5GB SMART, bringing wireless networks into the intelligent and autonomous era

PARTNER CONTENT: At the 4th Wireless Autonomous Driving Network Industry Forum, Ma Hongbo, Chairman of Huawei Wireless SingleOSS Product Line, delivered a keynote address titled “5GB SMART, Bringing Wireless Networks into the Intelligent and Autonomous Era “. The forum was held as part of the 12th Global Mobile Broadband Forum. In his speech, Mr. Ma highlighted the importance of network autonomy for 5G operators, predicting five key areas of evolution for wireless networks: Simplified, Maximizing, Agile, Robust and Thoughtful (5Gb SMART). These changes will result in autonomous driving networks with automated operation and maintenance, ultimate performance and a low carbon footprint.

Operators focus on autonomous driving networks

Over the past decade, the evolution of wireless networks has brought new opportunities as well as increased complexity of network OPEX and O&M. With 5G, the mobile communications industry is promoting the concept of autonomous driving networks by integrating wireless networks with intelligence.
During the conference, Mr. Ma explained that operators are gradually and hierarchically implementing autonomous driving networks as a basic strategy. In fact, according to a study conducted by TMF Autonomous Networks in 2021, more than 80% of 42 operators surveyed independently believe they will deploy a fully autonomous driving network at scale in the next decade.

5Go SMART: five trends for wireless autonomous driving networks

Wireless autonomous driving networks will integrate both network and site intelligence, developing independent intelligence processes and gradually evolving towards intelligent autonomy.

Trend 1 GB simplified: Network construction will become smarter and simpler throughout its lifecycle. Intelligence will be introduced into sites, facilitating intelligent detection and simplified site configuration, much like adding “eyes” and a “brain”. The intelligence of networks and base stations will work together to adapt to a variety of contexts, resulting in self-configuration of the network and intelligent acceptance of ancillary sites. Ultimately, the entire network construction lifecycle will be simplified.

Trend 2 GB Maximize: Vertical collaboration will maximize the potential of the network. Intelligence will also be introduced into the air interface, along with the use of technologies, such as channel graph and planning dictionary, for more flexible resource planning and spectrum decoupling, thereby maximizing the performance of the network. ‘one site. The network will use 3D beam planning and intelligent parameter optimization to maximize performance across all frequency bands. In addition to improved performance and experience, the network will balance and maximize network energy efficiency using energy saving technologies at the site, device and network layers.

3 Go Agile Trend: The whole process of 5G services will become more agile. Today, every industry requires better network construction and maintenance than in the past. Thus, intelligence will be introduced in the planning, construction, maintenance and optimization phases of toB networks. This will result in automatic translation of service intentions, precise intelligent network planning and proactive service assurance, making 5GtoB service deployment more agile.

Trend 4 GB Robust: 5G networks will become more reliable. Intelligence capabilities, such as self-learning of fault functions and intelligent analysis of time sequences, will be introduced to implement precise fault identification and intelligent root cause analysis. This will turn manual troubleshooting into automatic, implement failure prediction and prevention, shift from passive response to proactive maintenance, improve network robustness, and ultimately create more reliable 5G networks.

Trend 5 GB Think: 5G networks will be able to “think”. Together, site and network intelligence will become the basis for wireless autonomous driving networks. Base stations will gradually become intelligent, creating digital twins. They will also have a per-device federated learning capability to add intelligence to each terminal. The powerful computing capacity of the wireless intelligent engine will be able to self-learn and self-evolve using massive network data as well as algorithms and models. Finally, wireless networks will essentially be able to think.

Ma Hongbo noted, “Currently, autonomous driving networks in the field of mobile communications are between the L2 and L3 levels. Achieving fully autonomous control networks requires the joint efforts of all industry stakeholders in terms of level criteria, assessment systems and application collaboration. Huawei will continue to work with operators and industry partners to innovate SMART and enable autonomous networks. “

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