Antenna selection and power allocation for energy efficient MIMO systems

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

Research output: Contribution to journalArticle

3 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 languageEnglish
Article number8620638
Pages (from-to)546-553
Number of pages8
JournalJournal of Communications and Networks
Volume20
Issue number6
DOIs
Publication statusPublished - 2018 Dec 1

Fingerprint

Energy efficiency
Antennas
Multiplexing
Networks (circuits)

Keywords

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

ASJC Scopus subject areas

  • Information Systems
  • Computer Networks and Communications

Cite this

Antenna selection and power allocation for energy efficient MIMO systems. / Eskandari, Mahdi; Doost-Hoseini, Ali Mohamad; Jung, Jaehoon; Lee, Inkyu.

In: Journal of Communications and Networks, Vol. 20, No. 6, 8620638, 01.12.2018, p. 546-553.

Research output: Contribution to journalArticle

Eskandari, Mahdi ; Doost-Hoseini, Ali Mohamad ; Jung, Jaehoon ; Lee, Inkyu. / Antenna selection and power allocation for energy efficient MIMO systems. In: Journal of Communications and Networks. 2018 ; Vol. 20, No. 6. pp. 546-553.
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