Solution Overview
Huawei CloudCampus Solution adopts a new philosophy of Intent-Driven Network (IDN), and introduces big data analytics and Artificial Intelligence (AI) technologies into cloud and software-defined networking (SDN). It helps enterprises build intelligent, simplified, converged, open, and secure networks.
Ultra-Broadband and Converged Campus Network Architecture
- Wired, wireless, and IoT convergence, meeting diversified access terminals and services
Huawei campus switches integrate the WLAN access controller (WAC) functionality to implement wired and wireless convergence and provide unified wired and wireless management and experience. Huawei APs integrate IoT modules to provide functions of IoT base stations, implementing converged and simplified management. The solution provides unified authentication and access policy control for wired and wireless users by integrating the user authentication, user management, and policy association functions. Administrators can obtain consistent user management experience and simplify O&M management of wired and wireless networks.
- All-scenario WLAN, ideal for differentiated access requirements of customers
Huawei provides Wi-Fi 6 APs, high-density APs, and an agile distributed Wi-Fi solution tailored for a diverse of scenarios, such as common indoor deployments, high-density stadiums, outdoor environments, and densely populated rooms. These offerings provide pervasive high-density WLAN coverage and deliver assured user access experience. The resulting benefits include convenient deployment and reduced investment costs.
Wi-Fi 6 is the sixth generation of Wi-Fi standards. It inherits a large number of key 5G technologies, such as orthogonal frequency division multiple access (OFDMA), multi-user multiple-input multiple-output (MU-MIMO), and 1024 Quadrature Amplitude Modulation (1024-QAM). Compared with Wi-Fi 5, Wi-Fi 6 offers a 4-fold increase in both the network bandwidth and concurrent user quantity, and shortens the network latency from 30 ms to 20 ms. All these merits enable Wi-Fi 6 to easily meet the ultra-large bandwidth, ultra-high density access, and ultra-low latency requirements in various application scenarios. Typical scenarios include, for example, 4K ultra-HD video conferencing (ultra-large bandwidth), high-density stadium (ultra-high concurrency), and VR (ultra-low latency). Based on the profound understanding and grasp of 5G technologies, Huawei becomes a major contributor to the Wi-Fi 6 standard. Huawei experts have served as the chairmen of five Wi-Fi standard working groups.
- Multi-GE access, higher bandwidth and more flexible network deployment
With the advent of 802.11ac standards and products, the access rate of wireless terminals exceeds 1 Gbps. However, the access rate of GE interfaces fails to meet this trend. Huawei provides abundant multi-GE switches that can supply PoE++ (60 W) power to APs within 300 m, implementing flattened network deployment and reducing investment costs.
Simplified Campus Network Deployment
- Automated deployment of a physical network: device pre-configuration and plug-and-play
Through the GUI, iMaster NCE-Campus implements automated deployment of devices, as well as route orchestration and interworking configuration of underlay networks.
- Automated provisioning of virtual networks: automated construction of virtual networks to achieve one network for multiple purposes
The solution deploys a fabric on iMaster NCE-Campus and automatically sets up VXLAN tunnels based on the BGP EVPN control plane. It implements automatic virtual network construction, centralized service configuration, and automatic service provisioning.
- Automated user policy configuration and delivery: user/service/experience-centricity for policy migration with users and consistent service experience
The free mobility solution uses iMaster NCE-Campus to plan user groups and inter-group policies and automatically deliver policies to network devices. When an authenticated user accesses the network using different terminals and at different locations, iMaster NCE-Campus automatically identifies the user and delivers the relevant user policies to the corresponding devices on the network. This achieves consistent access experience without compromised assurance. A user can have consistent policies and service experience anywhere, irrespective of its access locations.
Intelligent Campus Network O&M
The CloudCampus Solution introduces the campus network analyzer iMaster NCE-CampusInsight to change the traditional monitoring mode based on the resource status. By using Telemetry technology, the solution provides visualized data based on users, applications, and time, performs feature analysis and baseline calculation based on the machine learning algorithm, and identifies potential faults and locates root causes, improving user experience.
- Full-journey experience visibility for each user, at each moment
iMaster NCE-CampusInsight uses the de facto industry standard Telemetry technology to dynamically capture network KPI data in seconds, enabling fault tracing. iMaster NCE-CampusInsight collects data from multiple dimensions, displays network profiles of each user in real time, and displays full-journey network experience (who, when, which AP is connected, experience, and the issue).
- Automatic identification of network issues
Through big data and AI technologies, iMaster NCE-CampusInsight automatically identifies connection, air interface performance, roaming, and device issues, improving the potential issue identification rate to 85%. It leverages the machine learning algorithm to learn historical data and dynamically generates a baseline. It then predicts the possible faults by comparing real-time data with the dynamic baseline.
- Intelligent demarcation and root cause analysis of network issues
iMaster NCE-CampusInsight intelligently identifies fault patterns and impact scopes based on the network O&M expert system and various intelligent algorithms, helping administrators identify and demarcate faults. iMaster NCE-CampusInsight can also analyze possible fault causes by working with the big data platform and provides rectification suggestions.