RIS-UAV Enabled Worst-Case Downlink Secrecy Rate Maximization for Mobile Vehicles

Liu, Xin; Yu, Yingfeng; Peng, Bao; Zhai, Xiangping; Zhu, Qiuming; Leung, Victor C. M.

doi:10.1109/tvt.2022.3231376

Cited by 20 publications

(6 citation statements)

References 37 publications

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“…The optimization problem to maximize the worst-case secrecy rate by designing UAV's trajectory, RIS phase shifts, and UAV and BS transmit power under constraints on UAV trajectory, RIS phase shifts and transmit power budgets was considered and a solution based on SCA and SDR was proposed in [138]. To achieve the maximum worst-case secrecy rate via optimizing power allocation, RIS phase shifts, and UAV trajectory, an AObased algorithm that leverages SDR and SCA was investigated in [251].…”

Section: A Secrecy Rate Optimizationmentioning

confidence: 99%

“…A RIS-assisted secure SWIPT system was investigated for transferring information and power. The worstcase downlink secure communication scenario was addressed in [251], applying RIS-UAV as an aerial passive relay to enhance communication. The objective was to maximize the worst-case downlink secrecy rate by optimizing power allocation, RIS passive beamforming, and UAV trajectory.…”

Section: B Secrecy Capacity Enhancementmentioning

confidence: 99%

“…Motivated by this, [250] analyzed the secrecy outage performance of RISaided vehicular communications. The authors in [251] investigated the optimization of power allocation, RIS passive beamforming, and UAV trajectory to achieve the maximum worstcase downlink secrecy rate. However, these papers did not consider the mobility of vehicles, their speed, and associated handoff cost and Doppler effects.…”

Section: Ris-assisted Secure Vehicular Communicationsmentioning

confidence: 99%

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Relay Selection for Improving Physical Layer Security in D2D Underlay Communications

2022

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This paper investigates the physical layer security of inband underlay Device-to-Device (D2D) communication, where the direct link between D2D users is not available. In this respect, optimal relay and suboptimal relay selections are utilized to secure the D2D transmission. The eavesdropper uses either maximal-ratio combining or selection combining to increase the wiretapped signals. The D2D secrecy performance analysis is performed regarding the secrecy outage probability (SOP) and the probability of non-zero secrecy capacity, and closed-form expressions are provided for both relay selection approaches and verified using Monte-Carlo simulation. From the numerical results, it is shown that increasing the number of D2D relays enhances the secrecy performance of D2D communications. Moreover, the exact asymptotic analysis of the SOP is provided. It turns out that the diversity order of both relay selection approaches is the same.INDEX TERMS Physical layer security, D2D communications, secrecy outage probability, optimal and suboptimal relay selection, maximal-ratio combining, and selection combining., 1

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Section: A Secrecy Rate Optimizationmentioning

confidence: 99%

Section: B Secrecy Capacity Enhancementmentioning

confidence: 99%

Section: Ris-assisted Secure Vehicular Communicationsmentioning

confidence: 99%

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Relay Selection for Improving Physical Layer Security in D2D Underlay Communications

2022

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“…This recognition of the potential gap between theory and practice has fueled the development of [19,20] optimization techniques designed to account for such phase errors and provide a more accurate assessment of system performance under realistic conditions [21,22]. These techniques embody a shift away from the conventional wisdom of seeking optimal solutions under ideal conditions toward an approach that acknowledges and embraces the inherent uncertainties and worst-case scenarios in system design and operation [23,24]. The quest for more robust, reliable, and practical approaches to the design and optimization of RIS-assisted wireless communication systems has elicited a growing body of research exploring various aspects of this technology.…”

Section: Introductionmentioning

confidence: 99%

Enhancing active reconfigurable intelligent surface

Khalil¹

2023

Preprint

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<p> A Reconfigurable Intelligent Surface (RIS) panel comprises many independent Reflective Elements (REs). One possible way to implement an RIS is to use a binary passive load impedance connected to an antenna element to achieve the modulation of reflected radio waves. Each RE reflects incoming waves (incident signal) by using on/off modulation between two passive loads and adjusting its phase using a Phase Shifter (PS). However, this modulation process reduces the amplitude of the reflected output signal to less than unity. Therefore, recent RIS works have employed Reflection Amplifiers (RAs) to compensate for the losses incurred during the modulation process. However, these systems only improve the reflection coefficient for a single modulation state, resulting in suboptimal RE efficacy. Thus, this paper proposes a strategy for optimising RE by continuously activating the RA regardless of the switching load state. The performance of the proposed scheme is evaluated in two scenarios: (1) In the first scenario (Sc1), the RA only operates to compensate for high-impedance loads, and (2) in the second scenario (Sc2), the RA runs continuously regardless of the RE loads. To benchmark the performance of Sc1 and Sc2, various metrics are compared, including signal-to-noise ratio, insertion loss, noise figure, communication range, and power-added efficiency. Numerical examples are provided to demonstrate the effectiveness of the proposed scheme. It is found that the proposed system in Sc2 leads to better overall performance compared to Sc1 due to the increased gain of the RIS reflection.</p>

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“…Although introducing AN can improve security performance, it does not cope well with mobile eavesdroppers due to the limitations of fixed devices. RIS has gained a lot of attention because it enables to improve the signal transmission environment by changing the phase shift and/or amplitude of the reflecting elements [23]. Literature [24] investigated the mitigation of co‐channel interference by using RIS in UAVs operating in a cellular network.…”

Section: Introductionmentioning

confidence: 99%

Resource and trajectory optimization for secure communication in RIS assisted UAV‐MEC system

Liu,

Huang,

et al. 2023

IET Communications

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The combination of unmanned aerial vehicles (UAVs) and mobile edge computing (MEC) is considered as a promising approach to tackle soaring computing requirements. The broadcast nature of air‐to‐ground (A2G) links makes UAV communications vulnerable to eavesdroppers, so secure UAV communications remain an open question. This paper proposes a secure communication scheme for reconfigurable intelligent surface (RIS)‐assisted UAV‐MEC systems, in which the RIS assists the user in offloading data to the legitimate UAV, and the legitimate UAV provides computing services to the user. To fully expand the security computing capacity of the system, the communication link is improved by introducing RIS, and the jammer interferes with the eavesdropper. The secure computing capability of the system is maximized by optimizing communication resources and trajectories. Since the proposed problem is non‐convex, successive convex approximation (SCA) technique and block coordinate descent (BCD) technique is combined to solve the problem. The simulation results show that the proposed scheme in this paper can effectively improve the system secure computing bits compared with the benchmark scheme.

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RIS-UAV Enabled Worst-Case Downlink Secrecy Rate Maximization for Mobile Vehicles

Cited by 20 publications

References 37 publications

Relay Selection for Improving Physical Layer Security in D2D Underlay Communications

Relay Selection for Improving Physical Layer Security in D2D Underlay Communications

Enhancing active reconfigurable intelligent surface

Resource and trajectory optimization for secure communication in RIS assisted UAV‐MEC system

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