Exploiting Connections Between MIMO MMSE Achievable Rate and MIMO Mutual Information

Author

McKay, Matthew R. ; Collings, Iain B. ; Tulino, Antonia M.

Author_Institution

Dept. of Electron. & Comput. Eng., Hong Kong Univ. of Sci. & Technol., Kowloon, China

fYear

2009

fDate

14-18 June 2009

Firstpage

1

Lastpage

5

Abstract

We present an interesting and powerful new framework connecting the achievable sum rate of multiple-input multiple-output (MIMO) wireless systems employing linear minimum mean-squared error (MMSE) receivers, and the ergodic MIMO mutual information. This allows the vast literature on ergodic MIMO mutual information to be directly applied to the analysis of MMSE receivers. As an example, the framework is particularized to spatially-correlated Rayleigh fading to yield new exact closed-form expressions for the achievable sum rate, as well as simplified expressions for high and low signal to noise ratios.

Keywords

MIMO communication; correlation methods; fading channels; least mean squares methods; radio receivers; MIMO MMSE achievable sum rate; ergodic MIMO mutual information; linear minimum mean-squared error receiver; multiple-input multiple-output system; spatially-correlated Rayleigh fading channel; wireless system; Closed-form solution; Fading; Information analysis; MIMO; Multiaccess communication; Mutual information; Paper technology; Rayleigh channels; Receiving antennas; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Communications, 2009. ICC '09. IEEE International Conference on

Conference_Location

Dresden

ISSN

1938-1883

Print_ISBN

978-1-4244-3435-0

Electronic_ISBN

1938-1883

Type

conf

DOI

10.1109/ICC.2009.5199016

Filename

5199016