During MWC24 Barcelona, Gao Zhiguo, President of Huawei Cloud Core Network Product Line, released 55G Intelligent Core Network Solution, 2024 is 5The first year of commercial use of 5G, 5The 5G intelligent core network has endogenous service intelligence, network intelligence, and O&M intelligence, enabling the realization of network business value.
Business intelligence: Reshape call monetization
In 2023, the new call has been deployed in 31 provinces in China, supporting 50 million users, and has been widely verified in Europe, Latin America, the Middle East, Asia-Pacific and other regions, and is planned to be commercialized in 2024Gao Zhiguo said, "Huawei's industry-first new call-A has officially entered the era of multimodal communication through continuous upgrades of intelligent capabilities and data channel interaction capabilities (DC), helping operators reconstruct their services. At the same time, Huawei's MCF (Media Control Function) real-time voice-driven digital human component relies only on voice input during calls, and real-time rendering drives thousands of people, so that enterprises can have their own image ambassadors to display as corporate brand business cards in the future.
Network intelligence: Realize experience monetization and differentiated operations
Huawei has launched the industry's first Intelligent Personalized Experience (IPE) solution to help operators upgrade their experience benefits from the traffic management model to the best of the best, and achieve differentiated experience management.
With the increase of large-stream services (such as 2K 4K HD, 2K 4K live streaming, and micro-burst elephant streams), large-stream services are prone to exceed the single-core load in one VCPU, resulting in packet loss. Gao Zhiguo said, "Huawei has launched the industry's first Intelligent UDG product to achieve the ultimate ubiquitous 10 Gigabit experience. ”
O&M intelligence: Ensures high network stability and efficiency
Based on the multi-modal large model of O&M, Hongtu O&M Expert (DAE) reconstructs the cloud-based O&M model to reduce the burden and increase the efficiency of network O&M: from the high-level expert + tool model to the DAE + human-assisted intelligent center mode, from 100% work order manual processing to 80% work order automatic processing, from manual decision-making to intent-driven visual O&M, and from the 5-year training cycle of a single expert to the weekly training and update of the multi-modal large model of O&M.