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Owing to the ubiquitous availability of radio-frequency (RF) signals, RFenergy harvesting is emerging as an appealing solution for powering IoTdevices. In this paper, we model and analyze an IoT network which harvests RFenergy and receives information from the same wireless network. In order toenable this operation, each time slot is partitioned into charging andinformation reception phases. For this setup, we characterize two performancemetrics: (i) energy coverage and (ii) joint signal-to-interference-plus-noise(SINR) and energy coverage. The analysis is performed using a realistic spatialmodel that captures the spatial coupling between the locations of the IoTdevices and the nodes of the wireless network (referred henceforth as the IoTgateways), which is often ignored in the literature. In particular, we modelthe locations of the IoT devices using a Poisson cluster process (PCP) andassume that some of the clusters have IoT gateways (GWs) deployed at theircenters while the other GWs are deployed independently of the IoT devices. Thelevel of coupling can be controlled by tuning the fraction of total GWs thatare deployed at the cluster centers. Due to the inherent intractability ofcomputing the distribution of shot noise process for this setup, we propose twoaccurate approximations, using which the aforementioned metrics arecharacterized. Multiple system design insights are drawn from our results. Forinstance, we demonstrate the existence of optimal slot partitioning thatmaximizes the system throughput. In addition, we explore the effect of thelevel of coupling between the locations of the IoT devices and the GWs on thisoptimal slot partitioning. Particularly, our results reveal that the optimalvalue of time duration for the charging phase increases as the level ofcoupling decreases.

Joint Energy and SINR Coverage in Spatially Clustered RF-powered IoT Network