Energy Efficient Cooperative Strategy over LEO Satellite Internet of Things

Kaiwei Wang, Shuo Wang
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Abstract

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.
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基于低轨道卫星物联网的节能合作策略
设计了一种低轨道卫星物联网节能协同策略。我们构建了一个排队模型来描述ue的数据流,并制定了一个长期优化问题。利用Lyapunov优化方法,将该问题转化为一个瞬时问题,利用实时卫星信道状态和队列积压信息可以很容易地解决该问题。然后将瞬时优化问题分为接纳控制和波束形成优化两部分,分别用线性规划和WMMSE方法进行求解。仿真结果表明,我们可以使用一个控制参数来实现能源效率和数据流量延迟之间的各种权衡,这与理论分析是一致的。
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