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Impact of channel estimation-and-artificial noise cancellation imperfection on artificial noise-aided energy harvesting overlay networks

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Abstract

EHONs (Energy Harvesting Overlay Networks) satisfy stringent design requirements such as high energy-and-spectrum utilization efficiencies. However, due to open access nature of these networks, eavesdroppers can emulate cognitive radios to wire-tap legitimate information, inducing information security to become a great concern. In order to protect legitimate information against eavesdroppers, this paper generates artificial noise transmitted simultaneously with legitimate information to interfere eavesdroppers. Nonetheless, artificial noise cannot be perfectly suppressed at legitimate receivers as for its primary purpose of interfering only eavesdroppers. Moreover, channel information used for signal detection is hardly estimated at receivers with absolute accuracy. As such, to quickly evaluate impact of channel estimation-and-artificial noise cancellation imperfection on secrecy performance of secondary/primary communication in ANaEHONs (Artificial Noise-aided EHONs), this paper firstly proposes precise closed-form formulas of primary/secondary SOP (Secrecy Outage Probability). Then, computer simulations are provided to corroborate these formulas. Finally, various results are illustrated to shed insights into secrecy performance of ANaEHON with key system parameters from which optimum parameters are recognized. Notably, secondary/primary communication can be secured at different levels by flexibly adjusting various parameters of the proposed system model.

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Notes

  1. [24] investigated the same system model as [14] and [15]. Nonetheless, the energy source which the secondary transmitter scavenges is not RF signals, significantly simplifying the analysis in [24]. Furthermore, [24] ignored artificial noise. Consequently, references such as [24] are not related works for survey.

  2. Decoding with infinitesimal power is assumed. This assumption is popularized in previous publications (e.g., [16, 27,28,29]).

  3. In [16], Stage II allows ST to always relay primary data, leading to error propagation for primary data. Nonetheless, the secondary/primary SOP analysis was dissembled in [16]. Consequently, error propagation was not considered in the SOP analysis.

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Acknowledgements

This research is funded by Vietnam National University HoChiMinh City (VNU-HCM) under Grant Number B2021-20-01. We would like to thank Ho Chi Minh City University of Technology (HCMUT), VNU-HCM for the support of time and facilities for this study.

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Authors and Affiliations

  1. Ho Chi Minh City University of Technology (HCMUT), 268 Ly Thuong Kiet Street, District 10, Ho Chi Minh City, Vietnam

    Khuong Ho-Van & Thiem Do-Dac

  2. Vietnam National University Ho Chi Minh City, Linh Trung Ward, Thu Duc District, Ho Chi Minh City, Vietnam

    Khuong Ho-Van & Thiem Do-Dac

  3. Thu Dau Mot University, 6 Tran Van On Street, Phu Hoa Ward, Thu Dau Mot City, Binh Duong Province, Vietnam

    Thiem Do-Dac

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  1. Khuong Ho-Van
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Correspondence to Thiem Do-Dac.

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Ho-Van, K., Do-Dac, T. Impact of channel estimation-and-artificial noise cancellation imperfection on artificial noise-aided energy harvesting overlay networks. Telecommun Syst 78, 273–292 (2021). https://doi.org/10.1007/s11235-021-00808-8

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