Carbon emission optimization in renewable powered cellular networks based on stochastic geometric distribution
With the increasing number of users and communication data in wireless communication systems,the energy consumption of these systems is also growing rapidly.To achieve sustainability and meet the goals of green communication,the integration of renewable energy with grid energy and the adoption of multi-source power supply for cellular communication systems have become promising solutions.This paper aims to address the solar energy production in real-world scenarios by leveraging stochastic geometric theory to establish an accurate model for base station energy consumption and new energy harvesting.Furthermore,a heuristic inter-base station new energy scheduling algorithm based on non-equilibrium optimal transportation is proposed to enhance new energy utilization and reduce network carbon emissions.The algorithm effectively reduces the reliance of communication systems on grid energy,providing valuable insights for energy-efficient and emission-reducing exploration in new energy mobile communication stations.
cellular networksrenewable energy sourcesstochastic processesunbalanced optimal transportcooperative energy sharing
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