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Keywords = secure full-duplex simultaneous wireless information and power transfer (FD-SWIPT)

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19 pages, 876 KiB  
Article
Security–Reliability Analysis of AF Full-Duplex Relay Networks Using Self-Energy Recycling and Deep Neural Networks
by Tan N. Nguyen, Bui Vu Minh, Dinh-Hieu Tran, Thanh-Lanh Le, Anh-Tu Le, Quang-Sang Nguyen and Byung Moo Lee
Sensors 2023, 23(17), 7618; https://doi.org/10.3390/s23177618 - 2 Sep 2023
Cited by 3 | Viewed by 1919
Abstract
This paper investigates the security–reliability of simultaneous wireless information and power transfer (SWIPT)-assisted amplify-and-forward (AF) full-duplex (FD) relay networks. In practice, an AF-FD relay harvests energy from the source (S) using the power-splitting (PS) protocol. We propose an analysis of the related reliability [...] Read more.
This paper investigates the security–reliability of simultaneous wireless information and power transfer (SWIPT)-assisted amplify-and-forward (AF) full-duplex (FD) relay networks. In practice, an AF-FD relay harvests energy from the source (S) using the power-splitting (PS) protocol. We propose an analysis of the related reliability and security by deriving closed-form formulas for outage probability (OP) and intercept probability (IP). The next contribution of this research is an asymptotic analysis of OP and IP, which was generated to obtain more insight into important system parameters. We validate the analytical formulas and analyze the impact on the key system parameters using Monte Carlo simulations. Finally, we propose a deep learning network (DNN) with minimal computation complexity and great accuracy for OP and IP predictions. The effects of the system’s primary parameters on OP and IP are examined and described, along with the numerical data. Full article
(This article belongs to the Section Sensor Networks)
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18 pages, 1658 KiB  
Article
Power Efficient Secure Full-Duplex SWIPT Using NOMA and D2D with Imperfect CSI
by Jingpu Wang, Xin Song, Yatao Ma and Zhigang Xie
Sensors 2020, 20(18), 5395; https://doi.org/10.3390/s20185395 - 21 Sep 2020
Cited by 7 | Viewed by 2577
Abstract
The secure full-duplex (FD) simultaneous wireless information and power transfer (SWIPT) system and non-orthogonal multiple access (NOMA) have been deemed two promising technologies for the next generation of wireless communication. In this paper, the network is combined with device-to-device (D2D) and a practical [...] Read more.
The secure full-duplex (FD) simultaneous wireless information and power transfer (SWIPT) system and non-orthogonal multiple access (NOMA) have been deemed two promising technologies for the next generation of wireless communication. In this paper, the network is combined with device-to-device (D2D) and a practical bounded channel state information (CSI) estimation scheme. A system total transmit power minimization problem is studied and formulated as a multi-objective optimization (MOO) problem via the weighted Tchebycheff approach. A set of linear matrix inequalities (LMI) is used to transform the non-convex form of constraints into the convex form. Considering the imperfect CSI of the potential eavesdropper for robust power allocation, a bounded transmission beamforming vector design along with artificial noise (AN) is used, while satisfying the requirements from the secrecy rates as well as the energy harvesting (EH) task. Numerical simulation results validate the convergence performance and the trade-off between the uplink (UL) and downlink (DL) data transmit power. It is also shown that by FD and NOMA, the performance of the proposed algorithm is higher than that of half-duplex (HD) and orthogonal multiple access (OMA). Full article
(This article belongs to the Section Sensor Networks)
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