Optimal energy efficiency in cell-free massive MIMO systems: A stochastic geometry approach

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26 Downloads (Pure)

Abstract

The increasing demand for green wireless communications and the benefits of the promising cell-free (CF) massive multiple-input-multiple-output (mMIMO) systems towards their optimal energy efficiency (EE) are the focal points of this work. Specifically, despite previous works assuming a uniform placement for the access points (APs), we consider that their locations follow a Poisson point process (PPP) which approaches their opportunistic spatial randomness. Based on stochastic geometry, we derive a lower bound on the average spectral efficiency, and under a realistic power consumption model for CF mMIMO systems, we formulate an EE maximization problem achieving to obtain in closed form the optimal EE per unit area in terms of the pilot reuse factor and the AP density. Note that we have defined the EE per unit area and not just the EE to characterize the energy in systems with multi-point transmission. Thus, we provide important design insights for energy-efficient CF mMIMO systems.
Original languageEnglish
Title of host publication2020 IEEE 31st Annual International Symposium on Personal, Indoor and Mobile Radio Communications
Subtitle of host publicationProceedings
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages7
ISBN (Electronic)9781728144900
ISBN (Print)9781728144917
DOIs
Publication statusPublished - 8 Oct 2020
Event31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020 - Virtual, London, United Kingdom
Duration: 31 Aug 20203 Sept 2020
https://pimrc2020.ieee-pimrc.org/

Publication series

NameIEEE International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC
Volume2020-August

Conference

Conference31st IEEE Annual International Symposium on Personal, Indoor and Mobile Radio Communications, PIMRC 2020
Country/TerritoryUnited Kingdom
CityVirtual, London
Period31/08/203/09/20
Internet address

Keywords

  • 5G and beyond MIMO systems
  • Cell-free massive MIMO systems
  • Energy efficiency
  • Small cell networks
  • Stochastic geometry

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