Massive MIMO with a Generalized Channel Model: Fundamental Aspects

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)
82 Downloads (Pure)

Abstract

Massive multiple-input multiple-output (MIMO) is becoming a mature technology, and has been approved for standardization in the 5G space. Although there are many 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 and discuss their relevance from a practical perspective.
Original languageEnglish
Title of host publication20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019): Proceedings
Publisher IEEE
DOIs
Publication statusPublished - 29 Aug 2019

Publication series

NameInternational Workshop on Signal Processing Advances in Wireless Communications (SPAWC): Proceedings
PublisherIEEE
ISSN (Electronic)1948-3252

Fingerprint Dive into the research topics of 'Massive MIMO with a Generalized Channel Model: Fundamental Aspects'. Together they form a unique fingerprint.

  • Cite this

    Matthaiou, M., Ngo, H. Q., Smith, P. J., Tataria, H., & Jin, S. (2019). Massive MIMO with a Generalized Channel Model: Fundamental Aspects. In 20th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2019): Proceedings (International Workshop on Signal Processing Advances in Wireless Communications (SPAWC): Proceedings). IEEE . https://doi.org/10.1109/SPAWC.2019.8815518