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5 G and Accelerated Network Automation PDF Print E-mail
Thursday, 29 November 2018 05:59

A full 80% of mobile operators worldwide say that automation will be the most important way to reduce the operating cost of their next generation networks.

David Wang, Executive Director of the Board, and Chairman, Investment Review Board, Huawei tells us they have identified seven scenarios, within the lifecycle of the mobile network, which can be automated in a step-by-step manner. Within each scenario, the operator can implement different levels of automation, starting with 4G and evolving in the 5G era.

Today, we are standing at the entrance to a fully connected, intelligent world. As a leading ICT solution provider, Huawei has released the AI strategy and full-stack all-scenario AI portfolio. With the introduction of AI capabilities, autonomous driving is becoming a reality, and autonomous driving networks  are also coming.

Currently, the OPEX of telecom operators remains high. With the advent of the 5G era, networks become much more complex, posing the following challenges: difficult network O&M due to coexistence of multiple RATs, multiple frequency bands, and HetNet; unleashing the full potential of new technologies, such as Massive MIMO; coordinating among a variety of services in real-time while ensuring service experience.

Intelligent technologies need to be introduced at edge, local, and cloud to build a three-layer autonomous driving network architecture. Mobile networks are distributed with massive sites, and there are a lot of real-time processing requirements. Local intelligence should be implemented with the coordination between site nodes and domain nodes so as to realize intra-layer autonomy. As networks grow increasingly complex, network automation has become a consensus of the whole industry.

Accelerating network automation becomes essential. By drawing on the concept of autonomous driving level (L0–L5), Huawei describes autonomous driving scenarios in mobile networks and defines the scenarios by level based on the operator's core operation process. The white paper builds consensus in the industry, and helps us take concrete steps to realize full autonomous driving in mobile networks and benefit from network automation in a timely manner.

Huawei identifies seven key autonomous driving scenarios in mobile networks from three dimensions: network O&M lifecycle, digitalization, and scenario-specific TCO contribution. The seven key scenarios include: base station deployment, feature deployment, network performance monitoring, fault analysis and handling, network performance improvement, home service provisioning, and network energy saving. Telecom operators can promote network automation based on service pain points, and gradually reduce the high OPEX caused by the sharply increasing network complexity. With further research, Huawei will continuously update autonomous driving scenarios and release the research results.

Huawei also discloses five key basic capabilities (POBSI model) for network automation: Programmable, Online, Bridging, Sensibility, and Intelligence. It points out that telecom operators need to build different capabilities for different scenarios. For example, to improve network performance, the mobile network must be highly intelligent to face the time-varying mobile scenarios and the dynamic balance among multiple parameters. However, the key in base station deployment scenarios is the E2E bridging to realize closed-loop workflow automation.

"Building autonomous driving networks is a new mission in the MBB industry. We need to innovate the architecture and key technologies to achieve continuous breakthrough in automation. We need to introduce AI capabilities from Cloud, Network, and Site to enable all-scenario autonomous driving in mobile networks," said Wang.

Wang concluded, "Huawei is committed to developing leading ICT solutions through continuous innovation, and taking complexity itself while creating simplicity for our customers. Together, we will promote autonomous driving in mobile networks and embrace a fully connected, intelligent world."