Energy-efficient resource allocation for SWIPT in multiple access channels

Tewodros A. Zewde; Mustafa C Gursoy

doi:10.1109/CISS.2016.7460509

Energy-efficient resource allocation for SWIPT in multiple access channels

Tewodros A. Zewde, Mustafa C Gursoy

Department of Electrical Engineering & Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

In this paper, we study optimal resource allocation strategies for simultaneous information and power transfer (SWIPT) focusing on the system energy efficiency. We consider two-user multiple access channels in which energy harvesting (EH) and information decoding (ID) nodes are spatially separated. We formulate optimization problems that maximize system energy efficiency while taking harvested energy constraints into account. These are concave-linear fractional problems, and hence Karush-Kuhn-Tucker (KKT) conditions are necessary and sufficient to obtain globally optimal solution. Solving these optimization problems, we provide analytical expressions for optimal transmit power allocation among the source nodes, and identify the corresponding energy efficiency. We confirm the theoretical analysis via numerical results. Furthermore, we also characterize the effect of circuit power consumption on the system's efficiency as the harvested energy demand varies.

Original language	English (US)
Title of host publication	2016 50th Annual Conference on Information Systems and Sciences, CISS 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	246-251
Number of pages	6
ISBN (Electronic)	9781467394574
DOIs	https://doi.org/10.1109/CISS.2016.7460509
State	Published - Apr 26 2016
Event	50th Annual Conference on Information Systems and Sciences, CISS 2016 - Princeton, United States Duration: Mar 16 2016 → Mar 18 2016

Other

Other	50th Annual Conference on Information Systems and Sciences, CISS 2016
Country/Territory	United States
City	Princeton
Period	3/16/16 → 3/18/16

Keywords

Energy efficiency
Multiple access
Throughput
Wireless information and power transfer

ASJC Scopus subject areas

Computer Networks and Communications
Information Systems

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10.1109/CISS.2016.7460509

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Zewde, TA & Gursoy, MC 2016, Energy-efficient resource allocation for SWIPT in multiple access channels. in 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016., 7460509, Institute of Electrical and Electronics Engineers Inc., pp. 246-251, 50th Annual Conference on Information Systems and Sciences, CISS 2016, Princeton, United States, 3/16/16. https://doi.org/10.1109/CISS.2016.7460509

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author = "Zewde, {Tewodros A.} and Gursoy, {Mustafa C}",

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T1 - Energy-efficient resource allocation for SWIPT in multiple access channels

AU - Zewde, Tewodros A.

AU - Gursoy, Mustafa C

PY - 2016/4/26

Y1 - 2016/4/26

N2 - In this paper, we study optimal resource allocation strategies for simultaneous information and power transfer (SWIPT) focusing on the system energy efficiency. We consider two-user multiple access channels in which energy harvesting (EH) and information decoding (ID) nodes are spatially separated. We formulate optimization problems that maximize system energy efficiency while taking harvested energy constraints into account. These are concave-linear fractional problems, and hence Karush-Kuhn-Tucker (KKT) conditions are necessary and sufficient to obtain globally optimal solution. Solving these optimization problems, we provide analytical expressions for optimal transmit power allocation among the source nodes, and identify the corresponding energy efficiency. We confirm the theoretical analysis via numerical results. Furthermore, we also characterize the effect of circuit power consumption on the system's efficiency as the harvested energy demand varies.

AB - In this paper, we study optimal resource allocation strategies for simultaneous information and power transfer (SWIPT) focusing on the system energy efficiency. We consider two-user multiple access channels in which energy harvesting (EH) and information decoding (ID) nodes are spatially separated. We formulate optimization problems that maximize system energy efficiency while taking harvested energy constraints into account. These are concave-linear fractional problems, and hence Karush-Kuhn-Tucker (KKT) conditions are necessary and sufficient to obtain globally optimal solution. Solving these optimization problems, we provide analytical expressions for optimal transmit power allocation among the source nodes, and identify the corresponding energy efficiency. We confirm the theoretical analysis via numerical results. Furthermore, we also characterize the effect of circuit power consumption on the system's efficiency as the harvested energy demand varies.

KW - Energy efficiency

KW - Multiple access

KW - Throughput

KW - Wireless information and power transfer

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BT - 2016 50th Annual Conference on Information Systems and Sciences, CISS 2016

PB - Institute of Electrical and Electronics Engineers Inc.

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Y2 - 16 March 2016 through 18 March 2016

ER -

Energy-efficient resource allocation for SWIPT in multiple access channels

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Keywords

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