Design and Application of the Wireless Station Energy Saving System Based on AI Big Data
To address the challenges posed by high energy consumption and escalating electricity costs associated with the operation of 2G/3G/4G wireless base stations,this paper proposes a wireless RAN(Radio Access Network)base station energy-saving system based on AI big data technology.The design of this system aims to cater to various network scenarios and diverse equipment,achieving thorough analysis and optimization of the existing network configurations,along with intelligent deployment and optimization of energy-saving functionalities.Additionally,it involves modeling the current network sites to identify optimal threshold values.Subsequently,through continuous optimization iterations driven by AI big data,the system progressively enhances energy-saving benefits and augments system stability.By continuously optimizing the energy-saving functionalities of wireless base stations while meeting user service demands,the system significantly reduces device power consumption,thereby substantially decreasing energy-saving expenditures for operators.Experimental validation results demonstrate that this system considerably increases energy-saving duration at practical network sites,achieving a nearly 12%reduction in power consumption,a notable advancement over other energy-saving systems.
wireless base stationAI big datauser experienceintelligent energy saving system
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