Throughput Maximization for the Wireless Powered Communication in Green Cities
Throughput Maximization for the Wireless Powered Communication in Green Cities
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DOI：
10.1109/tii.2018.2821160
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发表时间：
2018-03
影响因子：
12.3
通讯作者：
Feng Shan;Junzhou Luo;Weiwei Wu;Fang Dong;Xiaojun Shen
中科院分区：
文献类型：
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作者：
Feng Shan;Junzhou Luo;Weiwei Wu;Fang Dong;Xiaojun Shen
无线功率转移（WPT）是一种最近开发的技术，可以完美解决智能城市传感器的能量问题，这些传感器在无线电供电的无线通信系统中易于有线电源。何时传输数据以及应使用什么传输速率，以使数据与现有作品不同，我们假设无线传递的功率正在动态变化，而不是恒定，这在绿色的智能城市应用中更为现实，例如工业4.0 4.0工作室，智能建筑物，环境不断变化，因此无关紧要。本文，我们为脱机情况提供了最佳的调度算法，其中有不同的WPT是根据从脱机情况中学到的最佳原理，我们设计了有效的在线算法。
Wireless power transfer (WPT) is a recently developed technique to perfectly address the energy problem for smart city sensors that do not have a readily wired power supply. In a radio-frequency-powered wireless communication system, sensors first harvest energy via the radio-frequency WPT, and then, transmit sensed data to the receiver. The “harvest-then-transmit” protocol is used to coordinate the two operations, in which we wish to optimally decide when to harvest energy, when to transmit data, and what transmission rate should be used such that the data are maximally transmitted. Unlike existing works, we assumed that the wireless transferred power is dynamically changing, instead of being constant, which is more realistic in green smart city applications, e.g., Industry 4.0 workshop, smart transportation, and smart buildings, where environments are continuously changing, so the wireless transferred power is affected dynamically. In this paper, we present an optimal scheduling algorithm for the offline case where the varying WPT is known in advance. Based on the optimal principles learned from the offline case, we have designed an efficient online algorithm. Finally, we report our simulation results that demonstrate that our online scheduling algorithm can adaptively and efficiently achieve high data throughput.