Waveform optimization for large-scale multi-antenna multi-sine wireless power transfer

Huang, Yang; Clerckx, Bruno

doi:10.1109/spawc.2016.7536863

Cited by 18 publications

(58 citation statements)

References 29 publications

(115 reference statements)

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“…However, closed-form solution cannot be obtained for a system with K tags. Therefore, we propose an algorithm that jointly optimized the phases and the magnitudes, by making use of the matrix formulation introduced in [17], [18] 8 .…”

Section: B Waveform Optimizationmentioning

confidence: 99%

“…As in [18], we then linearize (20b) to solve (21). Specifically, at iteration l, the non-convex term q j (t j ) for j = 1, .., K in (20b) is approximated at t j (l−1) (the optimal t j achieved at iteration (l − 1)) as a linear function by its first-order Taylor expansion given asq j (t j , t…”

Section: (21)mentioning

confidence: 99%

“…Therefore, a new optimization algorithm is proposed in this paper to jointly optimize the phases and the magnitudes of the multisine waveform for the K-tags system, by making use of the matrix formulation and optimization technique developed in [17], [18]. Additionally, in contrast to the design for a pure Wireless Power Transfer (WPT) system (as in [17], [18]), the design in this paper needs to optimize the receive combiners at the reader, such that the SINR with respect to a tag can be higher than a threshold. The optimization of the transmit waveform and the receive combiners are coupled.…”

Section: Introductionmentioning

confidence: 99%

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Multiuser Wirelessly Powered Backscatter Communications: Nonlinearity, Waveform Design, and SINR-Energy Tradeoff

Zawawi

Huang

Clerckx

2019

IEEE Trans. Wireless Commun.

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Wireless power transfer and backscatter communications have emerged as promising solutions for energizing and communicating with power limited devices. Despite some progress in wirelessly powered backscatter communications, the focus has been concentrated on backscatter and energy harvester. Recently, significant progress has been made on the design of transmit multisine waveform, adaptive to the Channel State Information at the transmitter (CSIT), in point-to-point backscatter system. In this paper, we leverage the work and study the design of transmit multisine waveform in a multiuser backscatter system, made of one transmitter, one reader and multiple tags active simultaneously. We derive an efficient algorithm to optimize the transmit waveform so as to identify the tradeoff between the amount of energy harvested at the tags and the reliability of the communication, measured in terms of Signal-to-Interference-plus-Noise Ratio (SINR) at the reader. Performance with the optimized waveform based on linear and nonlinear energy harvester (EH) models are studied. Numerical results demonstrate the benefits of accounting for the energy harvester nonlinearity, multiuser diversity, frequency diversity and multisine waveform adaptive to the CSIT to enlarge the SINR-energy region.tags can operate with low power as they do not require RF components to generate carrier signal. Although backscatter communications has originally been limited to simple radio frequency identification (RFID) applications, it has received a renewed interests in recent years with advances in backscatter communication theory, including coding [5], beamforming [4], performance analysis of large networks [6], [7].RF transmitter in backscatter communications typically transmit sinusoidal continuous waveform (CW). Significant progress has recently been made on the waveform design in wireless power transfer (WPT), in order to improve the efficiency and DC output power of the energy harvester. In particular, [8] studies the nonlinear behaviour of RF-to-DC converter and suggests that significant DC power gain can be obtained by using multisine waveform with zero phase between the sinewaves. In [9], a multisine waveform transmission has been introduced to extend the reading signal.[10] presented multisine waveform method to improve power sensitivity of the tags and conduct a survey of reading range improvement for several commercial RFID tags. Motivated by the promising gains, a systematic approach towards waveform design for WPT was proposed in [11]. In [11], optimized multisine waveforms, adaptive to the CSIT, have been shown to provide significant gain by exploiting the rectifier nonlinearity and the frequency selectivity of the channel.Backscatter communication can leverage this recent progress in WPT waveform design and depart from the conventional CW transmission. Recently, [12] studies the tradeoff between harvested energy and backscatter communication in point-to-point deployment. It is noted that waveform design for WPT and backscatter communicati...

