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Massive MIMO performance evaluation based on measured propagation data

Författare

Summary, in English

Massive MIMO, also known as very-large MIMO or large-scale antenna systems, is a new technique that potentially can offer large network capacities in multi-user scenarios. With a massive MIMO system, we consider the case where a base station equipped with a large number of antenna elements simultaneously serves multiple single-antenna users in the same time-frequency resource. So far, investigations are mostly based on theoretical channels with independent and identically distributed (i.i.d.) complex Gaussian coefficients, i.e., i.i.d. Rayleigh channels. Here, we investigate how massive MIMO performs in channels measured in real propagation environments. Channel measurements were performed at 2.6 GHz using a virtual uniform linear array (ULA) which has a physically large aperture, and a practical uniform cylindrical array (UCA) which is more compact in size, both having 128 antenna ports. Based on measurement data, we illustrate channel behavior of massive MIMO in three representative propagation conditions, and evaluate the corresponding performance. The investigation shows that the measured channels, for both array types, allow us to achieve performance close to that in i.i.d. Rayleigh channels. It is concluded that in real propagation environments we have characteristics that can allow for efficient use of massive MIMO, i.e., the theoretical advantages of this new technology can also be harvested in real channels.

Publiceringsår

2015

Språk

Engelska

Sidor

3899-3911

Publikation/Tidskrift/Serie

IEEE Transactions on Wireless Communications

Volym

14

Issue

7

Dokumenttyp

Artikel i tidskrift

Förlag

IEEE - Institute of Electrical and Electronics Engineers Inc.

Ämne

  • Electrical Engineering, Electronic Engineering, Information Engineering

Nyckelord

  • singular value spread
  • angular power spectra
  • channel capacity
  • very-large MIMO
  • Massive MIMO
  • channel measurements
  • multi-user MIMO
  • 5G

Status

Published

ISBN/ISSN/Övrigt

  • ISSN: 1536-1276