Impact of antenna correlation on the capacity of multiantenna channels

By Antonia Maria Tulino, Angel E. Lozano, Sergio Verdú. IEEE Transactions on Information Theory, 2005

413 citations recorded by the source corpus.

Subfields: Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/78e28e35785f8299d848109916c83ec5fa23346c

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. Robert W. Heath
2. Jeffrey G. Andrews
3. Angel E. Lozano
4. Ekram Hossain
5. Hesham Elsawy
6. Martin Haenggi
7. Harpreet S. Dhillon
8. Lajos Hanzo

In Electrical and Electronic Engineering

1. Jeffrey G. Andrews
2. Robert W. Heath
3. Angel E. Lozano
4. Panayotis G. Cottis
5. Pantelis-Daniel M. Arapoglou
6. Ahmed Alkhateeb
7. Lajos Hanzo
8. Tianyang Bai

Citations in the corpus

• Channel State Information Prediction for 5G Wireless Communications: A Deep Learning Approach (2020, background): “CHANNEL state information (CSI) is one of the most fundamental concepts of wireless communications [1], [2].”
• Fundamental Limits of Cooperation (2012, background): “It follows that, if the variances of the entries of are uniformly bounded, the expression in Proposition 1 satisfies the conditions for the large-dimensional analysis in [46] and [56].”
• MIMO over Satellite: A Review (2011, background): “High spatial correlation is detrimental to MIMO capacity [27].”