System-Level Analysis of Far-Field Radio Frequency Power Delivery for mm-Sized Sensor Nodes

Charthad, Jayant; Dolatsha, Nemat; Rekhi, Angad; Arbabian, Amin

doi:10.1109/tcsi.2015.2512720

Cited by 40 publications

(16 citation statements)

References 41 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Therefore, as both p c and τ c have an identical effect on E c , and µ Es is strictly increasing in µ pr , the optimal PA p c for the CE phase should be such that it maximizes the monotonically increasing µ E h (cf. (33)). Hence, the optimal PA is p * c = p max .…”

Section: (51b)mentioning

confidence: 99%

Optimal Channel Estimation for Hybrid Energy Beamforming Under Phase Shifter Impairments

Mishra

Johansson

2019

IEEE Trans. Commun.

View full text Add to dashboard Cite

Smart multiantenna wireless power transmission can enable perpetual operation of energy harvesting (EH) nodes in the internet-of-things. Moreover, to overcome the increased hardware cost and space constraints associated with having large antenna arrays at the radio frequency (RF) energy source, the hybrid energy beamforming (EBF) architecture with single RF chain can be adopted. Using the recently proposed hybrid EBF architecture modeling the practical analog phase shifter impairments (API), we derive the optimal least-squares estimator for the energy source to EH user channel. Next, the average harvested power at the user is derived while considering the nonlinear RF EH model and a tight analytical approximation for it is also presented by exploring the practical limits on the API. Using these developments, the jointly global optimal transmit power and time allocation for channel estimation (CE) and EBF phases, that maximizes the average energy stored at the EH user is derived in closed form. Numerical results validate the proposed analysis and present nontrivial design insights on the impact of API and CE errors on the achievable EBF performance. It is shown that the optimized hybrid EBF protocol with joint resource allocation yields an average performance improvement of 37% over benchmark fixed allocation scheme.

show abstract

Section: (51b)mentioning

confidence: 99%

Optimal Channel Estimation for Hybrid Energy Beamforming Under Phase Shifter Impairments

Mishra

Johansson

2019

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…7). It is worth mentioning that recent results have shown that mmWave energy harvesting circuits can run with only a few µW [26], [27]. We now derive the combining gain expression for the proposed SWIPT receiver architecture in Fig.…”

Section: B Low-power Receiver Architecturementioning

confidence: 99%

“…The optimal solution to (27) can be found by an exhaustive search over all possible combinations of w. For large receive antenna arrays, this could entail high computational costs, which would further increase the power consumption. Therefore, it is important to consider computationally efficient approaches for designing the combining vector.…”

Section: B Low-power Receiver Architecturementioning

confidence: 99%

Millimeter Wave Energy Harvesting

Khan

Alkhateeb

Heath

2016

IEEE Trans. Wireless Commun.

143

105

View full text Add to dashboard Cite

The millimeter wave (mmWave) band, which is a prime candidate for 5G cellular networks, seems attractive for wireless energy harvesting. This is because it will feature large antenna arrays as well as extremely dense base station (BS) deployments. The viability of mmWave for energy harvesting though is unclear, due to the differences in propagation characteristics such as extreme sensitivity to building blockages. This paper considers a scenario where low-power devices extract energy and/or information from the mmWave signals. Using stochastic geometry, analytical expressions are derived for the energy coverage probability, the average harvested power, and the overall (energy-and-information) coverage probability at a typical wireless-powered device in terms of the BS density, the antenna geometry parameters, and the channel parameters. Numerical results reveal several network and device level design insights. At the BSs, optimizing the antenna geometry parameters such as beamwidth can maximize the network-wide energy coverage for a given user population. At the device level, the performance can be substantially improved by optimally splitting the received signal for energy and information extraction, and by deploying multi-antenna arrays. For the latter, an efficient low-power multi-antenna mmWave receiver architecture is proposed for simultaneous energy and information transfer. Overall, simulation results suggest that mmWave energy harvesting generally outperforms lower frequency solutions.Comment: 30 pages, published in IEEE Transactions on Wireless Communication

show abstract

“…Such efficient designs require a system approach from which each component that constitutes an IoT system will be carefully designed [24], as shown in Figure 1. Current research works in circuits and systems' efficiency mostly focus on the design of efficient protocols or architectures for communication Integrated Circuit (IC) [25][26][27][28], or on more efficient power management systems [29][30][31], but they usually do not include efficient integration of the proposed IC into a comprehensive IoT system.…”

Section: Introductionmentioning

confidence: 99%

“…In this way, the design of the front end IC usually aims to meet an impedance of 50 Ω, such that the design of the transmission line and the matching circuit or antenna can be reduced to the choice of components with characteristic impedance equal 50 Ω. However, bespoke designs could be achieved if a system approach was used that includes the impedance matching aspects [24,32,33]. Indeed, today's packaging constraints often prevent engineers to use standard components with specific sizes, leading to complex computer aided (CAD) design methods or to inefficient designs that prevent scalability of IoT networks.…”

Section: Introductionmentioning

confidence: 99%

Internet of Things: A Review on Theory Based Impedance Matching Techniques for Energy Efficient RF Systems

Couraud

Vauché

Daskalakis

et al. 2021

JLPEA

View full text Add to dashboard Cite

Within an increasingly connected world, the exponential growth in the deployment of Internet of Things (IoT) applications presents a significant challenge in power and data transfer optimisation. Currently, the maximization of Radio Frequency (RF) system power gain depends on the design of efficient, commercial chips, and on the integration of these chips by using complex RF simulations to verify bespoke configurations. However, even if a standard 50Ω transmitter’s chip has an efficiency of 90%, the overall power efficiency of the RF system can be reduced by 10% if coupled with a standard antenna of 72Ω. Hence, it is necessary for scalable IoT networks to have optimal RF system design for every transceiver: for example, impedance mismatching between a transmitter’s antenna and chip leads to a significant reduction of the corresponding RF system’s overall power efficiency. This work presents a versatile design framework, based on well-known theoretical methods (i.e., transducer gain, power wave approach, transmission line theory), for the optimal design in terms of power delivered to a load of a typical RF system, which consists of an antenna, a matching network, a load (e.g., integrated circuit) and transmission lines which connect all these parts. The aim of this design framework is not only to reduce the computational effort needed for the design and prototyping of power efficient RF systems, but also to increase the accuracy of the analysis, based on the explanatory analysis within our design framework. Simulated and measured results verify the accuracy of this proposed design framework over a 0–4 GHz spectrum. Finally, a case study based on the design of an RF system for Bluetooth applications demonstrates the benefits of this RF design framework.

show abstract

System-Level Analysis of Far-Field Radio Frequency Power Delivery for mm-Sized Sensor Nodes

Cited by 40 publications

References 41 publications

Optimal Channel Estimation for Hybrid Energy Beamforming Under Phase Shifter Impairments

Optimal Channel Estimation for Hybrid Energy Beamforming Under Phase Shifter Impairments

Millimeter Wave Energy Harvesting

Internet of Things: A Review on Theory Based Impedance Matching Techniques for Energy Efficient RF Systems

Contact Info

Product

Resources

About