Electricity allocation algorithm for shared base stations based on the energy consumption model of the power environment system

The efficient allocation of electricity has posed a formidable challenge for communication operators. This paper proposes an Electricity Allocation Algorithm (EAA) for shared base stations based on the power environment system’s energy consumption model. The EAA approach thoroughly analyzes factors influencing energy consumption and establishes a regression model for shared base stations using multiple linear regression. Parameters of the model are optimized through Quantum Behavior Particle Swarm Optimization (QPSO). Ultimately, a precise electricity allocation is achieved by calculating real-time energy consumption data from servers and other machines in different carrier base stations. Experimental results demonstrate the accuracy of this paper’s electricity allocation model for shared base stations. This study provides theoretical support for future applications of accurate electricity allocation in shared base stations.