Massive MIMO with a Generalized Channel Model: Fundamental Aspects

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title = "Massive MIMO with a Generalized Channel Model: Fundamental Aspects",
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.",
author = "Michail Matthaiou and Ngo, {Hien Quoc} and Smith, {Peter J.} and Harsh Tataria and Shi Jin",
year = "2019",
doi = "10.1109/SPAWC.2019.8815518",
language = "English",
volume = "2019-July",
booktitle = "20th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
address = "United States",