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Throughput Maximization with an Energy Outage Constraint for Energy Harvesting Links

机译:通过能量收集链路的能量中断约束实现吞吐量最大化

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In energy harvesting networks, the randomness in arrival times and the amount of energy harvested, in addition to the fluctuations in the communication channel, pose a significant challenge in determining the optimal transmission policy. In this paper, we consider a single transmitter with finite battery capacity and a fading channel in a point-to-point wireless communication system where the harvested energy is stored and utilized for data transmission purposes. In this paper, we introduce the notion of energy outage probability - this allows us to develop simple and effective energy use policies while accounting for the energy harvesting random process. We formulate the rate maximization problem considering probabilistic online energy harvesting constraints. We present a technique to solve this non-convex optimization problem and devise the optimal power allocation solution in closed-form. We compare our proposed approach with the deterministic approaches available in literature to illustrate the loss in throughput due to availability of only probabilistic information about the incoming energy.
机译:在能量收集网络中,除了通信信道的波动之外,到达时间和收获量的随机性,在确定最佳传输策略时构成重大挑战。在本文中,我们考虑一个具有有限电池容量的单个发射器和在点对点无线通信系统中的衰落通道,其中收获的能量被存储并用于数据传输目的。在本文中,我们介绍了能源中断概率的概念 - 这使我们能够开发简单有效的能量使用政策,同时考虑随机过程的能量收集。考虑概率在线能量收集约束,我们制定率最大化问题。我们提出了一种解决该非凸优化问题的技术,并以闭合形式设计最佳功率分配解决方案。我们将所提出的方法与文学中的确定性方法进行比较,以说明由于仅有关于进入能源的概率信息的概率信息而导致吞吐量的损失。

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