Performance Analysis of ZF and MMSE Equalizers for MIMO Systems: An In-Depth Study of the High SNR Regime

By Yi Jiang, Mahesh Kumar Varanasi, Jian Li. IEEE Transactions on Information Theory, 2011

427 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/90643343a56af1c123881d5a551025e15263b7ec

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Lajos Hanzo
2. Shaoshi Yang

In Electrical and Electronic Engineering

1. Shaoshi Yang
2. Lajos Hanzo

Citations in the corpus

• Massive MIMO Detection Techniques: A Survey (2019, neutral): “the best possible error rate performance [213].”
• Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs (2015, background): “ZF/MMSE-SIC Nr −Nt + 1 [44], [385], [589]–[591] See [44], [385], [589]–[591] Lower than that of Between O(N(3) t ) and O(N(4) t )”