RIS-Aided Physical Layer Security With Full-Duplex Jamming in Underlay D2D Networks

Khalid, Waqas; Yu, Heejung; Do, Dinh‐Thuan; Kaleem, Zeeshan; Noh, Song

doi:10.1109/access.2021.3095852

Cited by 56 publications

(20 citation statements)

References 50 publications

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“…2) IRS-AIDED COMMUNICATION SYSTEM Motivated by the advantages of the IRS, researchers introduce IRS into all kinds of settings [9,[19][20][21]. Authors in [9] integrate the IRS into unmanned aerial vehicle (UAV) communication and improve the sum-rate of the single antenna UAV system.…”

Section: ) Resource Allocation In D2d Communicationmentioning

confidence: 99%

“…In addition to applications in single antenna systems, IRS can be used to enhance the performance of multi-antenna systems such as MIMO [20]. What's more, IRS can be designed to improve the capacity in short-range scenarios, such as D2D and cell-free massive MIMO systems [21]. It is unnecessary to introduce reflected equipment to forward useful signals for a D2D pair when the direct path between a D2D transmitter and a D2D receiver is available.…”

Section: ) Resource Allocation In D2d Communicationmentioning

confidence: 99%

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Sum-Rate Optimization for IRS-Aided D2D Communication Underlaying Cellular Networks

Cao

et al. 2022

IEEE Access

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The intelligent reflective surface (IRS)-assisted communication is recognized as a promising technology to enhance capacity and coverage of the network by controlling propagation. However, in IRS-aided device-to-device (D2D) communication underlaying cellular networks, co-channel interference is more complicated and challenging than traditional D2D communication networks due to the addition of extra reflection paths. To alleviate interference and improve sum-rate, we establish a multivariable resource optimization function based on IRS-assisted D2D communication in this paper. Then, a hybrid sub-optimal algorithm is proposed, which includes channel allocation based on game theory, power allocation and phase shift optimization. Specifically, a sub-channel allocation algorithm is introduced to maximize system sum-rate, where the problem of sub-channel allocation is formulated as a two-stage combinatorial auction model, and the approximate optimal solution is obtained by bidding and adjustment. Then, a sub-optimal solution for transmission power and phase shifts is obtained through local search and iterative optimization. Simulation results show that the proposed hybrid sub-optimal algorithm is feasible and effective. Compared to the other 5 schemes, it has best sum-rate performance and lowest power consumption.

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Section: ) Resource Allocation In D2d Communicationmentioning

confidence: 99%

Section: ) Resource Allocation In D2d Communicationmentioning

confidence: 99%

Sum-Rate Optimization for IRS-Aided D2D Communication Underlaying Cellular Networks

Cao

et al. 2022

IEEE Access

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“…Recently, AN or jamming has been introduced into new RIS-aided network setups. The authors in [87], examined the integration of RIS and full-duplex jamming receivers in underlay device-to-device (D2D) systems. The authors derived novel approximate expressions of the proposed system achievable ergodic SR.…”

Section: ) State-of-the-artmentioning

confidence: 99%

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Munochiveyi

Pogaku

Do³

et al. 2021

IEEE Access

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Reconfigurable intelligent surface (RIS)-aided communication is considered as an exciting research topic in academic and industrial communities since it provides an emerging affordable solution to achieve high quality and secure next-generation wireless systems. Especially, the deployment of RIS in multi-user wireless networks promises to reduce system hardware costs, signal processing complexity, as well as energy consumption due to small size, lightweight and ability to actively shape the wireless propagation environment. Further, by realizing a cost-effective radio environment, RIS-aided communication can be implemented to be an appealing technology for future integration with other emerging wireless applications and communication systems. Despite the positive appeal, RISs face new challenges that hinder integrating efficiently into wireless networks, such as network secrecy performance and system sum-rates, as well as achieving efficient deployment design in highly dynamic and time-varying wireless environments. To this end, we overview recent state-of-the-art techniques to address the above issues faced in the integration of RISs with various emerging multi-user communication techniques, such as Unmanned Aerial Vehicles (UAVs), Non-Orthogonal Multiple Access (NOMA), Millimeter Wave (mmWave) and Terahertz (THz) communications, Physical Layer Security (PLS), massive antennas, and Simultaneous Wireless Information and Power Transfer (SWIPT). Finally, we highlight promising future research directions of RIS-aided communication in Cell-Free Massive Multiple-Input-Multiple-Output (MIMO) systems, Rate-Splitting Multiple Access (RSMA), Light Fidelity (LiFi), and Cognitive Radio (CR) systems.

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“…The authors of [11] explored the block coordinate descent method to optimize delays in IRS-assisted MEC systems. The authors of [16] studied the physical layer security and data transmission of IRS-assisted D2D networks. The authors of [17] studied the IRS-assisted D2D wireless communication system, using IRS to regulate its reflecting components to enhance the data transmission of D2D communication.…”

Section: Introductionmentioning

confidence: 99%

“…The literature [10][11][12][13][14][15][16][17][18] mentioned above did not consider the influence of imperfect CSI on transmission design. Because of the inevitable channel estimation errors, simply treating channels as perfect ones in the analysis process will lead to the loss of system performance.…”

Section: Introductionmentioning

confidence: 99%

Power Optimization of IRS-Assisted D2D System Based on Imperfect Channel

Chen

Zhang

et al. 2022

Journal of Sensors

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Intelligent reflecting surface (IRS) is a promising technology that can help wireless communications achieve efficient spectrum and energy efficiency. However, because of its weak signal processing ability, it is difficult to get ideal channel state information (CSI). Under the imperfect channel state information hypothesis, we investigate a device-to-device (D2D) offload network. And an IRS is used to help calculate offloading from one set of task-intensive users to another set of idle users. We aim to jointly optimize transmit beamforming and IRS phase shifts to minimize system transmit power while requiring each user’s rate to meet the minimum rate constraint in the presence of channel errors. Unfortunately, the problem presented is nonconvex, and the imperfection of CSI makes it even more difficult to solve. Therefore, we apply the S-Procedure to convert the original problem to two effectively solvable semidefinite programming (SDP) subproblems and then solve them through the convex-concave procedure (CCP) algorithm and the alternate optimization method. Numerical results show the effectiveness of the algorithm and verify that the assistance of the IRS can greatly save the system transmit power.

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RIS-Aided Physical Layer Security With Full-Duplex Jamming in Underlay D2D Networks

Cited by 56 publications

References 50 publications

Sum-Rate Optimization for IRS-Aided D2D Communication Underlaying Cellular Networks

Sum-Rate Optimization for IRS-Aided D2D Communication Underlaying Cellular Networks

Reconfigurable Intelligent Surface Aided Multi-User Communications: State-of-the-Art Techniques and Open Issues

Power Optimization of IRS-Assisted D2D System Based on Imperfect Channel

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