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RegressionBased Channel Capacity for the Evaluation of 2×2 MIMO Antennas
Kazuhiro HONDA Takeshi KITAMURA Kun LI Koichi OGAWA
Publication
IEICE TRANSACTIONS on Communications
Vol.E100B
No.2
pp.323335 Publication Date: 2017/02/01
Online ISSN: 17451345
DOI: 10.1587/transcom.2016EBP3107
Type of Manuscript: PAPER Category: Antennas and Propagation Keyword: MIMO antenna, channel capacity, Monte Carlo method, multivariate regression analysis,
Full Text: PDF>>
Summary:
A simple but efficient method for evaluating the channel capacity of 2×2 multipleinput multipleoutput (MIMO) antenna systems is proposed. First, the channel capacity of a halfwavelength dipole array antenna is calculated using the Monte Carlo method by changing the incidentwave signaltonoise 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 antennahuman body electromagnetic interactions and radiowave 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 twodimensional fading environment.