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Section: B Waveform Optimizationmentioning

confidence: 99%

Section: (21)mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Multiuser Wirelessly Powered Backscatter Communications: Nonlinearity, Waveform Design, and SINR-Energy Tradeoff

Zawawi

Huang

Clerckx

2019

IEEE Trans. Wireless Commun.

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“…In the study of far-field WPT, though circuit-level designs have been intensively studied in an effort to improve the RFto-DC conversion efficiency of a rectifier, the RF literature has A preliminary version has been presented in the IEEE International Workshop on Signal Processing Advances in Wireless Communications 2015 [1].…”

Section: Introductionmentioning

confidence: 99%

“…In the context of microwave theory, methods for improving the energy transfer efficiency have been studied in smart power beaming [2] (not leveraging multi-sine signals) and spatially combined multi-sine signals [3]. The main limitation of those methods is not only the lack of a systematic approach to design waveforms, but also the fact that they operate without Channel State Information (CSI) at the Transmitter (CSIT) 1 , which in communications is usually used to turn multipath fading into a benefit for users.…”

Section: Introductionmentioning

confidence: 99%

Large-Scale Multiantenna Multisine Wireless Power Transfer

Huang

Clerckx

2017

IEEE Trans. Signal Process.

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Abstract-Wireless Power Transfer (WPT) is expected to be a technology reshaping the landscape of low-power applications such as the Internet of Things, RF identification (RFID) networks, etc. To that end, multi-antenna multi-sine waveforms adaptive to the Channel State Information (CSI) have been shown to be a promising building block of WPT. However, the current design is computationally too complex to be applied to large-scale WPT, where the transmit signal is sent across a large number (tens) of antennas and frequencies. In this paper, we derive efficient singleuser and multi-user algorithms based on a generalizable optimization framework, in order to design transmit waveforms that maximize the weighted-sum/minimum rectenna DC output voltage. The study highlights the significant effect of the nonlinearity introduced by the rectification process on the design of waveforms in single/multi-user systems. Interestingly, in the single-user case, the optimal spatial domain beamforming, obtained prior to the frequency domain power allocation optimization, turns out to be Maximum Ratio Transmission (MRT). On the contrary, in the general multi-user weighted sum criterion maximization problem, the spatial domain beamforming optimization and the frequency domain power allocation optimization are coupled. Assuming channel hardening, low-complexity algorithms are proposed based on asymptotic analysis, to maximize the two criteria. The structure of the asymptotically optimal spatial domain precoder can be found prior to the optimization. The performance of the proposed algorithms is evaluated. Numerical results confirm the inefficiency of the linear model-based design for the single and multi-user scenarios. It is also shown that as nonlinear modelbased designs, the proposed algorithms can benefit from an increasing number of sinewaves at a computational cost much lower than the existing method. Simulation results highlight the significant benefits of the large-scale WPT architecture to boost the end-to-end power transfer efficiency and the transmission range.

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Wireless‐Powered Cooperative Relay Networks

Maso

Zhong

Zhou

et al. 2017

Wiley Encyclopedia of Electrical and Electronics Engineering

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A cooperative communication network consisting of a source, a destination, and one or multiple relays serves as a primary building block useful to implement practical wireless systems. On the other hand, limited battery life of mobile terminals adversely affects the performance of wireless communication systems. As a contemporary development, significant advances made in wireless power transfer (WPT) and energy harvesting techniques offer effective solutions to replenish energy and prolong the network operation. In this context, envisioning the combination of WPT and relay nodes seems to open up the promising prospect of building a network with larger throughput, wider coverage, and quasiperpetual operation. In this article, we present an overview of the contemporary results on system analysis, optimization, and hardware design aspects of wireless‐powered cooperative relay networks. Further, we highlight key research challenges that requires the attention of research community and system designers so that implementation of such networks becomes a reality in the near future.

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Waveform optimization for large-scale multi-antenna multi-sine wireless power transfer

Cited by 18 publications

References 29 publications

Multiuser Wirelessly Powered Backscatter Communications: Nonlinearity, Waveform Design, and SINR-Energy Tradeoff

Multiuser Wirelessly Powered Backscatter Communications: Nonlinearity, Waveform Design, and SINR-Energy Tradeoff

Large-Scale Multiantenna Multisine Wireless Power Transfer

Wireless‐Powered Cooperative Relay Networks

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