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Chinese MNOs Deploy Huawei MetaAAU to Improve Energy Efficiency for 5G

MetaAAU Deployed in live 5G network of China Unicom Beijing MetaAAU Deployed in live 5G network of China Unicom Beijing Image Credit: Huawei

Shortly after its launch, three Chinese operators have already deployed Huawei MetaAAU, a comprehensive 5G solution in Beijing, Hangzhou, Shanghai, and Xiamen. 

Released in October this year, Huawei claims that the 64T64R MetaAAU is the ideal solution to improve both network performance and energy efficiency using innovative hardware and software. For hardware, MetaAAU introduces the extremely large antenna array (ELAA) which enables 384 antenna elements, double that of a conventional AAU. ELAA is combined with ultra-light integrated array and signal direct injection feeding (SDIF) to improve both coverage and integration. 

For software, MetaAAU utilizes the Adaptive High Resolution (AHR) Turbo algorithm to enable precise, dynamic, and targeted beamforming, significantly improving user experience and cell capacity. This hardware/software combo marks a new breakthrough in Massive MIMO coverage and energy efficiency.

In comparison with conventional 64T64R AAU and 32T32R AAU, MetaAAU improves coverage by 3 dB and 6 dB and user experience metrics by 30% and 60%, respectively. For example, in one of its flagship projects — 5G Capital that brings 5G to every corner of Beijing — China Unicom Beijing is using MetaAAU to add 30% in both uplink and downlink coverage along with 25% better experience among cell edge users.

MetaAAU is also a powerful energy-saving tool. It allows base stations to achieve the same level of coverage for cell edge users but with a lower transmit power, reducing energy consumption by approximately 30% over conventional AAUs. This has also been tested in the 5G Capital project.

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Author

Ray is a news editor at The Fast Mode, bringing with him more than 10 years of experience in the wireless industry.

For tips and feedback, email Ray at ray.sharma(at)thefastmode.com, or reach him on LinkedIn @raysharma10, Facebook @1RaySharma

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