Antenna selection and power allocation for energy efficient MIMO systems

Mahdi Eskandari; Ali Mohamad Doost-Hoseini; Jaehoon Jung; Inkyu Lee

doi:10.1109/JCN.2018.000087

Antenna selection and power allocation for energy efficient MIMO systems

Mahdi Eskandari, Ali Mohamad Doost-Hoseini, Jaehoon Jung, Inkyu Lee

Research output: Contribution to journal › Article › peer-review

17 Citations (Scopus)

Abstract

In this paper, we investigate a new solution for the energy efficiency (EE) maximization and power allocation problem in point-to-point multiple-input multiple-output (MIMO) spatial multiplexing schemes. Different from conventional energy-efficient optimization approaches that require iterative numerical algorithms, we derive an optimal solution in a closed form, which provides an insight upon the relation between the optimum EE and system parameters such as circuit power and channel conditions. In addition, using the proposed closed form function, we present an upper bound on the optimum EE in terms of the full active transmit antennas parameters. Based on the derived upper bound, we also propose a new antenna selection algorithm which achieves almost the same performance as the optimum solution with much reduced complexity.

Original language	English
Article number	8620638
Pages (from-to)	546-553
Number of pages	8
Journal	Journal of Communications and Networks
Volume	20
Issue number	6
DOIs	https://doi.org/10.1109/JCN.2018.000087
Publication status	Published - 2018 Dec

Bibliographical note

Funding Information:
Manuscript received August 6, 2018. This paper is specially handled by EIC and Division Editor with the help of three anonymous reviewers in a fast manner. This work was supported by the National Research Foundation funded by the Ministry of Science, ICT and Future Planning of Korea Government under Grant 2017R1A2B3012316. M. Eskandari and A. M. Doost-Hoseini are with the Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran, email: [email protected], [email protected]. J. Jung and I. Lee are with the School of Electrical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, Korea, email: [email protected], [email protected]. Digital Object Identifier: 10.1109/JCN.2018.000087

Publisher Copyright:
© 2011 KICS.

Keywords

Antenna selection
energy efficiency
multi-antenna systems
optimal power allocation
water-filling algorithm

ASJC Scopus subject areas

Information Systems
Computer Networks and Communications

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/JCN.2018.000087

Cite this

@article{a03dace7bb5e434097e76113c977bfe0,

title = "Antenna selection and power allocation for energy efficient MIMO systems",

abstract = "In this paper, we investigate a new solution for the energy efficiency (EE) maximization and power allocation problem in point-to-point multiple-input multiple-output (MIMO) spatial multiplexing schemes. Different from conventional energy-efficient optimization approaches that require iterative numerical algorithms, we derive an optimal solution in a closed form, which provides an insight upon the relation between the optimum EE and system parameters such as circuit power and channel conditions. In addition, using the proposed closed form function, we present an upper bound on the optimum EE in terms of the full active transmit antennas parameters. Based on the derived upper bound, we also propose a new antenna selection algorithm which achieves almost the same performance as the optimum solution with much reduced complexity.",

keywords = "Antenna selection, energy efficiency, multi-antenna systems, optimal power allocation, water-filling algorithm",

author = "Mahdi Eskandari and Doost-Hoseini, {Ali Mohamad} and Jaehoon Jung and Inkyu Lee",

note = "Funding Information: Manuscript received August 6, 2018. This paper is specially handled by EIC and Division Editor with the help of three anonymous reviewers in a fast manner. This work was supported by the National Research Foundation funded by the Ministry of Science, ICT and Future Planning of Korea Government under Grant 2017R1A2B3012316. M. Eskandari and A. M. Doost-Hoseini are with the Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran, email: [email protected], [email protected]. J. Jung and I. Lee are with the School of Electrical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, Korea, email: [email protected], [email protected]. Digital Object Identifier: 10.1109/JCN.2018.000087 Publisher Copyright: {\textcopyright} 2011 KICS.",

year = "2018",

month = dec,

doi = "10.1109/JCN.2018.000087",

language = "English",

volume = "20",

pages = "546--553",

journal = "Journal of Communications and Networks",

issn = "1229-2370",

publisher = "Korean Institute of Communications Information Sciences",

number = "6",

}

TY - JOUR

T1 - Antenna selection and power allocation for energy efficient MIMO systems

AU - Eskandari, Mahdi

AU - Doost-Hoseini, Ali Mohamad

AU - Jung, Jaehoon

AU - Lee, Inkyu

N1 - Funding Information: Manuscript received August 6, 2018. This paper is specially handled by EIC and Division Editor with the help of three anonymous reviewers in a fast manner. This work was supported by the National Research Foundation funded by the Ministry of Science, ICT and Future Planning of Korea Government under Grant 2017R1A2B3012316. M. Eskandari and A. M. Doost-Hoseini are with the Department of Electrical and Computer Engineering, Isfahan University of Technology, Isfahan 84156-83111, Iran, email: [email protected], [email protected]. J. Jung and I. Lee are with the School of Electrical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, Korea, email: [email protected], [email protected]. Digital Object Identifier: 10.1109/JCN.2018.000087 Publisher Copyright: © 2011 KICS.

PY - 2018/12

Y1 - 2018/12

N2 - In this paper, we investigate a new solution for the energy efficiency (EE) maximization and power allocation problem in point-to-point multiple-input multiple-output (MIMO) spatial multiplexing schemes. Different from conventional energy-efficient optimization approaches that require iterative numerical algorithms, we derive an optimal solution in a closed form, which provides an insight upon the relation between the optimum EE and system parameters such as circuit power and channel conditions. In addition, using the proposed closed form function, we present an upper bound on the optimum EE in terms of the full active transmit antennas parameters. Based on the derived upper bound, we also propose a new antenna selection algorithm which achieves almost the same performance as the optimum solution with much reduced complexity.

AB - In this paper, we investigate a new solution for the energy efficiency (EE) maximization and power allocation problem in point-to-point multiple-input multiple-output (MIMO) spatial multiplexing schemes. Different from conventional energy-efficient optimization approaches that require iterative numerical algorithms, we derive an optimal solution in a closed form, which provides an insight upon the relation between the optimum EE and system parameters such as circuit power and channel conditions. In addition, using the proposed closed form function, we present an upper bound on the optimum EE in terms of the full active transmit antennas parameters. Based on the derived upper bound, we also propose a new antenna selection algorithm which achieves almost the same performance as the optimum solution with much reduced complexity.

KW - Antenna selection

KW - energy efficiency

KW - multi-antenna systems

KW - optimal power allocation

KW - water-filling algorithm

UR - http://www.scopus.com/inward/record.url?scp=85060624011&partnerID=8YFLogxK

U2 - 10.1109/JCN.2018.000087

DO - 10.1109/JCN.2018.000087

M3 - Article

AN - SCOPUS:85060624011

SN - 1229-2370

VL - 20

SP - 546

EP - 553

JO - Journal of Communications and Networks

JF - Journal of Communications and Networks

IS - 6

M1 - 8620638

ER -

Antenna selection and power allocation for energy efficient MIMO systems

Abstract

Bibliographical note

Keywords

ASJC Scopus subject areas

UN SDGs

Access to Document

Other files and links

Fingerprint

Cite this