English

Massive MIMO with a Generalized Channel Model: Fundamental Aspects

Signal Processing 2018-11-13 v1

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.

Keywords

Cite

@article{arxiv.1811.04635,
  title  = {Massive MIMO with a Generalized Channel Model: Fundamental Aspects},
  author = {Michail Matthaiou and Hien Quoc Ngo and Peter J. Smith and Harsh Tataria and Shi Jin},
  journal= {arXiv preprint arXiv:1811.04635},
  year   = {2018}
}

Comments

IEEE ICC 2019, submitted

R2 v1 2026-06-23T05:12:23.667Z