Statistical characterization of multiple-input multiple-output (MIMO) channel capacity

Author

Ge, H. ; Wong, K.D. ; Barton, M. ; Liberti, J.C.

Author_Institution

Telcordia Technol., Red Bank, NJ, USA

Volume

2

fYear

2002

fDate

37316

Firstpage

789

Abstract

We derive precise as well as good approximate statistical characterizations, such as probability density functions and statistical moments of capacity, for different MIMO wireless channels. The characterizations help us to understand and predict the capacity gain expected from the MIMO technique, in terms of system parameters and channel dimension. It also helps us to design space-time modulation schemes that can take full advantage of the MIMO link for various wireless channels.

Keywords

Gaussian channels; MIMO systems; approximation theory; channel capacity; direction-of-arrival estimation; modulation; radio links; statistical analysis; DOA; MIMO channel capacity; MIMO link; MIMO wireless channels; PDF; approximate statistical characterizations; capacity gain; channel dimension; multiple-input multiple-output channel capacity; nonstructural Gaussian channel; probability density functions; space-time modulation; statistical moments; system parameters; wireless channels; Capacity planning; Channel capacity; MIMO; Matrix decomposition; Probability density function; Random variables; Receiving antennas; Symmetric matrices; Transmitting antennas; Wireless communication;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications and Networking Conference, 2002. WCNC2002. 2002 IEEE

Print_ISBN

0-7803-7376-6

Type

conf

DOI

10.1109/WCNC.2002.993369

Filename

993369