Energy Efficient Cooperative Strategy over LEO Satellite Internet of Things

We design an energy efficient cooperative strategy over LEO satellite IoT network. We construct a queueing model to describe UEs' data flow and formulate a long-term optimization problem. With Lyapunov optimization approach, we convert the problem into an instantaneous one that can be easily solved with real-time satellite channel states and queue backlog information. We then divide the instantaneous optimization problem into two parts: admission control and beamforming optimization, and solve them with liner programming and WMMSE method separately. The simulation results suggest that we may achieve varied trade-offs between energy efficiency and data traffic latency using a control parameter, which is compatible with the theoretical analysis.