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    Recycling Cellular Energy for Self-Sustainable IoT Networks: A Spatiotemporal Study

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    Type
    Article
    Authors
    Benkhelifa, Fatma
    ElSawy, Hesham
    McCann, Julie A.
    Alouini, Mohamed-Slim cc
    KAUST Department
    Communication Theory Lab
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Electrical Engineering Program
    Date
    2020
    Online Publication Date
    2020-01-24
    Print Publication Date
    2020-04
    Permanent link to this record
    http://hdl.handle.net/10754/661150
    
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    Abstract
    This paper investigates the self-sustainability of an overlay Internet of Things (IoT) network that relies on harvesting energy from a downlink cellular network. Using stochastic geometry and queueing theory, we develop a spatiotemporal model to derive the steady state distribution of the number of packets in the buffers and energy levels in the batteries of IoT devices given that the IoT and cellular communications are allocated disjoint spectrum. Particularly, each IoT device is modelled via a two-dimensional discrete-time Markov Chain (DTMC) that jointly tracks the evolution of the data buffers and energy battery. In this context, stochastic geometry is used to derive the energy generation at the batteries and the packet transmission success probability from buffers taking into account the mutual interference from other active IoT devices. To this end, we show the Pareto-Frontiers of the sustainability region, which define the network parameters that ensure stable network operation and finite packet delay. Furthermore, the spatially averaged network performance, in terms of transmission success probability, average queueing delay, and average queue size are investigated. For self-sustainable networks, the results quantify the required buffer size and packet delay, which are crucial for the design of IoT devices and time critical IoT applications.
    Citation
    Benkhelifa, F., ElSawy, H., Mccann, J. A., & Alouini, M.-S. (2020). Recycling Cellular Energy for Self-Sustainable IoT Networks: A Spatiotemporal Study. IEEE Transactions on Wireless Communications, 19(4), 2699–2712. doi:10.1109/twc.2020.2967697
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Transactions on Wireless Communications
    DOI
    10.1109/TWC.2020.2967697
    Additional Links
    https://ieeexplore.ieee.org/document/8968738/
    https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8968738
    http://spiral.imperial.ac.uk/bitstream/10044/1/76842/8/FINAL%20VERSION.pdf
    ae974a485f413a2113503eed53cd6c53
    10.1109/TWC.2020.2967697
    Scopus Count
    Collections
    Articles; Electrical and Computer Engineering Program; Communication Theory Lab; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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