Autonomous Driving Mobile Network

Huawei

Autonomous Driving Mobile Network

With three major capabilities of network management, control and analysis, iMaster MAE interprets the intent of the service and applications from upper layer in terms of different scenarios, such as network planning, construction, optimization, maintenance and service provisioning. In addition, it can continuously ensure the network connectivity and the service SLA management, so as to realize the closed-loop in MBB domain.

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Large-scale 5G deployment has started. Multiple networking modes of legacy networks greatly increase the complexity of 5G site deployment for wireless and core networks. Huawei's site deployment solution simplifies operations from site deployment, configuration to acceptance and automates the full workflow, greatly improving delivery quality and integration efficiency of mobile networks.

With the introduction of AI technology, Huawei's network maintenance solutions achieve minute-level precise fault locating with the transformation from passive response to proactive prevention, online performance optimization based on scenario recognition and user experience prediction, and in-depth energy saving based on intelligent analysis of multi-RAT and multi-frequency networks. Smart O&M of the cross-layer and cross-domain telecom cloud can proactively prevent network failures and enable rapid recovery, providing the networks with high reliability, optimal experience and energy efficiency.

In the 5G era, the multi-dimensional dynamic slicing technology and MEC solution with plug-and-play features allow Huawei to differentiate services to industry customers in a real-time, flexible, and on-demand manner. With FWA(Fixed Wireless Access), Huawei provides accurate service provisioning evaluation, automatically allocates wireless network resources to FWA service requirements, helps network planning based on comprehensive analysis of network and user experience, and proactively manages user experience to meet personalized service.

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