Regression-Based Channel Capacity for the Evaluation of 2×2 MIMO Antennas

Kazuhiro HONDA; Takeshi KITAMURA; Kun LI; Koichi OGAWA

doi:10.1587/transcom.2016EBP3107

Regression-Based Channel Capacity for the Evaluation of 2×2 MIMO Antennas

Kazuhiro HONDA, Takeshi KITAMURA, Kun LI, Koichi OGAWA

Full Text Views

0

Share
Cite this

Summary :

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.

Publication: IEICE TRANSACTIONS on Communications Vol.E100-B No.2 pp.323-335

Publication Date: 2017/02/01

Publicized: 2016/08/31

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2016EBP3107

Type of Manuscript: PAPER

Category: Antennas and Propagation

Authors

Kazuhiro HONDA
  University of Toyama
Takeshi KITAMURA
  University of Toyama
Kun LI
  University of Toyama
Koichi OGAWA
  University of Toyama

Keyword

MIMO antenna, channel capacity, Monte Carlo method, multivariate regression analysis

Cite this

Copy

Kazuhiro HONDA, Takeshi KITAMURA, Kun LI, Koichi OGAWA, "Regression-Based Channel Capacity for the Evaluation of 2×2 MIMO Antennas" in IEICE TRANSACTIONS on Communications, vol. E100-B, no. 2, pp. 323-335, February 2017, doi: 10.1587/transcom.2016EBP3107.
Abstract: 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.
URL: https://globals.ieice.org/en_transactions/communications/10.1587/transcom.2016EBP3107/_p

Copy

@ARTICLE{e100-b_2_323,
author={Kazuhiro HONDA, Takeshi KITAMURA, Kun LI, Koichi OGAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Regression-Based Channel Capacity for the Evaluation of 2×2 MIMO Antennas},
year={2017},
volume={E100-B},
number={2},
pages={323-335},
abstract={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.},
keywords={},
doi={10.1587/transcom.2016EBP3107},
ISSN={1745-1345},
month={February},}

Copy

TY - JOUR
TI - Regression-Based Channel Capacity for the Evaluation of 2×2 MIMO Antennas
T2 - IEICE TRANSACTIONS on Communications
SP - 323
EP - 335
AU - Kazuhiro HONDA
AU - Takeshi KITAMURA
AU - Kun LI
AU - Koichi OGAWA
PY - 2017
DO - 10.1587/transcom.2016EBP3107
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E100-B
IS - 2
JA - IEICE TRANSACTIONS on Communications
Y1 - February 2017
AB - 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.
ER -