Wireless Power Transfer Empowered by Reconfigurable Intelligent Surfaces

Zhao, Long; Wang, Zhouyin; Wang, Xiaodong

doi:10.1109/jsyst.2020.2985121

Cited by 29 publications

(15 citation statements)

References 14 publications

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“…EH provides green and sustainable solutions to the power loss. Hence, EH-empowered LIS system can work as an energy harvester, where it converts the incident signal into electrical energy [79], [80]. Nonetheless, RF sources suffer from low incident power levels, mainly depending on the transmitted wave frequency, the antenna gain, and the communication range.…”

Section: A Realistic Optimization Frameworkmentioning

confidence: 99%

Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques

et al. 2020

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This paper surveys the optimization frameworks and performance analysis methods for large intelligent surfaces (LIS), which have been emerging as strong candidates to support the sixth-generation wireless physical platforms (6G). Due to their ability to adjust the behavior of interacting electromagnetic (EM) waves through intelligent manipulations of the reflections phase shifts, LIS have shown promising merits at improving the spectral efficiency of wireless networks. In this context, researchers have been recently exploring LIS technology in depth as a means to achieve programmable, virtualized, and distributed wireless network infrastructures. From a system level perspective, LIS have also been proven to be a lowcost, green, sustainable, and energy-efficient solution for 6G systems. This paper provides a unique blend that surveys the principles of operation of LIS, together with their optimization and performance analysis frameworks. The paper first introduces the LIS technology and its physical working principle. Then, it presents various optimization frameworks that aim to optimize specific objectives, namely, maximizing energy efficiency, sum-rate, secrecy-rate, and coverage. The paper afterwards discusses various relevant performance analysis works including capacity analysis, the impact of hardware impairments on capacity, uplink/downlink data rate analysis, and outage probability. The paper further presents the impact of adopting the LIS technology for positioning applications. Finally, we identify numerous exciting open challenges for LIS-aided 6G wireless networks, including resource allocation problems, hybrid radio frequency/visible light communication (RF-VLC) systems, health considerations, and localization. INDEX TERMS 6G technology, large intelligent surfaces (LIS), massive multiple-input multiple-output (mMIMO), millimetre waves (mmWave) communication, wireless communication.

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Section: A Realistic Optimization Frameworkmentioning

confidence: 99%

Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques

et al. 2020

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“…Through the application of the block coordinate descent (BCD) algorithm, the numerical results confirm that the SWIPT system performance is enhanced by the introduction of RISs. Similarly, [141] examines a scenario where a multiantenna base-station transfers energy to multiple users in non-line-of-sight conditions, with the aid of multiple RISs. The aim is to maximize the minimum harvested power by all users through optimizing the transmit beamformer, and RIS phase shifts.…”

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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“…Despite the promising benefit of IRS for WPT systems, there have been only limited works in this area [58]- [61], which considered different design objectives for the IRS-aided WPT system in Fig. 2.…”

Section: Extensions and Future Workmentioning

confidence: 99%

“…2. In contrast to (P1), maximizing the minimum harvested energy among all EUs was considered in [58] where active and passive beamformers are jointly optimized by leveraging asymptotic results, which, however, are suboptimal in general for the case with finite M and/or N . In [59], the transmit power at the AP was minimized by jointly optimizing active and passive beamforming subject to a given set of quality-of-service (QoS) requirements on the individual harvested energy amounts of EUs.…”

Section: Extensions and Future Workmentioning

confidence: 99%

Intelligent Reflecting Surface Aided Wireless Energy and Information Transmission: An Overview

Wu¹,

Guan²,

Zhang³

2021

Preprint

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Intelligent reflecting surface (IRS) is a promising technology for achieving spectrum and energy efficient wireless networks cost-effectively. Most existing works on IRS have focused on exploiting IRS to enhance the performance of wireless communication or wireless information transmission (WIT), while its potential for boosting the efficiency of radio-frequency (RF) wireless energy transmission (WET) still remains largely open. Although IRS-aided WET shares similar characteristics with IRS-aided WIT, they differ fundamentally in terms of design objective, receiver architecture, practical constraints, and so on. In this paper, we provide a tutorial overview on how to efficiently design IRS-aided WET systems as well as IRS-aided systems with both WIT and WET, namely IRS-aided simultaneous wireless information and power transfer (SWIPT) and IRS-aided wireless powered communication network (WPCN), from a communication and signal processing perspective. In particular, we present state-of-theart solutions to tackle the unique challenges in operating these systems, such as IRS passive reflection optimization, channel estimation and deployment. In addition, we propose new solution approaches and point out important directions for future research and investigation.

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Wireless Power Transfer Empowered by Reconfigurable Intelligent Surfaces

Cited by 29 publications

References 14 publications

Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques

Intelligent Surfaces for 6G Wireless Networks: A Survey of Optimization and Performance Analysis Techniques

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

Intelligent Reflecting Surface Aided Wireless Energy and Information Transmission: An Overview

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