Artificial noise aided directional modulation via reconfigurable intelligent surface: Secrecy guarantee in range domain

Chen, Jiangong; Xiao, Yao; Lei, Xia; Niu, Hong; Yuan, Yanli

doi:10.1049/cmu2.12414

Cited by 7 publications

(16 citation statements)

References 56 publications

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“…Optimization Problem (26) became a nonlinear fractional optimization problem. On the basis of the FP strategy in [43], we introduce parameter τ and transform Objective Function (28) as follows:…”

Section: Optimizing ψ Given V and φmentioning

confidence: 99%

“…To investigate the effect of receiver beamforming on performance improvement on the basis of the system model of [26], the authors in [27] proposed two optimization algorithms to maximize the receiver power sum by jointly optimizing the PSM at IRS and receiver beamforming vectors at the user. In [28], aiming to maximize the SR of an IRS-assisted multiple-input single-output (MISO) DM network, the semi-definite relaxation method was utilized to derive the precoding and IRS PSM when the location information of an eavesdropper is available. Thanks to a combination with IRS, SR performance was significantly boosted.…”

Section: Introductionmentioning

confidence: 99%

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Joint Beamforming and Phase Shift Design for Hybrid IRS and UAV-Aided Directional Modulation Networks

Rongen

Shu

et al. 2023

Drones

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Recently, intelligent reflecting surfaces (IRSs) and unmanned aerial vehicles (UAVs) have been integrated into wireless communication systems to enhance the performance of air–ground transmission. To balance performance, cost, and power consumption well, a hybrid IRS and UAV-assisted directional modulation (DM) network is investigated in this paper in which the hybrid IRS consisted of passive and active reflecting elements. We aimed to maximize the achievable rate by jointly designing the beamforming and phase shift matrix (PSM) of the hybrid IRS subject to the power and unit-modulus constraints of passive IRS phase shifts. To solve the non-convex optimization problem, a high-performance scheme based on successive convex approximation and fractional programming (FP) called the maximal signal-to-noise ratio (SNR)-FP (Max-SNR-FP) is proposed. Given its high complexity, we propose a low-complexity maximal SNR-equal amplitude reflecting (EAR) (Max-SNR-EAR) scheme based on the maximal signal-to-leakage-noise ratio method, and the criteria of phase alignment and EAR. Given that the active and passive IRS phase shift matrices of both schemes are optimized separately, to investigate the effect of jointly optimizing them to improve the achievable rate, a maximal SNR majorization-minimization (MM) (Max-SNR-MM) scheme using the MM criterion to design the IRS PSM is proposed. Simulation results show that the rates harvested by the three proposed methods were slightly lower than those of the active IRS with higher power consumption, which were 35% higher than those of no IRS and random phase IRS, while passive IRS achieved only about a 17% rate gain over the latter. Moreover, compared with the Max-SNR-FP, the proposed Max-SNR-EAR and Max-SNR-MM methods caused obvious complexity degradation at the price of slight performance loss.

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Section: Optimizing ψ Given V and φmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Joint Beamforming and Phase Shift Design for Hybrid IRS and UAV-Aided Directional Modulation Networks

Rongen

Shu

et al. 2023

Drones

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“…1: Initialize feasible solutions β (0) , l (0) , v (0) , and Ψ (0) , calculate the secrecy rate R Given l (k) , v (k) , and Ψ (k) , solve (24) to yield β (k+1) .…”

Section: Algorithm 1 Proposed Max-sr-fp Algorithmmentioning

confidence: 99%

“…Based on the system model of [22], in [23], to enhance the SR performance, two low-complexity algorithms were proposed to jointly design the active and passive beamforming vectors of the IRS-assisted DM network. Moreover, a scenario in which Bob and Eve with the same direct-path and different reflectpath was considered in [24], and the genetic algorithm and alternating optimisation criterion were employed to solve the maximum SR non-convex problem when the Eve's location information was available. The above works showed that the passive IRS can boost the SR performance of the conventional DM network.…”

Section: Introductionmentioning

confidence: 99%

Low-Complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS

Rongen

Jiang

Hua

et al. 2022

IEEE Open J. Commun. Soc.

