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: mahdi.eskandari@ec.iut.ac.ir, alimdh@cc.iut.ac.ir. J. Jung and I. Lee are with the School of Electrical Engineering, Korea University, 145, Anam-ro, Seongbuk-gu, Seoul, 02841, Korea, email: jhn-jung@gmail.com, inkyu@korea.ac.kr. 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 -
