustainable ecosystem (energy efficiency, load balancing, optimisation) for improving the value chain.

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