A Markov Model for MIMO Channel Condition Number with Application to Dual-Mode Antenna Selection

Author

Kuo, Ping-Heng ; Smith, Peter J. ; Garth, Lee M.

Author_Institution

Dept. of Electr. & Comput. Eng., Canterbury Univ., Christchurch

fYear

2007

fDate

22-25 April 2007

Firstpage

471

Lastpage

475

Abstract

The condition number is a well known indicator of the spatial selectivity of a MIMO wireless channel. The objective of this paper is to examine the temporal behavior of this metric using a Markov model construction. Specifically, we have developed two methods to calculate analytically the transition probabilities between Markov states. These methods involve the joint density for the channel eigenvalues at two adjacent time instances and the level crossing rates (LCR) of the condition number. We then use our Markov model to investigate the behavior of dual-mode antenna selection schemes in an i.i.d. Rayleigh fading channel.

Keywords

MIMO communication; Markov processes; Rayleigh channels; eigenvalues and eigenfunctions; MIMO wireless channel; Markov model; Rayleigh fading channel; channel eigenvalues; dual-mode antenna selection; level crossing rates; transition probabilities; Adaptive systems; Application software; Block codes; Eigenvalues and eigenfunctions; Fading; Feedback; MIMO; Probability; Rayleigh channels; Receiving antennas;

fLanguage

English

Publisher

ieee

Conference_Titel

Vehicular Technology Conference, 2007. VTC2007-Spring. IEEE 65th

Conference_Location

Dublin

ISSN

1550-2252

Print_ISBN

1-4244-0266-2

Type

conf

DOI

10.1109/VETECS.2007.108

Filename

4212536