Global EE optimization of massive MIMO systems

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In this paper, we propose a power control algorithm for uplink and downlink multi-cell massive MIMO systems, where channel estimation error, pilot contamination and correlated channels are taken into account. Moreover, a closed-form power control algorithm under the assumption of equal power allocation for multiple users is provided. The simulation results show that equal power allocation is near optimal to maximize global EE for the system with zero-forcing detection/precoding, and is near optimal for the system with large number of antennas and MRC/MRT.

Original languageEnglish
Title of host publicationSPAWC 2015 - 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages221-225
Number of pages5
ISBN (Electronic)9781479919307
DOIs
StatePublished - 27 Aug 2015
Event16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015 - Stockholm, Sweden
Duration: 28 Jun 20151 Jul 2015

Publication series

NameIEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
Volume2015-August

Conference

Conference16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015
Country/TerritorySweden
CityStockholm
Period28/06/151/07/15

Keywords

  • Channel estimation
  • Downlink
  • MIMO
  • Resource management
  • Signal processing algorithms
  • Signal to noise ratio
  • Uplink

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