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Optimal Relaying in Energy Harvesting Wireless Networks With Wireless-Powered Relays

机译:具有无线动力继电器的能量收集无线网络的最佳中继

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摘要

In this paper, we consider a wireless cooperative network with an energyharvesting relay which is powered by the energy harvested from ambient RFwaves, such as that of a data packet. At any given time, the relay operateseither in the energy harvesting (EH) mode or the data decoding (DD) mode, butnot both. Separate energy and data buffers are kept at the relay to store theharvested energy and decoded data packets, respectively. In this paper, weoptimize a time switching policy that switches between the EH mode and DD modeto maximize the system throughput or minimize the average transmission delay.Both static and dynamic time switching policies are derived. In particular,static policies are the ones where EH or DD mode is selected with apre-determined probability. In contrast, in a dynamic policy, the mode isselected dynamically according to the states of data and energy buffers. Weprove that the throughput-optimal static and dynamic policies keep the relaydata buffer at the boundary of stability. More specifically, we show that thethroughput-optimal dynamic policy has a threshold-based structure. Moreover, weprove that the delay-optimal dynamic policy also has a threshold-basedstructure and keeps at most one packet at the relay. We notice that thedelay-optimal and throughput-optimal dynamic policies coincide in most cases.However, it is not true for optimal static policies. Finally, through extensivenumerical results, we show the efficiency of optimal dynamic policies comparedwith the static ones in different conditions.
机译:在本文中,我们考虑一种具有能量充气继电器的无线协作网络,其由从环境RFWVAVE收获的能量供电,例如数据分组。在任何给定的时间,中继操作在能量收集(EH)模式或数据解码(DD)模式中,均为两者。单独的能量和数据缓冲区保存在继电器处,以分别存储征收的能量和解码的数据包。在本文中,Weoptimize在EH模式和DD ModeTo之间切换的时间切换策略最大限度地提高系统吞吐量或最小化平均传输延迟。静态和动态时间切换策略是推导的。特别地,静态策略是选择EH或DD模式以APRE确定的概率选择的那些。相比之下,在动态策略中,模式根据数据和能量缓冲区的状态动态发行。 Weprove吞吐量 - 最佳静态和动态策略在稳定性边界处保持RelayData缓冲区。更具体地,我们表明,TheThourpult-Optal动态策略具有基于阈值的结构。此外,Weprove是延迟最佳动态策略还具有阈值的结构,并且在继电器处的大多数数据包保持在大多数分组。我们注意到,最佳和吞吐量最佳的动态政策在大多数情况下重合。然而,对于最佳静态策略,它不存在。最后,通过扩展的结果,我们展示了不同条件下静态的最佳动态政策的效率。

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