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Intelligent reflecting surface (IRS) is a revolutionary and low-cost technology for boosting the spectrum and energy efficiencies in future wireless communication network. In order to create controllable multipath transmission in the conventional line-of-sight (LOS) wireless communication environment, an IRSaided directional modulation (DM) network is considered. In this paper, to improve the transmission security of the system and maximize the receive power sum (Max-RPS), two alternately optimizing schemes of jointly designing receive beamforming (RBF) vectors and IRS phase shift matrix (PSM) are proposed: Max-RPS using general alternating optimization (Max-RPS-GAO) algorithm and Max-RPS using zero-forcing (Max-RPS-ZF) algorithm. Simulation results show that, compared with the no-IRS-assisted scheme and the no-PSM optimization scheme, the proposed IRS-assisted Max-RPS-GAO method and Max-RPS-ZF method can significantly improve the secrecy rate (SR) performance of the DM system. Moreover, compared with the Max-RPS-GAO method, the proposed Max-RPS-ZF method has a faster convergence speed and a certain lower computational complexity.

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“…For maximizing the receive power sum of IRSassisted DM system, the authors in [27] proposed the general alternating optimization and zero-forcing methods to jointly design the PSM at IRS and receive beamforming vectors at user. In [28], aiming to maximize the security rate of IRSassisted multiple-input single-output (MISO) DM network, the semi-definite relaxation algorithm was utilized to derive the precoding and IRS PSM when the location information of the eavesdropper was available. Thanks to the combination with IRS, the security rate performance of them has been significantly boosted.…”

Section: Introductionmentioning

confidence: 99%

A box of tasty snacks : old papa’s café, the traditional Hainanese café culture in Haikou City, Hainan Province, China

Dong¹

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Recently, intelligent reflecting surface (IRS) and unmanned aerial vehicle (UAV) have been introduced into wireless communication systems to enhance the performance of air-ground transmission. To make a good balance between performance, cost, and power consumption, a hybrid-IRS-and-UAV-assisted directional modulation (DM) network is investigated in this paper, where the hybrid IRS consists of passive and active reflecting elements. To maximize the achievable rate, three optimization algorithms, called maximum signal-to-noise ratio (SNR)-fractional programming (FP) (Max-SNR-FP), maximum SNR-equal amplitude reflecting (EAR) (Max-SNR-EAR), and maximum SNR-majorization-minimization (MM) (Max-SNR-MM), are proposed to jointly design the beamforming vector and phase shift matrix (PSM) of hybrid IRS by alternately optimizing one and giving another. The Max-SNR-FP method employs the successive convex approximation and FP methods to derive the beamforming vector and hybrid IRS PSM. The Max-SNR-EAR method adopts the maximum signal-to-leakagenoise ratio method and the criteria of phase alignment and EAR to design them. In addition, the Max-SNR-MM method utilizes the MM criterion to derive the IRS PSM. Simulation results show that the rates harvested by the proposed three methods are slightly lower than those of active IRS with higher power consumption, which are 35 percent higher than those of no IRS and random phase IRS, while passive IRS achieves only about 17 percent rate gain over the latter. Moreover, compared to Max-SNR-FP, the proposed Max-SNR-EAR and Max-SNR-MM methods make an obvious complexity degradation at the price of a slight performance loss.

show abstract

Artificial noise aided directional modulation via reconfigurable intelligent surface: Secrecy guarantee in range domain

Cited by 7 publications

References 56 publications

Joint Beamforming and Phase Shift Design for Hybrid IRS and UAV-Aided Directional Modulation Networks

Joint Beamforming and Phase Shift Design for Hybrid IRS and UAV-Aided Directional Modulation Networks

Low-Complexity Joint Phase Adjustment and Receive Beamforming for Directional Modulation Networks via IRS

A box of tasty snacks : old papa’s café, the traditional Hainanese café culture in Haikou City, Hainan Province, China

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