Abstract: Effectively improving the wireless communication network energy efficiency, reducing energy costs, and improving the quality of communication services has always been an important research topic in the field of communication. The base station sleep technology is used to close the low load or the idle state of the base station combining with energy collection technology to collect clean energy for the use of base stations and other systems. Through the system energy collaboration to reduce energy waste, the collaborative model is in a constraint optimization problem. A dynamic weight constraint optimization algorithm is used to solve the model. Experiments show that our proposed system model can effectively reduce the network energy consumption and improve the communication rate.

Key words: energy cooperation, base station sleeping technology, energy harvesting