AI Based Automatic Antenna Pattern Control Solution to Optimize 5G Network Coverage

ZTE Corporation announced that they have completed the trial of the Automatic Antenna Pattern Control (AAPC) self-optimization solution in Guangzhou, China. They worked on this solution with the Guangzhou branch of China Mobile

Employing seamless integration between AI technology and network structure optimization, this solution greatly simplifies the optimization and O&M of 5G Massive MIMO networks, thereby effectively improving the efficiency and reducing the costs. The trial results showed that network coverage increased by nearly 12%, signal strength increased by about 4-5 dB, signal-to-noise ratio increased by nearly 1-2 dB and the download rate rose by about 10%.

The solution is based on ZTE’s intelligent AAPC optimization tool, which uses an AI algorithm and the network management platform to quickly search and lock the optimal antenna parameters in complex scenarios. According to the MR (measurement report) data, the solution can accurately evaluate the quality of the network coverage. The solution also used the AI model to achieve iterative optimization, and the optimal matching between scenarios and antenna parameters, to create an end-to-end operational solution that can self-configure based on the requirement.

Moving forward, ZTE and China Mobile will further explore various complex scenarios and develop a larger-scale AI self-optimization system to accelerate the development of intelligent networks.

ZTE is a provider of advanced telecommunications systems, mobile devices, and enterprise technology solutions to consumers, operators, companies, and public sector customers. The company has been committed to providing customers with integrated end-to-end innovations to deliver excellence and value as the telecommunications and information technology sectors converge. 

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  • Country: Taiwan
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