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Towards extra large-scale MIMO: new channel properties and low-cost designs

  • Yu Han
  • , Shi Jin*
  • , Michalis Matthaiou
  • , Tony Q.S. Quek
  • , Chao-Kai Wen
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

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Abstract

Extra large-scale multiple-input multiple-output (MIMO) has been recognized as one of the potential development directions of massive MIMO. By employing even more antennas than massive MIMO in the fifth-generation era, extra largescale MIMO can further exploit the spatial domain resources and enable ultra high data rates, low latency communications as well as emerging applications, such as sensing and localization, in sixth-generation mobile communication systems. However, with the increase of the size of the antenna array, and the decrease of the distance between a user and the array, new channel properties, that did not manifest in conventional massive MIMO, start to kick in. Most importantly, existing research strategies pertaining to massive MIMO cannot be directly applied or simply extended to fit the extra large-scale MIMO case. Moreover, increasing the number of antennas will inevitably boost the total cost, which refers to not only the high hardware cost, but also the burden of vast processing and computations as well as the substantial training overhead. In this paper, we make a survey on the state-of-the-art on the new channel properties of and low-cost designs for extra large-scale MIMO systems. Particularly, we pursue a mathematical analysis to explain why the new features appear and illustrate how they affect the system model. Furthermore, we summarize and compare the low-cost designs from various perspectives and give our suggestions from a practical deployment point of view.

Original languageEnglish
Pages (from-to)14569-14594
Number of pages26
Journal IEEE Internet of Things Journal
Volume10
Issue number16
Early online date05 May 2023
DOIs
Publication statusPublished - 15 Aug 2023

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