Practical nonlinear energy harvesting model in MIMO DF relay system with channel uncertainty
File(s) draftonlyTSclean.pdf (132.66 KB)
Accepted version
Author(s)
Benkhelifa, F
Alouini, Mohamed-Slim
Type
Conference Paper
Abstract
In this paper, we aim to maximize the end-to-
end achievable rate of multiple-input multiple-output (MI
MO)
decode-and-forward (DF) where the relay is an energy harves
t-
ing (EH) node using the time switching (TS) scheme. The relay
first harvests the energy from the source, then uses its harve
sted
energy to forward the information carrying signal from the
source to the destination. The EH model at the relay is a
nonlinear model. Also, we assume that the channel knowledge
is
imperfect at the relay and destination. We propose the struc
ture
of the optimal covariance matrices at the source (during EH a
nd
information decoding periods), the optimal covariance mat
rix at
the relay and the optimal EH time ratio. Through the simulati
on
results, we compare between di
ff
erent linear
/
nonlinear EH
models and we show the gain
/
loss performance of the linear
model compared to other nonlinear EH models
end achievable rate of multiple-input multiple-output (MI
MO)
decode-and-forward (DF) where the relay is an energy harves
t-
ing (EH) node using the time switching (TS) scheme. The relay
first harvests the energy from the source, then uses its harve
sted
energy to forward the information carrying signal from the
source to the destination. The EH model at the relay is a
nonlinear model. Also, we assume that the channel knowledge
is
imperfect at the relay and destination. We propose the struc
ture
of the optimal covariance matrices at the source (during EH a
nd
information decoding periods), the optimal covariance mat
rix at
the relay and the optimal EH time ratio. Through the simulati
on
results, we compare between di
ff
erent linear
/
nonlinear EH
models and we show the gain
/
loss performance of the linear
model compared to other nonlinear EH models
Date Issued
2019-02-21
Date Acceptance
2018-08-14
Citation
2019
Publisher
IEEE
Copyright Statement
© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Identifier
https://ieeexplore.ieee.org/document/8647241
Source
2018 IEEE Global Communications Conference: Green Communications Systems and Networks
Subjects
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Engineering
Multiple-input multiple-output (MIMO)
decode-and-forward (DF)
radio frequency energy harvesting (EH)
time switching (TS)
nonlinear EH model
imperfect channel state information (CSI)
WIRELESS INFORMATION
SWIPT
Publication Status
Published
Start Date
2018-12-09
Finish Date
2018-12-13
Coverage Spatial
Abu Dhabi, UAE
Date Publish Online
2019-02-21
