Practical Nonlinear Energy Harvesting Model in MIMO DF Relay System with Channel Uncertainty

Fatma Benkhelifa; Mohamed-Slim Alouini

doi:10.1109/GLOCOM.2018.8647241

Practical Nonlinear Energy Harvesting Model in MIMO DF Relay System with Channel Uncertainty

Fatma Benkhelifa, Mohamed-Slim Alouini

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding › peer-review

1 Citation (Scopus)

34 Downloads (Pure)

Abstract

In this paper, we aim to maximize the end-to-end achievable rate of multiple-input multiple-output (MIMO) decode-and-forward (DF) where the relay is an energy harvesting (EH) node using the time switching (TS) scheme. The relay first harvests the energy from the source, then uses its harvested 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 structure of the optimal covariance matrices at the source (during EH and information decoding periods), the optimal covariance matrix at the relay and the optimal EH time ratio. Through the simulation results, we compare between different linear/nonlinear EH models and we show the gain/loss performance of the linear model compared to other nonlinear EH models

Original language	English
Title of host publication	IEEE Global Communications Conference (GLOBECOM)
Publisher	IEEE
Pages	1-7
Number of pages	7
ISBN (Electronic)	978-1-5386-4727-1
DOIs	https://doi.org/10.1109/GLOCOM.2018.8647241
Publication status	Published - 21 Feb 2019
Externally published	Yes
Event	IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM) - Abu Dhabi, United Arab Emirates Duration: 9 Dec 2018 → 13 Dec 2018 https://globecom2018.ieee-globecom.org/

Publication series

Name
ISSN (Electronic)	2576-6813

Conference

Conference	IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)
Abbreviated title	GLOBECOM
Country/Territory	United Arab Emirates
City	Abu Dhabi
Period	9/12/18 → 13/12/18
Internet address	https://globecom2018.ieee-globecom.org/

Bibliographical note

© 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.

Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

Keywords

Relays
MIMO communication
Receivers
Optimization
Covariance matrices
Wireless communication
Mathematical model

Access to Document

10.1109/GLOCOM.2018.8647241

Post-PrintAccepted author manuscript, 579 KBLicence: Unspecified

Cite this

@inproceedings{40a452b1fce14ce382172da1c12c649f,

title = "Practical Nonlinear Energy Harvesting Model in MIMO DF Relay System with Channel Uncertainty",

abstract = "In this paper, we aim to maximize the end-to-end achievable rate of multiple-input multiple-output (MIMO) decode-and-forward (DF) where the relay is an energy harvesting (EH) node using the time switching (TS) scheme. The relay first harvests the energy from the source, then uses its harvested 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 structure of the optimal covariance matrices at the source (during EH and information decoding periods), the optimal covariance matrix at the relay and the optimal EH time ratio. Through the simulation results, we compare between different linear/nonlinear EH models and we show the gain/loss performance of the linear model compared to other nonlinear EH models",

keywords = "Relays, MIMO communication, Receivers, Optimization, Covariance matrices, Wireless communication, Mathematical model",

author = "Fatma Benkhelifa and Mohamed-Slim Alouini",

note = "{\textcopyright} 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. Copyright {\textcopyright} and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders. ; IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM), GLOBECOM ; Conference date: 09-12-2018 Through 13-12-2018",

year = "2019",

month = feb,

day = "21",

doi = "10.1109/GLOCOM.2018.8647241",

language = "English",

publisher = "IEEE",

pages = "1--7",

booktitle = "IEEE Global Communications Conference (GLOBECOM)",

address = "United States",

url = "https://globecom2018.ieee-globecom.org/",

}

TY - GEN

T1 - Practical Nonlinear Energy Harvesting Model in MIMO DF Relay System with Channel Uncertainty

AU - Benkhelifa, Fatma

AU - Alouini, Mohamed-Slim

N1 - © 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. Copyright © and Moral Rights are retained by the author(s) and/ or other copyright owners. A copy can be downloaded for personal non-commercial research or study, without prior permission or charge. This item cannot be reproduced or quoted extensively from without first obtaining permission in writing from the copyright holder(s). The content must not be changed in any way or sold commercially in any format or medium without the formal permission of the copyright holders.

PY - 2019/2/21

Y1 - 2019/2/21

N2 - In this paper, we aim to maximize the end-to-end achievable rate of multiple-input multiple-output (MIMO) decode-and-forward (DF) where the relay is an energy harvesting (EH) node using the time switching (TS) scheme. The relay first harvests the energy from the source, then uses its harvested 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 structure of the optimal covariance matrices at the source (during EH and information decoding periods), the optimal covariance matrix at the relay and the optimal EH time ratio. Through the simulation results, we compare between different linear/nonlinear EH models and we show the gain/loss performance of the linear model compared to other nonlinear EH models

AB - In this paper, we aim to maximize the end-to-end achievable rate of multiple-input multiple-output (MIMO) decode-and-forward (DF) where the relay is an energy harvesting (EH) node using the time switching (TS) scheme. The relay first harvests the energy from the source, then uses its harvested 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 structure of the optimal covariance matrices at the source (during EH and information decoding periods), the optimal covariance matrix at the relay and the optimal EH time ratio. Through the simulation results, we compare between different linear/nonlinear EH models and we show the gain/loss performance of the linear model compared to other nonlinear EH models

KW - Relays

KW - MIMO communication

KW - Receivers

KW - Optimization

KW - Covariance matrices

KW - Wireless communication

KW - Mathematical model

U2 - 10.1109/GLOCOM.2018.8647241

DO - 10.1109/GLOCOM.2018.8647241

M3 - Conference proceeding

SP - 1

EP - 7

BT - IEEE Global Communications Conference (GLOBECOM)

PB - IEEE

T2 - IEEE Conference and Exhibition on Global Telecommunications (GLOBECOM)

Y2 - 9 December 2018 through 13 December 2018

ER -

Practical Nonlinear Energy Harvesting Model in MIMO DF Relay System with Channel Uncertainty

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

Fingerprint

Cite this