Resource Allocation for Intelligent Reflecting Surface Assisted Wireless Powered IoT Systems With Power Splitting

Zhu, Zhengyu; Li, Zheng; Chu, Zheng; Sun, Guiling; Hao, Wanming; Peijia, Liu; Lee, Inkyu

doi:10.1109/twc.2021.3117346

Cited by 48 publications

(21 citation statements)

References 43 publications

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“…Furthermore, the authors of [8] introduced energy efficiency (EE) optimization in RIS-assisted systems. Nowadays, RIS-assisted transmission has been investigated in various scenarios such as IoT networks [9], [10], simultaneous wireless information and power transfer (SWIPT) [11], nonorthogonal multiple access (NOMA) [12], hybrid terrestrialaerial networks [13], [14], anti-jamming communications [15], [16], physical layer security communications [17], [18], and cognitive radio networks [19].…”

Section: Introductionmentioning

confidence: 99%

Joint Beamforming Design for Secure RIS-Assisted IoT Networks

Niu

Lin

Chu

et al. 2023

IEEE Internet Things J.

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Section: Introductionmentioning

confidence: 99%

Joint Beamforming Design for Secure RIS-Assisted IoT Networks

Niu

Lin

Chu

et al. 2023

IEEE Internet Things J.

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“…Intelligent reflecting surfaces (IRS) have attracted extensive research interests from both academia and industry in the last few years, as an efficient and cost-effective way to enhance the performance of wireless network systems [8]- [11]. The IRS enables reconfiguration of the wireless propagation environment to support wireless communications and radar sensing [12]- [14]. The IRS consists of many low-cost passive reflecting elements and the desired signal phase can be adjusted without specialized RF processing [15], [16].…”

Section: Introductionmentioning

confidence: 99%

Intelligent Reflecting Surface Assisted Integrated Sensing and Communications for mmWave Channels

Zhu¹,

Li²,

Chen³

et al. 2022

Preprint

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This paper proposes an intelligent reflecting surface (IRS) assisted integrated sensing and communication (ISAC) system operating at the millimeter-wave (mmWave) band. Specifically, the ISAC system combines communication and radar operations and performs, detecting and communicating simultaneously with multiple targets and users. The IRS dynamically controls the amplitude or phase of the radio signal via reflecting elements to reconfigure the radio propagation environment and enhance the transmission rate of the ISAC system. By jointly designing the radar signal covariance (RSC) matrix, the beamforming vector of the communication system, and the IRS phase shift, the ISAC system transmission rate can be improved while matching the desired waveform for radar. The problem is nonconvex due to multivariate coupling, and thus we decompose it into two separate subproblems. First, a closed-form solution of the RSC matrix is derived from the desired radar waveform. Next, the quadratic transformation (QT) technique is applied to the subproblem, and then alternating optimization (AO) is employed to determine the communication beamforming vector and the IRS phase shift. For computing the IRS phase shift, we adopt both the majorization minimization (MM) and the manifold optimization (MO). Also, we derive a closed-form solution for the formulated problem, effectively decreasing computational complexity. Furthermore, a trade-off factor is introduced to balance the performance of communication and sensing. Finally, the simulations verify the effectiveness of the algorithm and demonstrate that the IRS can improve the performance of the ISAC system.

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“…The RIS is powered by the B-Tx. The power consumption on RIS is mainly caused by controlling the phase shift at each reflecting element [8]- [10]. On the other hand, EH elements can reduce the RIS power consumption by collecting wireless energy.…”

Section: Introductionmentioning

confidence: 99%

Reconfigurable Intelligent Surface With Energy Harvesting Assisted Cooperative Ambient Backscatter Communications

Ma¹,

Zhang²,

Zhang³

et al. 2022

Preprint

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The performance of cooperative ambient backscatter communications (CABC) can be enhanced by employing reconfigurable intelligent surface (RIS) to assist backscatter transmitters. Since the RIS power consumption is a non-negligible issue, we consider a RIS assisted CABC system where the RIS with energy harvesting circuit can not only reflect signal but also harvest wireless energy. We study a transmission design problem to minimize the RIS power consumption with the quality of service constraints for both active and backscatter transmissions. The optimization problem is a mixed-integer non-convex programming problem which is NP-hard. To tackle it, an algorithm is proposed by employing the block coordinate descent, semidefinite relaxation and alternating direction method of multipliers techniques. Simulation results demonstrate the effectiveness of the proposed algorithm.

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Resource Allocation for Intelligent Reflecting Surface Assisted Wireless Powered IoT Systems With Power Splitting

Cited by 48 publications

References 43 publications

Joint Beamforming Design for Secure RIS-Assisted IoT Networks

Joint Beamforming Design for Secure RIS-Assisted IoT Networks

Intelligent Reflecting Surface Assisted Integrated Sensing and Communications for mmWave Channels

Reconfigurable Intelligent Surface With Energy Harvesting Assisted Cooperative Ambient Backscatter Communications

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