Business load based phased array antenna dynamic energy efficiency control method

By dynamically adjusting the array element resource configuration of the phased array antenna and combining the dual-index feedback of energy efficiency ratio and beam gain loss, the energy efficiency problem of the phased array antenna under load changes is solved, achieving a balance between energy efficiency and coverage performance and extended component life under different load conditions.

CN122268433APending Publication Date: 2026-06-23SHANGHAI JINGJI COMM TECH CO LTD

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
SHANGHAI JINGJI COMM TECH CO LTD
Filing Date
2026-03-31
Publication Date
2026-06-23

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Abstract

This application relates to a dynamic energy efficiency control method for phased array antennas based on service load. The method includes: acquiring service load parameters of the phased array antenna; obtaining a load coefficient by weighted summation of the ratio of the actual number of users to the maximum number of users and the ratio of the actual data transmission rate to the maximum data transmission rate, and determining the load level based on a comparison of the load coefficient with a preset grading threshold; executing a corresponding array element scheduling strategy according to the load level to obtain activated array elements, wherein all array elements are activated under high load, array elements contributing less than the threshold are shut down and phase compensation is performed under medium load, and the core array element group is activated and enters intermittent scanning mode under low load; acquiring the total power consumption and periodically calculating the energy efficiency ratio and beam gain loss, and adjusting the number of activated array elements based on the energy efficiency ratio and gain loss. This application achieves a balance between energy efficiency and coverage performance under different load conditions by scheduling array element resources on demand and optimizing configuration in a closed loop.
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