Energy Harvesting Transmitters That Heat Up: Throughput Maximization Under Temperature Constraints
Energy Harvesting Transmitters That Heat Up: Throughput Maximization Under Temperature Constraints
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加热的能量收集发射器：温度限制下的吞吐量最大化
DOI：
10.1109/twc.2016.2558509
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发表时间：
2015
影响因子：
10.4
通讯作者：
P. Grover
中科院分区：
文献类型：
--
作者：
Omur Ozel;S. Ulukus;P. Grover
由于在传感器操作中加热的损害的动机，我们认为在能量收集发射机的吞吐量最佳离线数据调度问题，使得产生的温度保持在临界水平以下。我们建模的发射机的温度动态作为一个线性系统，并确定在这样的温度约束下的最佳发射功率的政策，以及能量收集的约束下的加性白色高斯噪声信道。我们首先推导出的结构特性的解决方案的一般情况下，多个能量到达。我们证明了最优功率策略是分段单调递减的，在能量收集时刻可能有跳跃。我们推导出解析表达式的最佳解决方案中的单能量到达的情况下。我们表明，在单能量到达的情况下，最佳功率是单调递减的，由此产生的温度是单调增加的，并且两者在温度达到临界水平后保持恒定。然后，我们推广的多能量到达的情况下的解决方案。
Motivated by the damage due to heating in sensor operation, we consider the throughput optimal offline data scheduling problem in an energy harvesting transmitter, such that the resulting temperature remains below a critical level. We model the temperature dynamics of the transmitter as a linear system and determine the optimal transmit power policy under such temperature constraints as well as energy harvesting constraints over an additive white Gaussian noise channel. We first derive the structural properties of the solution for the general case with multiple energy arrivals. We show that the optimal power policy is piecewise monotone decreasing with possible jumps at the energy harvesting instants. We derive analytical expressions for the optimal solution in the single energy arrival case. We show that, in the single energy arrival case, the optimal power is monotone decreasing, the resulting temperature is monotone increasing, and both remain constant after the temperature hits the critical level. We then generalize the solution for the multiple energy arrival case.