Uploaded by Onel Luis Alcaraz LΓ³pez

2019-04-01 - Snow Poster 6G

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Statistical Analysis of Multiple Antenna Strategies
for Wireless Energy Transfer
Onel L. A. López¹, Hirley Alves¹, Richard Demo Souza², Samuel Montejo-Sánchez³
1 - 6G Flagship, MTC Group, CWC, University of Oulu, Finland
2 - Federal University of Santa Catarina (UFSC), Florianópolis, Brazil
3 - Universidad Tecnológica Metropolitana, Santiago, Chile
E-mail: onel.alcarazlopez@oulu.fi
ABSTRACT
We propose strategies that use multiple antennas at a power station for
powering wirelessly a large set of single-antenna devices.
Proposed strategies operate without Channel State Information (CSI) and
we attain the distribution and main statistics of the harvested energy
under Rician fading channels with sensitivity and saturation energy
harvesting (EH) impairments.
We show how the performance gap between CSI-free and CSI-based
strategies decreases quickly as the number of devices increases.
Non-Ideal EH model
SYSTEM MODEL
A dedicated power station 𝑻 equipped
with 𝑴 antennas powers wirelessly
a set 𝑺 = {π‘ΊπŸ , π‘ΊπŸ ,· · · , 𝑺 𝑺 } of singleantenna sensor nodes located nearby.
During WET 𝑇 may transmit with up to
𝑙 ≤ 𝑀 energy beams to broadcast
energy to all sensors in 𝑆.
By considering negligible the noise energy, the incident
RF power at the 𝑗 −th EH receiver is:
Average harvested energy as a function of Ο± under the ideal and non ideal EH
linear model for 𝑀 = 4, πœ… = 3 and 𝜌 ∈ 0.2,0.8 . (a) AA, (b) SA.
Now, the harvested energy, πœ‰π‘— , can be written as a function of πœ‰π‘—rf as πœ‰π‘— = 𝑔 πœ‰π‘—rf
where 𝑔 ∢ 𝑅 → 𝑅 is a non-decreasing function of its argument. We consider:
MAIN RESULTS
Assumptions:
• Sensors are uniformly distributed in the disk region of radius 𝑅 = 15m
• The distance between 𝑆𝑗 and 𝑇 , denoted as πœ„π‘— , is distributed with
π‘“πœ„π‘— (π‘₯) = 2π‘₯/𝑅2 , π‘₯ ≤ 𝑅.
• We assume that πœšπ‘— = πœ„π‘—−3 /100, πœ›1 = −22 dBm, πœ›2 = −8 dBm, πœ‚ = 0.35
WET STRATEGIES:
One Antenna (OA): Only one out of 𝑀 antennas is used for powering the
devices, thus, transmitting with full power.
All Antennas at Once (AA): The transmission is with all antennas but with
reduced power at each, 𝑀1 =
1
𝑀
πŸπ‘€×1 .
Switching Antennas (SA): 𝑇 transmits with full power by one antenna at a
time such that all antennas are used during a block. We assume equal-time
allocation for each antenna.
ANALYSIS UNDER CORRELATED RICIAN FADING
(a) Average harvested energy per user (left) and (b) Average energy outage per
user (right), as a function of |𝑆| for 𝑀 = 4, πœ… = 3 and 𝜌 = 0.2.
CONCLUSIONS
The proposed strategies are advantageous since they are CSI-free and it
is very challenging to acquire CSI in low-power multi-user WET systems.
Ideal EH model (π•πŸ = 𝟎, π•πŸ = ∞)
We investigated the impact of correlation among the antennas
evidencing its benefits only when using the AA scheme.
We found that the SA strategy guarantees the lowest variance in the
harvested energy, thus providing the most predictable energy source,
and it is particularly suitable for powering sensor nodes with highly
sensitive EH hardware and operating under poor LOS conditions.
We demonstrate the suitability of the CSI-free over the CSI-based
strategies as the number of devices increases.
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