Enterprise-Built Campus

Huawei

Enterprise-Built Campus

Enterprise campus networks are more complex than ever due to the rapid development of new ICT technologies, such as cloud computing, AI, and big data. For high quality and simplified O&M, campus networks need E2E automation — from design and deployment to service provisioning and optimization.

Leveraging cloud computing, AI, and big data analytics technologies, iMaster NCE-Campus enables enterprise customers to build experience-centric campus networks that are fully connected. This enables the digital transformation of industries and implements network as a service (NaaS).

Key Features

Service Provisioning of Small- and Medium-sized Campus Networks in Minutes

It is difficult to ensure the quality of manually operated small- and medium-sized campus networks. Many parameters and steps require configuration, which is both time-consuming and labor-intensive, as professionals have to commission devices one-by-one on site. Planning can also lead to errors, as it needs to be repeatedly confirmed and modified. iMaster NCE-Campus supports plug-and-play for devices using app-based barcode scanning or DHCP-based deployment, suiting many different scenarios. It also uses GUI-based network planning and deployment, allowing service provisioning in minutes. Ultimately, this reduces deployment costs, simplifies local network deployment, and shortens the network construction period.

Consistent User Experience

Various types of emerging terminals, such as IoT, VR, and AR devices, need to have consistent permissions and access to the network anywhere, anytime. It's increasingly challenging for conventional networks to support these devices and adjust related services. iMaster NCE-Campus provides multiple authentication modes, such as 802.1X, portal, and social media authentication. By decoupling users from IP addresses, iMaster NCE-Campus provides users with consistent permissions and network access anytime, anywhere. It also supports six ways to intelligently identify access terminals, improving the accuracy of terminal identification. In this case, masses of IoT terminals are plug-and-play and intelligently connected, while policies are automatically matched and delivered.

Network Fault Locating in Minutes

Conventional O&M methods cannot detect network status in real time, as they rely on devices to report alarm information. Passive network O&M, which depends on experience and fault tracing and locating, causes poor user experience. Clearly, such network fault processing is both time-consuming and labor-intensive. iMaster NCE-Campus uses Telemetry to collect live network information in real time. It also uses big data analytics to display the user's entire network experience (who, when, which AP, experience, and issue). In addition, iMaster NCE-Campus perceives the real-time experience quality of audio and video applications, quickly and intelligently demarcates faulty devices, and analyzes the root causes of poor quality. iMaster NCE-Campus proactively identifies 90% of network issues using continuously trained AI algorithms. Meanwhile, iMaster NCE-Campus uses the fault inference engine to demarcate faults in minutes, identifies their root causes, and provides effective fault rectification suggestions. Ultimately, iMaster NCE-Campus modifies passive O&M to proactive optimization, improving user experience.