"Take Complexity, Create Simplicity" is the supreme principle of autonomous driving network (ADN), which is practiced throughout product planning, design, and development at Huawei. Collaborative evolution of network and O & M intelligence is the core of ADN, and in this regard Huawei has produced a three-layered open architecture delivering intelligence for networks and platforms for O & M, enabling telecom operators to accelerate their digital transformation.[1]

Figure 1. The Autonomous driving network (ADN)

Figure 1 shows Autonomous Driving Networks (ADN) is a Huawei initiative focused at enabling the efficient and automatic delivery and management of networks and services. ADN aims to deliver simplification, automation and intelligence to CSPs enabling them to become digital service providers. Huawei, working with the TMForum, are promoting the idea of autonomous networks as the future operating model for CSP and enterprise networks.

ADN is built on two pillars that enable automation:

• The iMaster suite of products providing network management and control capability
• A simplified network which has been optimized to remove protocol layers and therefore toenable management simplification.

iMaster suite has 3 layers, with 4 technology-specific self-managing (closed loop) domains, including:

• iMaster MAE provides network automation management of mobile networks
• iMaster NCE provides network automation management of fixed networks
• iMaster AUTIN provides network automation management of cross network domain services
• iMaster NAIE provides an AI infrastructure that consumes data from network and service management and provides policy and models that can be deployed to the management platforms and even to devices.[2]

World's First All-Optical Autonomous Driving Network White Paper Released by Huawei

The 7th UBBF (UBBF 2021) was held in Dubai under the theme of Connectivity+, New Growth. During the event, Kim Wang, Marketing Director of Huawei's NCE Optical Network domain, delivered a keynote speech titled " All-optical Autonomous Driving Network Transcends Superb Connectivity Experience ", and officially released the Huawei All-Optical Autonomous Driving Network White Paper for the first time.

The biggest challenge facing all-optical networks is the invisibility of dumb resources such as optical fibers and cables. The all-optical autonomous driving network solution introduces pre-connection and optical iris technology innovation at the NE layer and combines the image recognition and big data analysis and diagnosis capabilities of the iMaster NCE at the network layer to implement automatic ODN topology restoration, precise fault locating, and precise and visualized resource management. In addition, the intelligent analysis algorithm is used to predict deterioration faults in transmission fibers and OCh and identify potential risks of services carried by fibers in the same cable. In this way, service risks can be checked without manual intervention, instrument, or site visit. Passive processing after a fault occurs is changed to predictive protection.

To address the challenges of prominent home broadband service Wi-Fi problems, 90% of faults identified after customer complaints, and installation and maintenance personnel busy in fault locating, the all-optical automatic driving network solution implements E2E closed-loop processing from automatic identification, diagnosis, and optimization of home broadband faults. This solution reduces the number of home visits by 30% and shortens the fault locating duration by 60%, ensuring premium home broadband service experience.[3]

References:

1. https://carrier.huawei.com/en/adn
2. https://appledoreresearch.com/report/huawei-autonomous-driving-networks-adn/
3. https://www.lightreading.com/partner-perspectives-(sponsored-content)/worlds-first-all-optical-autonomous-driving-network-white-paper-released-by-huawei/a/d-id/773079

Cite this article:

Thanusri swetha J (2021), World’s first invention of Autonomous Driving Network, AnaTechmaz, pp. 24