1,816 research outputs found
Magnetic Beamforming for Wireless Power Transfer
Magnetic resonant coupling (MRC) is an efficient method for realizing the
near-field wireless power transfer (WPT). The use of multiple transmitters
(TXs) each with one coil can be applied to enhance the WPT performance by
focusing the magnetic fields from all TX coils in a beam toward the receiver
(RX) coil, termed as "magnetic beamforming". In this paper, we study the
optimal magnetic beamforming for an MRC-WPT system with multiple TXs and a
single RX. We formulate an optimization problem to jointly design the currents
flowing through different TXs so as to minimize the total power drawn from
their voltage sources, subject to the minimum power required by the RX load as
well as the TXs' constraints on the peak voltage and current. For the special
case of identical TX resistances and neglecting all TXs' constraints on the
peak voltage and current, we show that the optimal current magnitude of each TX
is proportional to the mutual inductance between its TX coil and the RX coil.
In general, the problem is a non-convex quadratically constrained quadratic
programming (QCQP) problem, which is reformulated as a semidefinite programming
(SDP) problem. We show that its semidefinite relaxation (SDR) is tight.
Numerical results show that magnetic beamforming significantly enhances the
deliverable power as well as the WPT efficiency over the uncoordinated
benchmark scheme of equal current allocation.Comment: 13 Pages, 3 figures, submitted to IEEE ICASSP 201
Beamforming for Magnetic Induction based Wireless Power Transfer Systems with Multiple Receivers
Magnetic induction (MI) based communication and power transfer systems have
gained an increased attention in the recent years. Typical applications for
these systems lie in the area of wireless charging, near-field communication,
and wireless sensor networks. For an optimal system performance, the power
efficiency needs to be maximized. Typically, this optimization refers to the
impedance matching and tracking of the split-frequencies. However, an important
role of magnitude and phase of the input signal has been mostly overlooked.
Especially for the wireless power transfer systems with multiple transmitter
coils, the optimization of the transmit signals can dramatically improve the
power efficiency. In this work, we propose an iterative algorithm for the
optimization of the transmit signals for a transmitter with three orthogonal
coils and multiple single coil receivers. The proposed scheme significantly
outperforms the traditional baseline algorithms in terms of power efficiency.Comment: This paper has been accepted for presentation at IEEE GLOBECOM 2015.
It has 7 pages and 5 figure
Energy Beamforming with One-Bit Feedback
Wireless energy transfer (WET) has attracted significant attention recently
for providing energy supplies wirelessly to electrical devices without the need
of wires or cables. Among different types of WET techniques, the radio
frequency (RF) signal enabled far-field WET is most practically appealing to
power energy constrained wireless networks in a broadcast manner. To overcome
the significant path loss over wireless channels, multi-antenna or
multiple-input multiple-output (MIMO) techniques have been proposed to enhance
the transmission efficiency and distance for RF-based WET. However, in order to
reap the large energy beamforming gain in MIMO WET, acquiring the channel state
information (CSI) at the energy transmitter (ET) is an essential task. This
task is particularly challenging for WET systems, since existing channel
training and feedback methods used for communication receivers may not be
implementable at the energy receiver (ER) due to its hardware limitation. To
tackle this problem, in this paper we consider a multiuser MIMO system for WET,
where a multiple-antenna ET broadcasts wireless energy to a group of
multiple-antenna ERs concurrently via transmit energy beamforming. By taking
into account the practical energy harvesting circuits at the ER, we propose a
new channel learning method that requires only one feedback bit from each ER to
the ET per feedback interval. The feedback bit indicates the increase or
decrease of the harvested energy by each ER between the present and previous
intervals, which can be measured without changing the existing hardware at the
ER. Based on such feedback information, the ET adjusts transmit beamforming in
different training intervals and at the same time obtains improved estimates of
the MIMO channels to ERs by applying a new approach termed analytic center
cutting plane method (ACCPM).Comment: This is the longer version of a paper to appear in IEEE Transactions
on Signal Processin
Recent Advances in Joint Wireless Energy and Information Transfer
In this paper, we provide an overview of the recent advances in
microwave-enabled wireless energy transfer (WET) technologies and their
applications in wireless communications. Specifically, we divide our
discussions into three parts. First, we introduce the state-of-the-art WET
technologies and the signal processing techniques to maximize the energy
transfer efficiency. Then, we discuss an interesting paradigm named
simultaneous wireless information and power transfer (SWIPT), where energy and
information are jointly transmitted using the same radio waveform. At last, we
review the recent progress in wireless powered communication networks (WPCN),
where wireless devices communicate using the power harvested by means of WET.
Extensions and future directions are also discussed in each of these areas.Comment: Conference submission accepted by ITW 201
On Reliability of Underwater Magnetic Induction Communications with Tri-Axis Coils
Underwater magnetic induction communications (UWMICs) provide a low-power and
high-throughput solution for autonomous underwater vehicles (AUVs), which are
envisioned to explore and monitor the underwater environment. UWMIC with
tri-axis coils increases the reliability of the wireless channel by exploring
the coil orientation diversity. However, the UWMIC channel is different from
typical fading channels and the mutual inductance information (MII) is not
always available. It is not clear the performance of the tri-axis coil MIMO
without MII. Also, its performances with multiple users have not been
investigated. In this paper, we analyze the reliability and multiplexing gain
of UWMICs with tri-axis coils by using coil selection. We optimally select the
transmit and receive coils to reduce the computation complexity and power
consumption and explore the diversity for multiple users. We find that without
using all the coils and MII, we can still achieve reliability. Also, the
multiplexing gain of UWMIC without MII is 5dB smaller than typical terrestrial
fading channels. The results of this paper provide a more power-efficient way
to use UWMICs with tri-axis coils
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