Abstract:In this paper, the optimization of downlink beamforming vectors, uplink transmission power, and power-splitting factors is investigated for a secure two-way SWIPT network in the presence of a hidden eavesdropper and non-linear energy harvesting circuits over both perfect and imperfect channels. The eavesdropper is inactive, so its channel information is not available at the base stations (BSs). The purpose of artificial noise is to create downlink interference with the hidden eavesdropper as much as possible, … Show more
“…So, problem ( 24) is still non-convex. Therefore, we use the penalty method to solve the rank-1 problem, as mentioned in [48], [49]. We know that all eigenvalues of Q are non-negative, since Q is a PSD matrix.…”
Section: The Proposed Ao-based Scheme For the Secure Transmission Pro...mentioning
confidence: 99%
“…Regarding non-convex function (−λ max (Q)), we observe that λ max (•) is a convex function [49]. Therefore, we can approximate the λ max (•) function in an iterative manner.…”
Section: The Proposed Ao-based Scheme For the Secure Transmission Pro...mentioning
Recently, the demand for spectral and energy efficiency has significantly been increased along with new breakthroughs in programmable meta-material techniques. The integration of an intelligent reflecting surface (IRS) into simultaneous wireless information and power transfer (SWIPT) systems has attracted much attention from operators in advanced wireless communication networks (WCNs) such as fifth-generation (5G) and sixth-generation (6G) networks. In addition, an IRS-assisted SWIPT system faces many security risks that can easily be compromised by eavesdroppers. In this paper, we investigate the physical-layer secure and transmission optimization problem in an IRS-assisted SWIPT system where a power-splitting (PS) scheme is installed in the user equipment (UE). In particular, our purpose is to maximize the system secrecy rate by jointly finding optimal solutions for transmitter power, PS factor of UE, and phase shifts matrix of IRS under the required minimum harvested energy and maximum transmitter power. We propose the alternating optimization (AO)-based scheme to obtain optimal solutions. The proposed AO-based scheme can effectively solve both convex and non-convex problems; however, applying them in practice still poses some difficulties due to the complexity and long computation time. This is because many mathematical transformations are used and the optimal solution needs a number of iterations to achieve convergence. Therefore, we also propose 5 types of data and DNN structures to potentially achieve efficiency in computations by using a deep learning (DL)-based approach. The simulation results indicate that the proposed IRS scheme provides an improvement in terms of the average secrecy rate (ASR) by up to 38.91% when the number of reflecting elements is high (30 elements) compared to a scheme without an IRS. We also observe that the DL-based approach not only provides similar performance to the AO-based scheme but it also significantly reduces computation time.
“…So, problem ( 24) is still non-convex. Therefore, we use the penalty method to solve the rank-1 problem, as mentioned in [48], [49]. We know that all eigenvalues of Q are non-negative, since Q is a PSD matrix.…”
Section: The Proposed Ao-based Scheme For the Secure Transmission Pro...mentioning
confidence: 99%
“…Regarding non-convex function (−λ max (Q)), we observe that λ max (•) is a convex function [49]. Therefore, we can approximate the λ max (•) function in an iterative manner.…”
Section: The Proposed Ao-based Scheme For the Secure Transmission Pro...mentioning
Recently, the demand for spectral and energy efficiency has significantly been increased along with new breakthroughs in programmable meta-material techniques. The integration of an intelligent reflecting surface (IRS) into simultaneous wireless information and power transfer (SWIPT) systems has attracted much attention from operators in advanced wireless communication networks (WCNs) such as fifth-generation (5G) and sixth-generation (6G) networks. In addition, an IRS-assisted SWIPT system faces many security risks that can easily be compromised by eavesdroppers. In this paper, we investigate the physical-layer secure and transmission optimization problem in an IRS-assisted SWIPT system where a power-splitting (PS) scheme is installed in the user equipment (UE). In particular, our purpose is to maximize the system secrecy rate by jointly finding optimal solutions for transmitter power, PS factor of UE, and phase shifts matrix of IRS under the required minimum harvested energy and maximum transmitter power. We propose the alternating optimization (AO)-based scheme to obtain optimal solutions. The proposed AO-based scheme can effectively solve both convex and non-convex problems; however, applying them in practice still poses some difficulties due to the complexity and long computation time. This is because many mathematical transformations are used and the optimal solution needs a number of iterations to achieve convergence. Therefore, we also propose 5 types of data and DNN structures to potentially achieve efficiency in computations by using a deep learning (DL)-based approach. The simulation results indicate that the proposed IRS scheme provides an improvement in terms of the average secrecy rate (ASR) by up to 38.91% when the number of reflecting elements is high (30 elements) compared to a scheme without an IRS. We also observe that the DL-based approach not only provides similar performance to the AO-based scheme but it also significantly reduces computation time.
“…The performance of multihop communications was studied extensively in [ 33 , 34 , 35 , 36 , 37 , 38 , 39 ]. Alnawafa and other authors in [ 34 ] proposed a novel routing algorithm that dramatically improves the lifespan, stability, and throughput of the networks compared with the state-of-the-art.…”
Section: Introductionmentioning
confidence: 99%
“…However, they simply considered multihop networks not combining with other advanced techniques such as NOMA and/or full-duplex relaying. Authors in [ 37 ] also investigated the secrecy performance of nonlinear SWIPT systems. They, nonetheless, focus on minimizing the total transmission in downlink and uplink power consumption instead of deriving the OP and system throughput.…”
Outage probability (OP) and potential throughput (PT) of multihop full-duplex (FD) nonorthogonal multiple access (NOMA) systems are addressed in the present paper. More precisely, two metrics are derived in the closed-form expressions under the impact of both imperfect successive interference cancellation (SIC) and imperfect self-interference cancellation. Moreover, to model short transmission distance from the transmit and receive antennae at relays, the near-field path-loss is taken into consideration. Additionally, the impact of the total transmit power on the performance of these metrics is rigorously derived. Furthermore, the mathematical framework of the baseline systems is provided too. Computer-based simulations via the Monte Carlo method are given to verify the accuracy of the proposed framework, confirm our findings, and highlight the benefits of the proposed systems compared with the baseline one.
“…• The simulation results are executed to validate the exact of our theory analysis. This simulation method is used effectively and widely in many studies [13]- [19] A. Organization In Section II, a description of the system model is presented.…”
An investigation of short-packet communications (SPCs) of a single hop system where there is a presence of co-channel interference at destination. The average block error rate (BLER) of the destination is derived in accurate as well as asymptotic closed-form expressions. The affects of some parameters like: the number of interference sources, the transmit power of the interference source on the system performance and the number of channel uses at the destination are considered. The results of the theory are evaluated by Monte Carlo simulation.
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