Massive MIMO Performance Evaluation Based on Measured Propagation Data

By Xiang Gao, Ove Edfors, Fredrik Rusek, Fredrik Tufvesson. IEEE Transactions on Wireless Communications, 2014

541 citations recorded by the source corpus.

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.

Subfields: Aerospace Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/dc9fa92c30062d6e43629fd35489a39068e51ba4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Aerospace Engineering

  1. Emil Björnson
  2. Luca Sanguinetti
  3. Merouane Debbah
  4. Jakob Hoydis
  5. Erik G. Larsson
  6. Andreas F. Molisch
  7. Fredrik Tufvesson
  8. Mansoor Shafi

In Electrical and Electronic Engineering

  1. Emil Björnson
  2. Luca Sanguinetti
  3. Jakob Hoydis
  4. Erik G. Larsson
  5. Merouane Debbah
  6. Rui Zhang
  7. Andreas F. Molisch
  8. Fredrik Tufvesson

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