Energy Harvesting Two-Way Channels With Decoding and Processing Costs
Energy Harvesting Two-Way Channels With Decoding and Processing Costs
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DOI：
10.1109/tgcn.2016.2603588
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发表时间：
2017-03
影响因子：
4.8
通讯作者：
A. Arafa;Abdulrahman Baknina;S. Ulukus
中科院分区：
文献类型：
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作者：
A. Arafa;Abdulrahman Baknina;S. Ulukus
我们研究了能量收集双向信道中解码和处理成本的影响。我们设计的最佳离线功率调度策略，最大限度地提高总吞吐量在给定的截止日期，受能源因果关系约束，解码因果关系约束，并在两个用户的处理成本。在该系统中，每个用户花费能量来向另一个用户发送数据，并且还解码来自另一个用户的数据;也就是说，每个用户将其收集的能量划分用于发送和接收。此外，只要每个用户进行通信，它就产生每单位时间的处理成本。解码输入数据所需的功率被建模为输入数据速率的递增凸函数;并且需要开启的功率，即，处理成本被建模为每单位时间的常数。我们通过首先考虑仅解码成本和仅单独处理成本的情况来解决这个问题。在每种情况下，我们解决了单一能量到达的情况下，然后使用解决方案的见解，以提供一个迭代算法，解决多个能量到达的情况。然后，我们考虑在单个设置中具有解码和处理成本的一般情况，并解决多个能量到达的最一般情况。
We study the effects of decoding and processing costs in an energy harvesting two-way channel. We design the optimal offline power scheduling policies that maximize the sum throughput by a given deadline, subject to energy causality constraints, decoding causality constraints, and processing costs at both users. In this system, each user spends energy to transmit data to the other user, and also to decode data coming from the other user; that is, each user divides its harvested energy for transmission and reception. Further, each user incurs a processing cost per unit time as long as it communicates. The power needed for decoding the incoming data is modeled as an increasing convex function of the incoming data rate; and the power needed to be on, i.e., the processing cost, is modeled to be a constant per unit time. We solve this problem by first considering the cases with decoding costs only and processing costs only individually. In each case, we solve the single energy arrival scenario, and then use the solution’s insights to provide an iterative algorithm that solves the multiple energy arrivals scenario. Then, we consider the general case with both decoding and processing costs in a single setting, and solve it for the most general scenario of multiple energy arrivals.