Energy Management Model of Large-scale 5G Macro Base Station Network Considering the Coordinated Optimization of Communication Equipment and Standard Equipment

Abstract

Energy management of 5G base station (BS) is an important technology toward green communication and carbon neutrality. However, the existing 5G BS network energy management model mainly focuses on the energy-saving issues of network communication equipment, without considering the coordination between the communication equipment and the large amount of standard equipment in the network. To this end, an energy management model for the coordination and optimization of 5G base station network communication and standard equipment is established. The proposed model is a mixed integer linear optimization problem (MILP). To deal with the large number of 0/1 variables caused by the number of network users and devices in the model, this paper proposes a geographical location-based user clustering method and model-improved Benders decomposition algorithm to solve the coordinated optimization model of the communication and the standard equipment in large-scale 5G network. The effectiveness of the proposed model and algorithm is verified by simulation examples, which can be applied to the energy management of 5G base station network in large-scale multiple residential and commercial areas.