Research on Cloud-Edge-Terminal Network Architecture and Resource Optimization Methods for Aggregated Control of 5G Base Stations

With the transformation of the energy structure and the advancement of smart grids, flexible loads on the user side have been widely applied. As a new type of flexible load, 5G base stations participate in grid regulation by adjusting transmission power, energy storage systems, air conditioning management, and other methods. However, the existing network architecture and management mechanisms are unable to meet the needs of largescale 5 G base station clusters in grid regulation. To address this, this paper focuses on the aggregation and regulation of 5 G base stations. First, a cloud-edge-terminal collaborative communication networking architecture for 5 G base stations is proposed. Then, an improved task clustering algorithm for the edge-terminal layer is introduced to reduce communication transmission overhead. Next, a cloud-edge transmission overhead utility function is constructed, and the decision-making problem is solved using an improved particle swarm optimization algorithm. Finally, experimental results demonstrate the effectiveness of the proposed model.