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首页> 外文期刊>IEEE Transactions on Green Communications and Networking >Optimal Relaying in Energy Harvesting Wireless Networks With Wireless-Powered Relays
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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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In this paper, we consider a wireless cooperative network with a wireless-powered energy harvesting (EH) relay. The relay employs a time switching (TS) policy that switches between the EH and data decoding (DD) modes. Both energy and data buffers are kept at the relay to store the harvested energy and decoded data packets, respectively. In this paper, we derive static and dynamic TS policies that maximize the system throughput or minimize the average transmission delay. In particular, in the static policies, the EH or DD mode is selected with a pre-determined probability. In contrast, in a dynamic policy, the mode is selected dynamically according to the states of data and energy buffers. We prove that the throughput-optimal static and dynamic policies keep the relay data buffer at the boundary of stability. More specifically, we show that the throughput-optimal dynamic policy has a threshold-based structure. Moreover, we prove that the delay-optimal dynamic policy is threshold-based and keeps at most one packet at the relay. We notice that unlike the static case, the delay-optimal and throughput-optimal dynamic policies coincide in most cases. Finally, through extensive numerical results, we demonstrate the efficiency of the optimal dynamic policies compared with the static ones.
机译:在本文中,我们考虑一种具有无线供电的能量收集(EH)继电器的无线协作网络。继电器采用时间切换(TS)策略,可在EH和数据解码(DD)模式之间切换。能量和数据缓冲区都保持在继电器,以分别存储收获的能量和解码数据包。在本文中,我们推出了静态和动态TS策略,可以最大限度地提高系统吞吐量或最小化平均传输延迟。特别地,在静态策略中,选择具有预先确定的概率的EH或DD模式。相比之下,在动态策略中,根据数据和能量缓冲区的状态动态选择模式。我们证明吞吐量最佳静态和动态策略在稳定性边界处保持继电器数据缓冲区。更具体地说,我们表明吞吐量最佳动态策略具有基于阈值的结构。此外,我们证明了延迟最佳动态策略是基于阈值的,并且在继电器处保持最多的一个数据包。我们注意到与静态案例不同,在大多数情况下,延迟最佳和吞吐量最佳动态政策一致。最后,通过广泛的数值结果,我们展示与静态相比最佳动态政策的效率。

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