Random coupling model for wireless communication channels
Paper in proceedings, 2014

In this paper, we derive an explicit formula for the voltage-to-voltage transfer function of multiple-input multiple-output (MIMO) wireless channels. A statistical model, the random coupling model, is used to develop the open-circuit transfer function of the MIMO channel on a physical basis. The emulation of realistic wireless channels is typically performed through irregular cavities with high losses. In this case, we find that the transfer function takes a simple form involving the free-space impedance matrix of antennas and a fluctuation matrix expressing the wave chaos inside the environment. Monte Carlo simulations of the open-circuit transfer function are performed for MIMO systems up to three antennas in the transmit and receive arrays. In contrast to the common assumption that the MIMO channel fulfill multivariate normality (MVN), the Hans-Zinckler test of the obtained ensembles of the MIMO channel show that the MVN assumption of the MIMO channel tends to be invalid with an increasing number of antennas in the transmitting and receiving arrays, when mutual coupling is present in the arrays. Numerical results indicate that this effect is more pronounced at relatively low frequencies.

statistical electromagnetics

multivariate normality

MIMO

wireless channel

wave chaos

random matrix theory

reverberation chamber

losses

Author

G. Gradoni

University of Nottingham

University of Maryland

Chen Xiaoming

Chalmers, Signals and Systems, Communication and Antenna Systems, Antennas

T.M.J. Antonsen

University of Maryland

S.M. Anlage

University of Maryland

E. Ott

University of Maryland

IEEE International Symposium on Electromagnetic Compatibility

2158-1118 (eISSN)

878-882

Subject Categories

Other Electrical Engineering, Electronic Engineering, Information Engineering

DOI

10.1109/EMCEurope.2014.6931027

ISBN

978-147993225-2

More information

Latest update

2/28/2018