Massive MIMO with a Generalized Channel Model: Fundamental Aspects

Michail Matthaiou, Hien Quoc Ngo, Peter J Smith, Harsh Tataria, Shi Jin

Research output: Contribution to conferencePaper, not in proceedingpeer-review

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Abstract

Massive multiple-input multiple-output (MIMO) is becoming a mature technology, and has been approved for standardization in the 5G ecosystem. Although there is a large body of papers on the theoretical analysis of massive MIMO, the majority of relevant work assumes the simplified, yet overly idealistic, Kronecker-type model for spatial correlation. Motivated by the deficiencies of the Kronecker model, we invoke a naturally generalized spatial correlation model, that is the Weichselberger model. For this model, we pursue a comprehensive analysis of massive MIMO performance in terms of channel hardening and favorable propagation (FP). We identify a number of scenarios under which massive MIMO may fail, in terms of channel hardening and FP, and discuss their relevance from a practical perspective.
Original languageEnglish
Number of pages6
Publication statusPublished - 2018 Nov 12
EventIEEE International Conference on Communications (ICC) 2019 - Shaghai, China
Duration: 2019 May 202019 May 24
http://icc2019.ieee-icc.org/

Conference

ConferenceIEEE International Conference on Communications (ICC) 2019
Abbreviated titleIEEE ICC 2019
Country/TerritoryChina
CityShaghai
Period2019/05/202019/05/24
Internet address

Subject classification (UKÄ)

  • Communication Systems

Keywords

  • Massive MIMO
  • Spatial correlation
  • multiuser channels
  • Channel hardening
  • Favorable propagation
  • Weishelberger model
  • Ricean fading

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