Optimum Transmission Policies for Battery Limited Energy Harvesting Nodes
Optimum Transmission Policies for Battery Limited Energy Harvesting Nodes
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DOI：
10.1109/twc.2012.012412.110805
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发表时间：
2012-03-01
影响因子：
10.4
通讯作者：
Yener, Aylin
中科院分区：
文献类型：
--
作者：
Tutuncuoglu, Kaya;Yener, Aylin
带有能源收获电池节点的无线网络迅速成为延长寿命的未来无线网络的可行选择。对于他们在能源收集无线电设计方面的设计同样重要的是这种新的网络范式所要求的设计原理。特别是，与迄今为止考虑的无线网络不同，在设计有效的传输策略时，需要考虑到可充电电池的能源补充过程和可充电电池的存储限制。在这项工作中，考虑了可充电节点的这种传输策略，并确定了两个相关问题的最佳解决方案。具体而言，最大化短期吞吐量的传输策略，即找到有限时间范围内传输的数据量。另外，该优化问题与另一个问题的关系，即，证明了给定数量数据的传输完成时间的最小化，这也导致了后者的解决方案。最佳传输策略是在能源因果关系（即能源补充过程）以及能源存储（即电池容量）的约束下确定的。为了补充电池，考虑了具有离散能量到达的模型。得出了吞吐量 - 最佳分配满足的必要条件，然后给出了有关短期吞吐量和最小传输完成时间的最佳传输策略的算法。提出了数值结果以确认分析结果。
Wireless networks with energy harvesting battery equipped nodes are quickly emerging as a viable option for future wireless networks with extended lifetime. Equally important to their counterpart in the design of energy harvesting radios are the design principles that this new networking paradigm calls for. In particular, unlike wireless networks considered to date, the energy replenishment process and the storage constraints of the rechargeable batteries need to be taken into account in designing efficient transmission strategies. In this work, such transmission policies for rechargeable nodes are considered, and optimum solutions for two related problems are identified. Specifically, the transmission policy that maximizes the short term throughput, i.e., the amount of data transmitted in a finite time horizon is found. In addition, the relation of this optimization problem to another, namely, the minimization of the transmission completion time for a given amount of data is demonstrated, which leads to the solution of the latter as well. The optimum transmission policies are identified under the constraints on energy causality, i.e., energy replenishment process, as well as the energy storage, i.e., battery capacity. For battery replenishment, a model with discrete packets of energy arrivals is considered. The necessary conditions that the throughput-optimal allocation satisfies are derived, and then the algorithm that finds the optimal transmission policy with respect to the short-term throughput and the minimum transmission completion time is given. Numerical results are presented to confirm the analytical findings.