76 research outputs found
Waveform Optimization for Wireless Power Transfer with Nonlinear Energy Harvester Modeling
Far-field Wireless Power Transfer (WPT) and Simultaneous Wireless Information
and Power Transfer (SWIPT) have attracted significant attention in the RF and
communication communities. Despite the rapid progress, the problem of waveform
design to enhance the output DC power of wireless energy harvester has received
limited attention so far. In this paper, we bridge communication and RF design
and derive novel multisine waveforms for multi-antenna wireless power transfer.
The waveforms are adaptive to the channel state information and result from a
posynomial maximization problem that originates from the non-linearity of the
energy harvester. They are shown through realistic simulations to provide
significant gains (in terms of harvested DC power) over state-of-the-art
waveforms under a fixed transmit power constraint.Comment: paper to be presented at IEEE International Symposium on Wireless
Communication Systems (ISWCS 2015
IRS-Aided SWIPT: Joint Waveform, Active and Passive Beamforming Design Under Nonlinear Harvester Model
The performance of Simultaneous Wireless Information and Power Transfer
(SWIPT) is mainly constrained by the received Radio-Frequency (RF) signal
strength. To tackle this problem, we introduce an Intelligent Reflecting
Surface (IRS) to compensate the propagation loss and boost the transmission
efficiency. This paper proposes a novel IRS-aided SWIPT system where a
multi-carrier multi-antenna Access Point (AP) transmits information and power
simultaneously, with the assist of an IRS, to a single-antenna User Equipment
(UE) employing practical receiving schemes. Considering harvester nonlinearity,
we characterize the achievable Rate-Energy (R-E) region through a joint
optimization of waveform, active and passive beamforming based on the Channel
State Information at the Transmitter (CSIT). This problem is solved by the
Block Coordinate Descent (BCD) method, where we obtain the active precoder in
closed form, the passive beamforming by the Successive Convex Approximation
(SCA) approach, and the waveform amplitude by the Geometric Programming (GP)
technique. To facilitate practical implementation, we also propose a
low-complexity design based on closed-form adaptive waveform schemes.
Simulation results demonstrate the proposed algorithms bring considerable R-E
gains with robustness to CSIT inaccuracy and finite IRS states, and emphasize
the importance of modeling harvester nonlinearity in the IRS-aided SWIPT
design.Comment: Source code available at
https://github.com/SnowzTail/irs-aided-swipt-joint-waveform-active-and-passive-beamforming-design-under-nonlinear-harvester-mode
Signal and System Design for Wireless Power Transfer : Prototype, Experiment and Validation
A new line of research on communications and signals design for Wireless
Power Transfer (WPT) has recently emerged in the communication literature.
Promising signal strategies to maximize the power transfer efficiency of WPT
rely on (energy) beamforming, waveform, modulation and transmit diversity, and
a combination thereof. To a great extent, the study of those strategies has so
far been limited to theoretical performance analysis. In this paper, we study
the real over-the-air performance of all the aforementioned signal strategies
for WPT. To that end, we have designed, prototyped and experimented an
innovative radiative WPT architecture based on Software-Defined Radio (SDR)
that can operate in open-loop and closed-loop (with channel acquisition at the
transmitter) modes. The prototype consists of three important blocks, namely
the channel estimator, the signal generator, and the energy harvester. The
experiments have been conducted in a variety of deployments, including
frequency flat and frequency selective channels, under static and mobility
conditions. Experiments highlight that a channeladaptive WPT architecture based
on joint beamforming and waveform design offers significant performance
improvements in harvested DC power over conventional
single-antenna/multiantenna continuous wave systems. The experimental results
fully validate the observations predicted from the theoretical signal designs
and confirm the crucial and beneficial role played by the energy harvester
nonlinearity.Comment: Accepted to IEEE Transactions on Wireless Communication
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