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Secrecy Limits of Energy Harvesting IoT Networks under Channel Imperfections

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Document pages: 9 pages

Abstract: Simultaneous wireless information and power transfer (SWIPT) has recentlygathered much research interest from both academia and industry as a keyenabler of energy harvesting Internet-of-things (IoT) networks. Due to a numberof growing use cases of such networks, it is important to study theirperformance limits from the perspective of physical layer security (PLS). Withthis intent, this work aims to provide a novel analysis of the ergodic secrecycapacity of a SWIPT system is provided for Rician and Nakagami-m fadedcommunication links. For a realistic evaluation of the system, theimperfections of channel estimations for different receiver designs of theSWIPT-based IoT systems have been taken into account. Subsequently, theclosedform expressions of the ergodic secrecy capacities for the consideredscenario are provided and, then, validated through extensive simulations. Theresults indicate that an error ceiling appears due to imperfect channelestimation at high values of signal-to-noise ratio (SNR). More importantly, thesecrecy capacity under different channel conditions stops increasing beyond acertain limit, despite an increase of the main link SNR. The in-depth analysisof secrecy-energy trade-off has also been performed and a comparison has beenprovided for imperfect and perfect channel estimation cases. As part of thecontinuous evolution of IoT networks, the results provided in this work canhelp in identifying the secrecy limits of IoT networks in the presence ofmultiple eavesdroppers.

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