Huawei Unveils White Paper on Autonomous Driving Network for Campuses to Help Campus Networks Evolve Toward Autonomous Driving

[Shenzhen, China, April 14, 2021] At the 18th Huawei Global Analyst Summit held in Shenzhen from April 12 to 14, Huawei unveiled its White Paper on Autonomous Driving Network for Campuses. The purpose of the white paper is to provide a roadmap on how to build a next-generation intelligent campus network, and thereby help enterprises overcome the challenges faced during digital transformation.

Huawei's Autonomous Driving Network Solution for Campuses not only builds fundamental network connectivity in enterprise campuses, but also safeguards campus network applications throughout the lifecycle. To facilitate the construction of autonomous driving networks for campuses, this white paper comprehensively describes the vision, levels, and architecture of autonomous driving networks for campuses, as well as providing some application practices for reference.

"Campus networks will develop toward full autonomous driving level by level. As part of this, we need to further explore and research how to improve automation and intelligence level of campus networks," said Liu Jiangping, Chief Marketing Officer of Huawei Autonomous Driving Network. "This white paper can be used as a practice reference for enterprises to build next-generation campus networks and help accelerate enterprise digital transformation."

Liu Jiangping, Chief Marketing Officer of Huawei Autonomous Driving Network

The white paper focused on how enterprise digital transformation is hindered by various factors, such as complex network technologies, lack of employee skills, and insufficient funds. Such challenges, however, are being mitigated with the explosion of network autonomy technologies, such as digital twins, intelligent terminal identification, configuration synthesis, and network calculus. Combining these technologies and networks can significantly enhance the automation and intelligence level of campus networks, accelerating the development of campus networks toward autonomous driving.

Considering the coordination between manual operations and network systems, Huawei defined six autonomous driving levels of campus networks in the white paper, ranging from manual management (L0) to full autonomous network (L5). Huawei's Autonomous Driving Network Solution for Campuses consists of three major components: campus network infrastructure, intelligent campus network management and control unit, and cloud AI, covering the entire network lifecycle, including network planning, construction, maintenance, and optimization phases. Huawei also defined the key capabilities required at each level of autonomous driving in each phase. This definition can be used as a reference for enterprise campus network planning and evolution, propelling campus networks toward autonomous driving networks featuring high-level automation, self-healing, and self-optimization.

Driven by user intents, Huawei's Autonomous Driving Network Solution for Campuses innovatively adopts cutting-edge network autonomy technologies, such as digital twins, to provide high-level network service capabilities. Looking ahead, Huawei will work with more customers, standards-defining organizations, and partners to simplify technology applications, lower skill requirements on network professionals, and reduce costs, thereby injecting new momentum into enterprises' digital service innovation and agile operation and accelerating enterprise digital transformation.

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