The Realization Path of Energy Consumption Optimization of Artificial Intelligence in Mobile Communication Network
This paper discusses the realization path of energy consumption optimization of artificial intelligence technology in mobile communication network.By analyzing the collaborative optimization of deep learning,big data analysis,intelligent energy management system,edge computing and cloud computing technology,this paper reveals how to significantly reduce the energy consumption of mobile communication networks and improve network efficiency and stability by using technical means.Finally,it puts forward four specific implementation paths,namely,traffic forecasting and energy consumption optimization based on deep learning,comprehensive optimization integrating big data analysis and artificial intelligence technology,building an intelligent energy consumption management system and collaborative optimization using edge computing and cloud computing technology,and deeply analyzes the implementation process and technical advantages of each method.
artificial intelligencemobile communication networkenergy consumption optimizationmachine learningnetwork efficiency
万方数据
维普
