Energy-Efficient Communication Based on Multi-RIS and Sleep Strategy in Electric IoT

Electric Internet of Things (EIoT), as a product of the fusion of energy and information, applies the ubiquitous Internet of Things to the power industry. The construction and improvement of EIoT is inseparable from artificial intelligence, cloud computing, and advanced communication technology. With the proliferation of base stations and users, connectivity challenges and resource shortages have become significant. Reconfigurable intelligent surfaces (RIS) have become one of the most promising technologies for global digitization. To solve the problem of green communication, the base station sleep technology plays an important role. This paper discusses the combination of RIS and dormancy technology to achieve the optimization goal of maximum energy efficiency. We propose an iterative algorithm combining Dinkbach and distributed Alternating direction method of Multipliers (ADMM) to optimize the beamforming vector and base station switching integer variables. Simulation results show that this algorithm can effectively improve energy efficiency and realize energy saving.