Joint Energy and SINR Coverage in Spatially Clustered RF-Powered IoT Network
Joint Energy and SINR Coverage in Spatially Clustered RF-Powered IoT Network
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DOI：
10.1109/tgcn.2018.2881480
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发表时间：
2019-03-01
影响因子：
4.8
通讯作者：
Dhillon, Harpreet S.
中科院分区：
文献类型：
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作者：
Abd-Elmagid, Mohamed A.;Kishk, Mustafa A.;Dhillon, Harpreet S.
由于射频（RF）信号的无处不在，RF能量收集正在成为为物联网（IoT）设备供电的有吸引力的解决方案。在本文中，我们对一个物联网网络进行了建模和分析，该网络从同一个无线网络中收集RF能量并接收信息。为了实现该操作，每个时隙被划分为计费和信息接收阶段。对于这种设置，我们描述了两个性能指标：1）能量覆盖和2）联合信号干扰加噪声和能量覆盖。分析是使用一个现实的空间模型来执行的，该模型捕获了物联网设备的位置与无线网络的节点（以下称为物联网网关）之间的空间耦合，这在文献中经常被忽略。特别是，我们使用泊松集群过程对物联网设备的位置进行建模，并假设其中一些集群在其中心部署了物联网网关（GW），而其他GW独立于物联网设备部署。耦合水平可以通过调整部署在集群中心的总GW的比例来控制。由于固有的棘手性计算散粒噪声过程的分布，这种设置，我们提出了两个准确的近似，使用上述指标的特点。从我们的结果中得出了多个系统设计见解。例如，我们证明了最佳时隙划分，最大限度地提高系统吞吐量的存在。此外，我们探讨了物联网设备和GW的位置之间的耦合水平对这种最佳时隙划分的影响。特别是，我们的研究结果表明，充电阶段的持续时间的最佳值增加耦合的水平降低。
Owing to the ubiquitous availability of radio-frequency (RF) signals, RF energy harvesting is emerging as an appealing solution for powering Internet-of-Things (IoT) devices. In this paper, we model and analyze an IoT network which harvests RF energy and receives information from the same wireless network. In order to enable this operation, each time slot is partitioned into charging and information reception phases. For this setup, we characterize two performance metrics: 1) energy coverage and 2) joint signal-to-interference-plus-noise and energy coverage. The analysis is performed using a realistic spatial model that captures the spatial coupling between the locations of the IoT devices and the nodes of the wireless network (referred, henceforth, as the IoT gateways), which is often ignored in the literature. In particular, we model the locations of the IoT devices using a Poisson cluster process and assume that some of the clusters have IoT gateways (GWs) deployed at their centers while the other GWs are deployed independently of the IoT devices. The level of coupling can be controlled by tuning the fraction of total GWs that are deployed at the cluster centers. Due to the inherent intractability of computing the distribution of shot noise process for this setup, we propose two accurate approximations, using which the aforementioned metrics are characterized. Multiple system design insights are drawn from our results. For instance, we demonstrate the existence of optimal slot partitioning that maximizes the system throughput. In addition, we explore the effect of the level of coupling between the locations of the IoT devices and the GWs on this optimal slot partitioning. Particularly, our results reveal that the optimal value of time duration for the charging phase increases as the level of coupling decreases.