For Full-Text PDF, please login, if you are a member of IEICE,|
or go to Pay Per View on menu list, if you are a nonmember of IEICE.
Regression-Based Channel Capacity for the Evaluation of 2×2 MIMO Antennas
Kazuhiro HONDA Takeshi KITAMURA Kun LI Koichi OGAWA
IEICE TRANSACTIONS on Communications
Publication Date: 2017/02/01
Online ISSN: 1745-1345
Type of Manuscript: PAPER
Category: Antennas and Propagation
MIMO antenna, channel capacity, Monte Carlo method, multivariate regression analysis,
Full Text: PDF>>
A simple but efficient method for evaluating the channel capacity of 2×2 multiple-input multiple-output (MIMO) antenna systems is proposed. First, the channel capacity of a half-wavelength dipole array antenna is calculated using the Monte Carlo method by changing the incident-wave signal-to-noise power ratio, the power difference between two elements, and the correlation coefficient. Using the calculated results, a polynomial function is derived by multivariate regression analysis to estimate the channel capacity. The validity of the developed function is confirmed by comparing the channel capacity estimated by the developed function with that calculated by the Monte Carlo method using a MIMO array antenna operated under various scenarios, including antenna-human body electromagnetic interactions and radio-wave propagation environments, for future MIMO systems. The function is also validated by means of two experimental approaches: the use of radiation patterns measured in an anechoic chamber and the use of a spatial fading emulator that can create a two-dimensional fading environment.