Intelligent Reflecting Surface Enhanced User Cooperation in Wireless Powered Communication Networks

Zheng, Yuan; Bi, Suzhi; Zhang, Ying Jun; Quan, Zhi; Wang, Hui

doi:10.1109/lwc.2020.2974721

Cited by 112 publications

(68 citation statements)

References 17 publications

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“…In [230], the authors consider an RIS that assists the transmission of a two-user cooperative wireless-powered communication network. The authors study the problem of maximizing the throughput, by jointly optimizing the phase shifts of the RIS, the transmission time, and the power allocation strategy.…”

Section: O Wireless Power Transfermentioning

confidence: 99%

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Renzo

Zappone

Debbah

et al. 2020

IEEE J. Select. Areas Commun.

1,844

882

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What is a reconfigurable intelligent surface? What is a smart radio environment? What is a metasurface? How do metasurfaces work and how to model them? How to reconcile the mathematical theories of communication and electromagnetism? What are the most suitable uses and applications of reconfigurable intelligent surfaces in wireless networks? What are the most promising smart radio environments for wireless applications? What is the current state of research? What are the most important and challenging research issues to tackle? These are a few of the many questions that we investigate in this short opus, which has the threefold objective of introducing the emerging research field of smart radio environments empowered by reconfigurable intelligent surfaces, putting forth the need of reconciling and reuniting C. E. Shannon's mathematical theory of communication with G. Green's and J. C. Maxwell's mathematical theories of electromagnetism, and reporting pragmatic guidelines and recipes for employing appropriate physics-based models of metasurfaces in wireless communications.

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Section: O Wireless Power Transfermentioning

confidence: 99%

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Renzo

Zappone

Debbah

et al. 2020

IEEE J. Select. Areas Commun.

1,844

882

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“…Other areas that have been examined include user cooperation [139], and multiple-input multiple-output (MIMO) SWIPT scenarios [140]. The scenario in [139], involves two users harvesting wireless energy and transmitting information to a shared hybrid access point. Here, the authors tackled the combined throughput maximization problem using a joint optimization of the RIS phase shifts, the transmission time and power allocations.…”

Section: Powering Smart Radio Environments and Next-generation Wirmentioning

confidence: 99%

A Review of Metasurfaces for Microwave Energy Transmission and Harvesting in Wireless Powered Networks

et al. 2021

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Wireless energy transmission and harvesting techniques have recently emerged as attractive solutions to realize wireless powered networks. By eliminating fundamental power constraints arising from the use of conventionally battery sources, wireless modes of energy transmission provide viable means to power wireless network devices away from the grid. Metasurfaces have emerged as key enablers for the use of microwave energy as a power source. Their unique abilities to tailor electromagnetic waves have motivated significant research interest into their use for power-focused microwave systems. This article provides an overview of progress in the development of metasurface implementations for microwave energy transmitters and energy harvesters. First, the paper provides a basic introduction to metasurfaces, after which it reviews research progress in metasurfaces for microwave energy transmission and harvesting. Also highlighted are key parameters by which the performance of such metasurface designs are characterized. In addition, an overview of studies on metasurfaces as reconfigurable intelligent surfaces in wireless networks supporting the simultaneous transmission of information and energy is presented. Finally, the paper highlights existing challenges, and explores future directions, including opportunities to control radio environments through ambiently energized reconfigurable intelligent surfaces in nextgeneration wireless networks.

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“…, is the complexityaccuracy trade-off factor and is the error term that can be neglected at sufficiently higher values of . The final approximate closed-form expression for 2 is given in (36), shown on the bottom of this page. Finally, the CDF can be obtained by substituting (29) and (36) in (21).…”

Section: B Csi Estimation and Central Control Unitmentioning

confidence: 99%

“…The final approximate closed-form expression for 2 is given in (36), shown on the bottom of this page. Finally, the CDF can be obtained by substituting (29) and (36) in (21).…”

Section: B Csi Estimation and Central Control Unitmentioning

confidence: 99%

Non-Linear Energy Harvesting in RIS-assisted URLLC Networks for Industry Automation

Dhok¹,

Raut²,

Sharma³

et al. 2021

Preprint

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A reconfigurable intelligent surface (RIS)-assisted wireless communication system with non-linear energy harvesting (EH) and ultra-reliable low-latency constraints is considered for its possible applications in industrial automation. A distant data-center (DC) communicates with the multiple destination machines with the help of a full-duplex (FD) server machine (SM) and RIS. Assuming the deficiency of enough transmission power at the FD-SM, the SM is considered in the near vicinity of the destinations in the industry to forward the data received from the distant DC. The reception at SM is assisted by the RIS and a non-linear hybrid power-time splitting (PTS) based EH receiver architecture is adopted to extend the lifespan of SM, thus increasing network lifetime. The scheduling of multiple destinations is done by SM based on the considered selection criteria namely, random (RND) scheduling, absolute (ABS) channel-power-based (CPB) scheduling and normalized (NRM) CPB scheduling. The end-to-end performance of the considered FD RIS-assisted network is analyzed, and the expressions for the block error rate (BLER) for all scheduling schemes are derived. Moreover, the effects of number of RIS elements, packet size, channel uses on the system performance are analyzed for the considered ultra-reliable and low-latency communication (URLLC) network. The scheduling fairness of all the scheduling schemes is also analyzed to study the performance-fairness trade-off. The derived analytical results are verified through Monte-Carlo simulations.

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Intelligent Reflecting Surface Enhanced User Cooperation in Wireless Powered Communication Networks

Cited by 112 publications

References 17 publications

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

Smart Radio Environments Empowered by Reconfigurable Intelligent Surfaces: How It Works, State of Research, and The Road Ahead

A Review of Metasurfaces for Microwave Energy Transmission and Harvesting in Wireless Powered Networks

Non-Linear Energy Harvesting in RIS-assisted URLLC Networks for Industry Automation

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