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Abstract

Signal to interference plus noise ratio (SINR) is a widely common performance metric used in the majority of massive multiple-input, multiple-output (Ma-MIMO) research. This metric requires prior knowledge of the user channel vectors and the interference caused by inaccurate channel state information (CSI). However, the interference caused by inaccurate CSI can’t be calculated for realworld scenarios. On the other hand, a comprehensive performance indicator can be achieved by the Error Vector Magnitude (EVM) metric in real-world scenarios. This considers all impairments upon the transmitted symbol as seen at the receiver. However, measuring the EVM values for a subset of users requires each user to retransmit data symbols. This paper presents an estimation method with high accuracy by associating EVM to SINR values for MaMIMO with zero-forcing (ZF) and Minimum Mean Square Error (MMSE). Also introduced is a novel EVM prediction
method for subset of users taken from the original set of simultaneous users in a single cell Ma-MIMO. This method jointly relies on the channel correlation between users and the EVM performance to predict the EVM values for a subset of the available users without the need to retransmit data symbols. This method considers the user channel vector and the interference caused by inaccurate CSI, which makes it suitable for Ma-MIMO algorithms, such as user grouping and power control. Real-world experimental data-sets with real-time results are carried out to validate the EVM prediction method using software-defined radio Ma-MIMO testbed.
Original languageEnglish
Title of host publication2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)
Number of pages7
ISBN (Electronic)978-1-5386-8110-7
DOIs
Publication statusPublished - 11 Sep 2019
EventIEEE International Symposium on Personal, Indoor and Mobile Radio Communications - Istanbul, Turkey
Duration: 8 Sep 201911 Sep 2019
Conference number: 30
http://pimrc2019.ieee-pimrc.org/

Conference

ConferenceIEEE International Symposium on Personal, Indoor and Mobile Radio Communications
Abbreviated titleIEEE PIMRC 2019
CountryTurkey
CityIstanbul
Period8/09/1911/09/19
Internet address

Keywords

  • Massive MIMO
  • 5G
  • EVM
  • SINR estimation

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  • Cite this

    Boukley Hasan, W. A. G., Doufexi, A., Oikonomou, G., & Beach, M. A. (2019). EVM Prediction for Massive MIMO. In 2019 IEEE 30th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC) https://doi.org/10.1109/PIMRC.2019.8904437