Considering the Economy of Multimodal Energy in High-Power LTE Communications Electricity Usage Strategy

The high cost of electricity has become a key bottleneck restricting the upgrading of base station equipment and the expansion of network coverage due to the sharp increase in energy consumption caused by the large-scale deployment of scenarios such as high data transmission demands and large-scale Internet of Things access in power wireless private networks. To reduce the operating costs of base station clusters and improve the economic efficiency of power supply, a multimodal power consumption optimization method based on the coordination of wind, solar and energy storage under user interaction is proposed. First, based on the user interaction characteristics and multi-energy complementarity of the base station group, a dual-layer cellular network architecture of macro and micro base stations taking into account grid power purchase, wind power generation and photovoltaic power generation is constructed, and an optimization model including equipment operation constraints and energy interaction constraints is established; Secondly, analyze the key influencing factors of energy consumption through operational research methods, prove the existence of extreme values of the energy consumption function based on the Weier-strass optimization theorem, and solve the energy-saving optimization strategy of base stations under user group access using KKT conditions; Through spatio-temporal dynamic analysis, the coupling relationship between wind, solar, storage and power supply and grid power purchase was quantified, and a multimodal cost optimization scheme based on dynamic bandwidth allocation was proposed. The simulation results show that compared with the traditional single power supply mode and a typical existing optimization scheme, the proposed method can reduce the overall operating cost of the base station group by 35.94%, and show better economic performance in the user group interaction scenario.